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ORCIDRonald M. Summers
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2020 – today
- 2024
[j76]Tejas Sudharshan Mathai
, Sungwon Lee, Thomas C. Shen, Daniel C. Elton, Zhiyong Lu, Ronald M. Summers:
Universal detection and segmentation of lymph nodes in multi-parametric MRI. Int. J. Comput. Assist. Radiol. Surg. 19(1): 163-170 (2024)- [j75]Jianfei Liu, Omid Shafaat, Sayantan Bhadra, Christopher Parnell, Ayden Harris, Ronald M. Summers:
Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior. Int. J. Comput. Assist. Radiol. Surg. 19(3): 443-448 (2024) - [j74]Tejas Sudharshan Mathai, Bohan Liu, Ronald M. Summers:
Segmentation of mediastinal lymph nodes in CT with anatomical priors. Int. J. Comput. Assist. Radiol. Surg. 19(8): 1537-1544 (2024) - [j73]Benjamin Hou, Tejas Sudharshan Mathai, Jianfei Liu, Christopher Parnell, Ronald M. Summers:
Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study. Int. J. Comput. Assist. Radiol. Surg. 19(8): 1589-1596 (2024) - [j72]Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Ronald M. Summers:
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis. Comput. Medical Imaging Graph. 112: 102335 (2024) - [j71]Tejas Sudharshan Mathai, Thomas C. Shen, Daniel C. Elton, Sungwon Lee, Zhiyong Lu, Ronald M. Summers:
Detection of abdominopelvic lymph nodes in multi-parametric MRI. Comput. Medical Imaging Graph. 114: 102363 (2024) - [j70]David Oluigbo, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers:
Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data. Comput. Medical Imaging Graph. 116: 102419 (2024) - [j69]Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye:
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. Medical Image Anal. 91: 103022 (2024) - [j68]Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. 97: 103224 (2024) - [j67]Xinyue Hu, Lin Gu, Kazuma Kobayashi, Liangchen Liu, Mengliang Zhang, Tatsuya Harada, Ronald M. Summers, Yingying Zhu:
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning. Medical Image Anal. 97: 103279 (2024) - [j66]Qiao Jin, Fangyuan Chen, Yiliang Zhou, Ziyang Xu, Justin M. Cheung, Robert Chen, Ronald M. Summers, Justin F. Rousseau, Peiyun Ni, Marc J. Landsman, Sally L. Baxter, Subhi J. Al'Aref, Yijia Li, Alexander Chen, Josef A. Brejt, Michael F. Chiang, Yifan Peng, Zhiyong Lu:
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. npj Digit. Medicine 7(1) (2024) - [c252]Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu:
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports. ICHI 2024: 402-411 - [c251]Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers:
Automated Classification of Multi-Parametric Body MRI Series. ISBI 2024: 1-5 - [c250]Andrew M. Nguyen, Tejas Sudharshan Mathai, Liangchen Liu, Jianfei Liu, Ronald M. Summers:
Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in Ct Angiography. ISBI 2024: 1-5 - [c249]Pritam Mukherjee, Ronald M. Summers:
AI Fairness in Medical Imaging: Controlling for Disease Severity. FAIMI/EPIMI@MICCAI 2024: 24-33 - [i103]Benjamin Hou, Tejas Sudharshan Mathai, Jianfei Liu, Christopher Parnell, Ronald M. Summers:
Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study. CoRR abs/2401.05294 (2024) - [i102]Tejas Sudharshan Mathai, Bohan Liu, Ronald M. Summers:
Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors. CoRR abs/2401.06272 (2024) - [i101]Qiao Jin, Fangyuan Chen, Yiliang Zhou, Ziyang Xu, Justin M. Cheung, Robert Chen, Ronald M. Summers, Justin F. Rousseau, Peiyun Ni, Marc J. Landsman, Sally L. Baxter, Subhi J. Al'Aref, Yijia Li, Michael F. Chiang, Yifan Peng, Zhiyong Lu:
Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine. CoRR abs/2401.08396 (2024) - [i100]Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu:
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports. CoRR abs/2401.16578 (2024) - [i99]Tao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, Ronald M. Summers:
Weakly-Supervised Detection of Bone Lesions in CT. CoRR abs/2402.00175 (2024) - [i98]Kimberly Helm, Tejas Sudharshan Mathai, Boah Kim, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers:
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks. CoRR abs/2402.08098 (2024) - [i97]David C. Oluigboa, Bikash Santra, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers:
Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT. CoRR abs/2402.08697 (2024) - [i96]Andrew M. Nguyen, Jianfei Liu, Tejas Sudharshan Mathai, Peter C. Grayson, Ronald M. Summers:
Automated Plaque Detection and Agatston Score Estimation on Non-Contrast CT Scans: A Multicenter Study. CoRR abs/2402.09569 (2024) - [i95]Jianfei Liu, Christopher Parnell, Ronald M. Summers:
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation. CoRR abs/2403.03882 (2024) - [i94]Ricardo Bigolin Lanfredi, Pritam Mukherjee, Ronald M. Summers:
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification. CoRR abs/2403.04024 (2024) - [i93]Qingqing Zhu, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen, Zhizheng Wang, Ruida Cheng, Ronald M. Summers, Zhiyong Lu:
Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4. CoRR abs/2403.05680 (2024) - [i92]Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Ronald M. Summers:
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI. CoRR abs/2405.05944 (2024) - [i91]Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers:
Automated classification of multi-parametric body MRI series. CoRR abs/2405.08247 (2024) - [i90]Benjamin Hou, Qingqing Zhu, Tejas Sudarshan Mathai, Qiao Jin, Zhiyong Lu, Ronald M. Summers:
Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification. CoRR abs/2406.03688 (2024) - [i89]Benjamin Hou, Sung-Won Lee, Jung-Min Lee, Christopher Koh, Jing Xiao, Perry J. Pickhardt, Ronald M. Summers:
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification. CoRR abs/2406.15979 (2024) - 2023
- [j65]Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Zhiyong Lu, Ronald M. Summers:
Universal lymph node detection in T2 MRI using neural networks. Int. J. Comput. Assist. Radiol. Surg. 18(2): 313-318 (2023) - [j64]Seung Yeon Shin, Thomas C. Shen, Ronald M. Summers:
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision. Comput. Medical Imaging Graph. 108: 102259 (2023) - [c248]Liangchen Liu, Benjamin Hou, Manas Kumar Nag, Jianfei Liu, Navid Hasani, Thomas C. Shen, Yingying Zhu, Babak Saboury, Jing Xiao, Ronald M. Summers:
Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors. ISBI 2023: 1-5 - [c247]Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu:
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. KDD 2023: 4156-4165 - [c246]Akshaya Anand, Jianfei Liu, Thomas C. Shen, W. Marston Linehan, Peter A. Pinto, Ronald M. Summers:
Automated classification of intravenous contrast enhancement phase of CT scans using residual networks. Medical Imaging: Computer-Aided Diagnosis 2023 - [c245]Jared Frazier, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers:
3D universal lesion detection and tagging in CT with self-training. Medical Imaging: Computer-Aided Diagnosis 2023 - [c244]Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Zhiyong Lu, Ronald M. Summers:
Universal lymph node detection in multiparametric MRI with selective augmentation. Medical Imaging: Computer-Aided Diagnosis 2023 - [c243]Manas Kumar Nag, Jianfei Liu, Seung Yeon Shin, Benjamin Hou, Liangchen Liu, Perry J. Pickhardt, Jung-Min Lee, Ronald M. Summers:
Improved ascites segmentation with bladder identification using anatomical location residual U-Net. Medical Imaging: Computer-Aided Diagnosis 2023 - [c242]Alexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers:
Correcting class imbalances with self-training for improved universal lesion detection and tagging. Medical Imaging: Computer-Aided Diagnosis 2023 - [c241]Seung Yeon Shin, Thomas C. Shen, Stephen A. Wank, Ronald M. Summers:
Improving small lesion segmentation in CT scans using intensity distribution supervision: application to small bowel carcinoid tumor. Medical Imaging: Computer-Aided Diagnosis 2023 - [c240]Bikash Santra, Abhishek Jha, Pritam Mukherjee, Mayank Patel, Karel Pacak, Ronald M. Summers:
Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images. AMAI@MICCAI 2023: 62-71 - [c239]Jianfei Liu, Omid Shafaat, Ronald M. Summers:
A Dual-Branch Network with Mixed and Self-Supervision for Medical Image Segmentation: An Application to Segment Edematous Adipose Tissue. MILLanD@MICCAI 2023: 158-167 - [c238]Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu:
Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports. MICCAI (5) 2023: 189-198 - [c237]Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers:
Semantic Image Synthesis for Abdominal CT. DGM4MICCAI 2023: 214-224 - [c236]Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang:
How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? MICCAI (5) 2023: 663-673 - [c235]Ronald M. Summers:
Radiology data warehouses: data preparation and dissemination (Conference Presentation). Medical Imaging: Image Processing 2023 - [i88]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i87]Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu:
Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports. CoRR abs/2306.08749 (2023) - [i86]Seung Yeon Shin, Thomas C. Shen, Ronald M. Summers:
Improving Segmentation and Detection of Lesions in CT Scans Using Intensity Distribution Supervision. CoRR abs/2307.05804 (2023) - [i85]Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu:
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. CoRR abs/2307.11986 (2023) - [i84]Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye:
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. CoRR abs/2308.00193 (2023) - [i83]Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang:
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? CoRR abs/2308.09180 (2023) - [i82]Mengliang Zhang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu:
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning. CoRR abs/2309.03331 (2023) - [i81]Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR abs/2310.16112 (2023) - [i80]Andrew M. Nguyen, Tejas Sudharshan Mathai, Liangchen Liu, Jianfei Liu, Ronald M. Summers:
Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in CT Angiography. CoRR abs/2311.13100 (2023) - [i79]M. Jorge Cardoso, Julia Moosbauer, Tessa Sundaram Cook, Barbaros Selnur Erdal, Brad W. Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sébastien Ourselin, Franz Pfister:
RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR abs/2311.14570 (2023) - [i78]Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers:
Semantic Image Synthesis for Abdominal CT. CoRR abs/2312.06453 (2023) - 2022
- [j63]Shuai Wang, Yingying Zhu, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Youbao Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images. Medical Image Anal. 77: 102345 (2022) - [j62]Xiaoshuang Shi, Yifan Peng, Qingyu Chen, Tiarnan D. Keenan, Alisa T. Thavikulwat, Sungwon Lee, Yuxing Tang, Emily Y. Chew, Ronald M. Summers, Zhiyong Lu:
Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognit. 132: 108923 (2022) - [c234]Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. ISBI 2022: 1-5 - [c233]Daniel C. Elton, Andy Chen, Perry J. Pickhardt, Ronald M. Summers:
Cardiovascular disease and all-cause mortality risk prediction from abdominal CT using deep learning. Medical Imaging: Computer-Aided Diagnosis 2022 - [c232]Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Lymph node detection in T2 MRI with transformers. Medical Imaging: Computer-Aided Diagnosis 2022 - [c231]Tarun Mattikalli, Tejas Sudharshan Mathai, Ronald M. Summers:
Universal lesion detection in CT scans using neural network ensembles. Medical Imaging: Computer-Aided Diagnosis 2022 - [c230]Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
A graph-theoretic algorithm for small bowel path tracking in CT scans. Medical Imaging: Computer-Aided Diagnosis 2022 - [c229]Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang:
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. DALI@MICCAI 2022: 22-32 - [c228]Pritam Mukherjee, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers:
Automated Assessment of Renal Calculi in Serial Computed Tomography Scans. AMAI@MICCAI 2022: 39-48 - [c227]Varun Naga, Tejas Sudharshan Mathai, Angshuman Paul, Ronald M. Summers:
Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training. MILLanD@MICCAI 2022: 55-64 - [c226]Liangchen Liu, Jianfei Liu, Manas Kumar Nag, Navid Hasani, Seung Yeon Shin, Sriram S. Paravastu, Babak Saboury, Jing Xiao, Lingyun Huang, Ronald M. Summers:
Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. MMMI@MICCAI 2022: 121-129 - [c225]Peter D. Erickson, Tejas Sudharshan Mathai, Ronald M. Summers:
Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT. MILLanD@MICCAI 2022: 177-186 - [c224]Seung Yeon Shin, Ronald M. Summers:
Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations. MICCAI (5) 2022: 549-559 - [i77]Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Zhiyong Lu, Ronald M. Summers:
Universal Lymph Node Detection in T2 MRI using Neural Networks. CoRR abs/2204.00622 (2022) - [i76]Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i75]Seung Yeon Shin, Ronald M. Summers:
Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations. CoRR abs/2206.14847 (2022) - [i74]Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. CoRR abs/2207.14436 (2022) - [i73]Seung Yeon Shin, Thomas C. Shen, Stephen A. Wank, Ronald M. Summers:
Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor. CoRR abs/2207.14700 (2022) - [i72]Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang:
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. CoRR abs/2208.13365 (2022) - 2021
- [j61]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis. Medical Image Anal. 67: 101839 (2021) - [j60]Angshuman Paul, Yuxing Tang, Thomas C. Shen, Ronald M. Summers:
Discriminative ensemble learning for few-shot chest x-ray diagnosis. Medical Image Anal. 68: 101911 (2021) - [j59]S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers:
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. Proc. IEEE 109(5): 820-838 (2021) - [j58]Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. IEEE Trans. Big Data 7(1): 3-12 (2021) - [j57]Angshuman Paul, Thomas C. Shen, Sungwon Lee, Niranjan Balachandar, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training. IEEE Trans. Medical Imaging 40(10): 2642-2655 (2021) - [c223]Angshuman Paul, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature. ISBI 2021: 344-348 - [c222]Yingying Zhu, Shuai Wang, Qingyu Chen, Sungwon Lee, Thomas C. Shen, Daniel C. Elton, Zhiyong Lu, Ronald M. Summers:
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI. MLMI@MICCAI 2021: 101-109 - [c221]Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation. MICCAI (3) 2021: 282-292 - [c220]Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz:
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. MICCAI (7) 2021: 293-303 - [c219]Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles. MLMI@MICCAI 2021: 682-691 - [c218]Tianshu Chu, Xinmeng Li, Huy V. Vo, Ronald M. Summers, Elena Sizikova:
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning. MIDL 2021: 60-73 - [i71]Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein:
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - [i70]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i69]Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz:
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. CoRR abs/2107.02104 (2021) - [i68]Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
A Graph-theoretic Algorithm for Small Bowel Path Tracking in CT Scans. CoRR abs/2110.00466 (2021) - [i67]Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Lymph Node Detection in T2 MRI with Transformers. CoRR abs/2111.04885 (2021) - [i66]Tarun Mattikalli, Tejas Sudharshan Mathai, Ronald M. Summers:
Universal Lesion Detection in CT Scans using NeuralNetwork Ensembles. CoRR abs/2111.04886 (2021) - 2020
- [j56]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The future of digital health with federated learning. npj Digit. Medicine 3 (2020) - [j55]Yuxing Tang, Youbao Tang, Yifan Peng, Ke Yan, Mohammadhadi Bagheri, Bernadette A. Redd, Catherine J. Brandon, Zhiyong Lu, Mei Han, Jing Xiao, Ronald M. Summers:
Automated abnormality classification of chest radiographs using deep convolutional neural networks. npj Digit. Medicine 3 (2020) - [j54]Ling Zhang, Le Lu, Xiaosong Wang, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao:
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. IEEE Trans. Medical Imaging 39(4): 1114-1126 (2020) - [c217]Yifan Peng, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yuxing Tang, Qingyu Chen, Shuai Wang, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
Automatic recognition of abdominal lymph nodes from clinical text. ClinicalNLP@EMNLP 2020: 101-110 - [c216]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly Supervised Lesion Co-Segmentation on Ct Scans. ISBI 2020: 203-206 - [c215]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly-supervised lesion segmentation on CT scans using co-segmentation. Medical Imaging: Computer-Aided Diagnosis 2020 - [c214]Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers:
Accurately identifying vertebral levels in large datasets. Medical Imaging: Computer-Aided Diagnosis 2020 - [c213]Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers:
Bone suppression on chest radiographs with adversarial learning. Medical Imaging: Computer-Aided Diagnosis 2020 - [c212]Angshuman Paul, Yuxing Tang, Ronald M. Summers:
Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble. Medical Imaging: Computer-Aided Diagnosis 2020 - [c211]Sai Aditya Sriram, Angshuman Paul, Yingying Zhu, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers:
Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation. Medical Imaging: Computer-Aided Diagnosis 2020 - [c210]Angshuman Paul, Thomas C. Shen, Niranjan Balachandar, Yuxing Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 103-111 - [c209]Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers:
Deep Small Bowel Segmentation with Cylindrical Topological Constraints. MICCAI (4) 2020: 207-215 - [c208]Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers:
Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model. MICCAI (2) 2020: 379-389 - [c207]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. MICCAI (4) 2020: 512-522 - [c206]Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers:
One Click Lesion RECIST Measurement and Segmentation on CT Scans. MICCAI (4) 2020: 573-583 - [c205]Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker:
Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks. MICCAI (7) 2020: 710-719 - [i65]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation. CoRR abs/2001.08590 (2020) - [i64]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly Supervised Lesion Co-segmentation on CT Scans. CoRR abs/2001.09174 (2020) - [i63]Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers:
Accurately identifying vertebral levels in large datasets. CoRR abs/2001.10503 (2020) - [i62]Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers:
Bone Suppression on Chest Radiographs With Adversarial Learning. CoRR abs/2002.03073 (2020) - [i61]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The Future of Digital Health with Federated Learning. CoRR abs/2003.08119 (2020) - [i60]Yingying Zhu, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers:
Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection. CoRR abs/2005.11384 (2020) - [i59]Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature. CoRR abs/2006.06177 (2020) - [i58]Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Benjamin M. Glocker:
Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks. CoRR abs/2006.16741 (2020) - [i57]Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert:
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction. CoRR abs/2007.05993 (2020) - [i56]Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers:
Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model. CoRR abs/2007.07230 (2020) - [i55]Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers:
Deep Small Bowel Segmentation with Cylindrical Topological Constraints. CoRR abs/2007.08674 (2020) - [i54]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. CoRR abs/2007.09791 (2020) - [i53]Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers:
One Click Lesion RECIST Measurement and Segmentation on CT Scans. CoRR abs/2007.11087 (2020) - [i52]S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers:
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. CoRR abs/2008.09104 (2020)
2010 – 2019
- 2019
- [c204]Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology. CVPR 2019: 8523-8532 - [c203]Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu:
A self-attention based deep learning method for lesion attribute detection from CT reports. ICHI 2019: 1-5 - [c202]Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports. ISBI 2019: 285-288 - [c201]Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Veit Sandfort, Ronald M. Summers:
A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection. ISBI 2019: 780-783 - [c200]Paras Mehta, Veit Sandfort, Daan Gheysens, Gert-Jan Braeckevelt, Jonathan Berte, Ronald M. Summers:
Segmenting The Kidney On CT Scans Via Crowdsourcing. ISBI 2019: 829-832 - [c199]Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jin Xiao, Ronald M. Summers:
Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining. ISBI 2019: 833-836 - [c198]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier. ISBI 2019: 1358-1361 - [c197]Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers:
A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans. Medical Imaging: Computer-Aided Diagnosis 2019: 109501L - [c196]Youbao Tang, Sooyoun Oh, Yuxing Tang, Jing Xiao, Ronald M. Summers:
CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation. Medical Imaging: Computer-Aided Diagnosis 2019: 109503V - [c195]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Deep adversarial one-class learning for normal and abnormal chest radiograph classification. Medical Imaging: Computer-Aided Diagnosis 2019: 1095018 - [c194]Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. MICCAI (6) 2019: 194-202 - [c193]Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers:
TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays. MICCAI (6) 2019: 431-440 - [c192]Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers:
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. MIDL 2019: 457-467 - [p10]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Tumor Growth Prediction Using Convolutional Networks. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 239-260 - [p9]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 369-392 - [p8]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 393-412 - [p7]Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers:
Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 413-435 - [i51]Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers:
ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining. CoRR abs/1901.06359 (2019) - [i50]Ling Zhang, Le Lu, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao:
Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. CoRR abs/1902.08716 (2019) - [i49]Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso:
A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR abs/1902.09063 (2019) - [i48]Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Fine-grained lesion annotation in CT images with knowledge mined from radiology reports. CoRR abs/1903.01505 (2019) - [i47]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier. CoRR abs/1903.02040 (2019) - [i46]Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology. CoRR abs/1904.04661 (2019) - [i45]Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers:
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. CoRR abs/1904.09229 (2019) - [i44]Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu:
A self-attention based deep learning method for lesion attribute detection from CT reports. CoRR abs/1904.13018 (2019) - [i43]Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. CoRR abs/1908.04373 (2019) - [i42]Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers:
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays. CoRR abs/1908.07926 (2019) - [i41]Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Kerstin Hammernik:
Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction. CoRR abs/1912.05480 (2019) - [i40]Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert:
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction. CoRR abs/1912.09278 (2019) - 2018
- [j53]Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura:
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(1): 1-6 (2018) - [j52]Adrian Barbu, Le Lu, Holger Roth, Ari Seff, Ronald M. Summers:
An analysis of robust cost functions for CNN in computer-aided diagnosis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 253-258 (2018) - [j51]Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers:
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation. Medical Image Anal. 45: 94-107 (2018) - [j50]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. IEEE Trans. Medical Imaging 37(2): 638-648 (2018) - [c191]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays. CVPR 2018: 9049-9058 - [c190]Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers:
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. CVPR 2018: 9261-9270 - [c189]Ke Yan, Le Lu, Ronald M. Summers:
Unsupervised body part regression via spatially self-ordering convolutional neural networks. ISBI 2018: 1022-1025 - [c188]Jiamin Liu, Jinzheng Cai, Karthik Chellamuthu, Mohammadhadi Bagheri, Le Lu, Ronald M. Summers:
Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans. ISBI 2018: 1092-1095 - [c187]Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao:
Self-learning to detect and segment cysts in lung CT images without manual annotation. ISBI 2018: 1100-1103 - [c186]Zhihui Quo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao:
Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans. ISBI 2018: 1230-1233 - [c185]Jianhua Yao, Robert Zhu, Pomi Yun, Nathan Hsieh, William Kovacs, Andrew E. Arai, Ami Mankodi, Ronald M. Summers, A. Reghan Foley, Carsten G. Bönnemann:
Tracking diaphragm and chest wall movement on cine-MRI. ISBI 2018: 1301-1304 - [c184]Jiamin Liu, Karthik Chellamuthu, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers:
A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans. Medical Imaging: Computer-Aided Diagnosis 2018: 105753B - [c183]Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. MLMI@MICCAI 2018: 46-54 - [c182]Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers:
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. MLMI@MICCAI 2018: 249-258 - [c181]Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. MICCAI (4) 2018: 396-404 - [c180]Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri, Jing Xiao, Ronald M. Summers:
Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks. MICCAI (4) 2018: 405-413 - [c179]Ke Yan, Mohammadhadi Bagheri, Ronald M. Summers:
3D Context Enhanced Region-Based Convolutional Neural Network for End-to-End Lesion Detection. MICCAI (1) 2018: 511-519 - [c178]Nathan Lay, Yohannes Tsehay, Yohan Sumathipala, Ruida Cheng, Sonia Gaur, Clayton Smith, Adrian Barbu, Le Lu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers:
A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. MICCAI (2) 2018: 930-939 - [i39]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays. CoRR abs/1801.04334 (2018) - [i38]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. CoRR abs/1801.08468 (2018) - [i37]Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao:
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation. CoRR abs/1801.08486 (2018) - [i36]Zhihui Guo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao:
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans. CoRR abs/1801.08599 (2018) - [i35]Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST. CoRR abs/1801.08614 (2018) - [i34]Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao:
DeepPap: Deep Convolutional Networks for Cervical Cell Classification. CoRR abs/1801.08616 (2018) - [i33]Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri, Jing Xiao, Ronald M. Summers:
Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks. CoRR abs/1806.09507 (2018) - [i32]Ke Yan, Mohammadhadi Bagheri, Ronald M. Summers:
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection. CoRR abs/1806.09648 (2018) - [i31]Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. CoRR abs/1807.01172 (2018) - [i30]Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. CoRR abs/1807.07144 (2018) - [i29]Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers:
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. CoRR abs/1807.07532 (2018) - 2017
- [j49]Marc D. Kohli, Ronald M. Summers, J. Raymond Geis:
Medical Image Data and Datasets in the Era of Machine Learning - Whitepaper from the 2016 C-MIMI Meeting Dataset Session. J. Digit. Imaging 30(4): 392-399 (2017) - [j48]Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling. IEEE Trans. Image Process. 26(1): 386-399 (2017) - [j47]Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao:
DeepPap: Deep Convolutional Networks for Cervical Cell Classification. IEEE J. Biomed. Health Informatics 21(6): 1633-1643 (2017) - [j46]Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling. IEEE Trans. Medical Imaging 36(1): 111-123 (2017) - [c177]Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Zhiyong Lu:
Text Mining Radiology Reports for Deep Learning Radiology Images. AMIA 2017 - [c176]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. CVPR 2017: 3462-3471 - [c175]Karthik Chellamuthu, Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Le Lu, Veit Sandfort, Ronald M. Summers:
Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks. ISBI 2017: 388-391 - [c174]Ling Zhang, Milan Sonka, Le Lu, Ronald M. Summers, Jianhua Yao:
Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei. ISBI 2017: 406-409 - [c173]Yohannes Tsehay, Nathan Lay, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers:
Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. ISBI 2017: 642-645 - [c172]Ruida Cheng, Nathan Lay, Francesca Mertan, Baris Turkbey, Holger R. Roth, Le Lu, William Gandler, Evan S. McCreedy, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe, Ronald M. Summers:
Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. ISBI 2017: 749-753 - [c171]Jiamin Liu, Le Lu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers:
Pelvic artery calcification detection on CT scans using convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2017: 101341A - [c170]Uyen N. Hoang, Ashkan A. Malayeri, Nathan S. Lay, Ronald M. Summers, Jianhua Yao:
Texture analysis of common renal masses in multiple MR sequences for prediction of pathology. Medical Imaging: Computer-Aided Diagnosis 2017: 101343J - [c169]Yohannes K. Tsehay, Nathan S. Lay, Holger R. Roth, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers:
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. Medical Imaging: Computer-Aided Diagnosis 2017: 1013405 - [c168]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Personalized Pancreatic Tumor Growth Prediction via Group Learning. MICCAI (2) 2017: 424-432 - [c167]Adam P. Harrison, Ziyue Xu, Kevin George, Le Lu, Ronald M. Summers, Daniel J. Mollura:
Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. MICCAI (3) 2017: 621-629 - [c166]Jianhua Yao, William Kovacs, Nathan Hsieh, Chia-Ying Liu, Ronald M. Summers:
Holistic Segmentation of Intermuscular Adipose Tissues on Thigh MRI. MICCAI (1) 2017: 737-745 - [c165]Ruida Cheng, Holger R. Roth, Nathan Lay, Le Lu, Baris Turkbey, William Gandler, Evan S. McCreedy, Peter L. Choyke, Ronald M. Summers, Matthew J. McAuliffe:
Automatic MR prostate segmentation by deep learning with holistically-nested networks. Medical Imaging: Image Processing 2017: 101332H - [c164]Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers:
Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition. WACV 2017: 998-1007 - [p6]Hoo-Chang Shin, Le Lu, Ronald M. Summers:
Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning. Deep Learning for Medical Image Analysis 2017: 405-421 - [p5]Ronald M. Summers:
Deep Learning and Computer-Aided Diagnosis for Medical Image Processing: A Personal Perspective. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 3-10 - [p4]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 35-48 - [p3]Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers:
Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 113-136 - [p2]Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 279-302 - [p1]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 305-321 - [i28]Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura:
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling. CoRR abs/1701.05616 (2017) - [i27]Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers:
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition. CoRR abs/1701.06599 (2017) - [i26]Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers:
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation. CoRR abs/1702.00045 (2017) - [i25]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. CoRR abs/1705.02315 (2017) - [i24]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Personalized Pancreatic Tumor Growth Prediction via Group Learning. CoRR abs/1706.00493 (2017) - [i23]Adam P. Harrison, Ziyue Xu, Kevin George, Le Lu, Ronald M. Summers, Daniel J. Mollura:
Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. CoRR abs/1706.03702 (2017) - [i22]Ke Yan, Le Lu, Ronald M. Summers:
Unsupervised body part regression using convolutional neural network with self-organization. CoRR abs/1707.03891 (2017) - [i21]Ke Yan, Xiaosong Wang, Le Lu, Ronald M. Summers:
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations. CoRR abs/1710.01766 (2017) - [i20]Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers:
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database. CoRR abs/1711.10535 (2017) - [i19]Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Zhiyong Lu:
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports. CoRR abs/1712.05898 (2017) - 2016
- [j45]Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke, Ronald M. Summers, Jianhua Yao:
Regional infarction identification from cardiac CT images: a computer-aided biomechanical approach. Int. J. Comput. Assist. Radiol. Surg. 11(9): 1573-1583 (2016) - [j44]Jianhua Yao, Joseph E. Burns, Daniel Forsberg, Alexander Seitel, Abtin Rasoulian, Purang Abolmaesumi, Kerstin Hammernik, Martin Urschler, Bulat Ibragimov, Robert Korez, Tomaz Vrtovec, Isaac Castro-Mateos, Jose M. Pozo, Alejandro F. Frangi, Ronald M. Summers, Shuo Li:
A multi-center milestone study of clinical vertebral CT segmentation. Comput. Medical Imaging Graph. 49: 16-28 (2016) - [j43]William Kovacs, Samuel Weisenthal, Les R. Folio, Qiaoyi Li, Ronald M. Summers, Jianhua Yao:
Retrieval, visualization, and mining of large radiation dosage data. Inf. Retr. J. 19(1-2): 38-58 (2016) - [j42]Samuel J. Weisenthal, Les R. Folio, William Kovacs, Ari Seff, Vana Derderian, Ronald M. Summers, Jianhua Yao:
Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection. J. Digit. Imaging 29(4): 406-419 (2016) - [j41]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. J. Mach. Learn. Res. 17: 107:1-107:31 (2016) - [j40]Hayit Greenspan, Bram van Ginneken, Ronald M. Summers:
Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique. IEEE Trans. Medical Imaging 35(5): 1153-1159 (2016) - [j39]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. IEEE Trans. Medical Imaging 35(5): 1170-1181 (2016) - [j38]Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers:
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans. Medical Imaging 35(5): 1285-1298 (2016) - [c163]Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers:
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. CVPR 2016: 2497-2506 - [c162]William Kovacs, Chia-Ying Liu, Ronald M. Summers, Jianhua Yao:
Identification of muscle and subcutaneous and intermuscular adipose tissue on thigh MRI of muscular dystrophy. ISBI 2016: 176-179 - [c161]Jiamin Liu, David Wang, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers:
Colitis detection on computed tomography using regional convolutional neural networks. ISBI 2016: 863-866 - [c160]Yinong Wang, Jianhua Yao, Joseph E. Burns, Ronald M. Summers:
Osteoporotic and neoplastic compression fracture classification on longitudinal CT. ISBI 2016: 1181-1184 - [c159]Mingchen Gao, Ziyue Xu, Le Lu, Aaron Wu, Isabella Nogues, Ronald M. Summers, Daniel J. Mollura:
Segmentation label propagation using deep convolutional neural networks and dense conditional random field. ISBI 2016: 1265-1268 - [c158]Holger R. Roth, Yinong Wang, Jianhua Yao, Le Lu, Joseph E. Burns, Ronald M. Summers:
Deep convolutional networks for automated detection of posterior-element fractures on spine CT. Medical Imaging: Computer-Aided Diagnosis 2016: 97850P - [c157]Jiamin Liu, Nathan Lay, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers:
Colitis detection on abdominal CT scans by rich feature hierarchies. Medical Imaging: Computer-Aided Diagnosis 2016: 97851N - [c156]Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers:
Improving vertebra segmentation through joint vertebra-rib atlases. Medical Imaging: Computer-Aided Diagnosis 2016: 97853O - [c155]William Kovacs, Chia-Ying Liu, Ronald M. Summers, Jianhua Yao:
Differentiation of fat, muscle, and edema in thigh MRIs using random forest classification. Medical Imaging: Computer-Aided Diagnosis 2016: 978507 - [c154]Nathan Lay, Sabrina Freeman, Baris Turkbey, Ronald M. Summers:
Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest. Medical Imaging: Computer-Aided Diagnosis 2016: 978527 - [c153]Yinong Wang, Jianhua Yao, Joseph E. Burns, Jiamin Liu, Ronald M. Summers:
Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks. CSI@MICCAI 2016: 116-124 - [c152]Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura:
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. MLMI@MICCAI 2016: 147-155 - [c151]Juan J. Cerrolaza, Ronald M. Summers, Marius George Linguraru:
Soft Multi-organ Shape Models via Generalized PCA: A General Framework. MICCAI (3) 2016: 219-228 - [c150]Isabella Nogues, Le Lu, Xiaosong Wang, Holger Roth, Gedas Bertasius, Nathan Lay, Jianbo Shi, Yohannes Tsehay, Ronald M. Summers:
Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. MICCAI (2) 2016: 388-397 - [c149]Holger R. Roth, Le Lu, Amal Farag, Andrew Sohn, Ronald M. Summers:
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation. MICCAI (2) 2016: 451-459 - [c148]Zachary DeStefano, Nadine Abi-Jaoudeh, Ming Li, Bradford J. Wood, Ronald M. Summers, Jianhua Yao:
CT thermometry for cone-beam CT guided ablation. Medical Imaging: Image-Guided Procedures 2016: 978615 - [c147]Ruida Cheng, Holger R. Roth, Le Lu, Shijun Wang, Baris Turkbey, William Gandler, Evan S. McCreedy, Harsh K. Agarwal, Peter L. Choyke, Ronald M. Summers, Matthew J. McAuliffe:
Active appearance model and deep learning for more accurate prostate segmentation on MRI. Medical Imaging: Image Processing 2016: 97842I - [c146]Le Lu, Dijia Wu, Nathan Lay, David Liu, Isabella Nogues, Ronald M. Summers:
Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization. WACV 2016: 1-10 - [i18]Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers:
Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT. CoRR abs/1601.03375 (2016) - [i17]Yinong Wang, Jianhua Yao, Joseph E. Burns, Ronald M. Summers:
Osteoporotic and Neoplastic Compression Fracture Classification on Longitudinal CT. CoRR abs/1601.07533 (2016) - [i16]Holger R. Roth, Yinong Wang, Jianhua Yao, Le Lu, Joseph E. Burns, Ronald M. Summers:
Deep convolutional networks for automated detection of posterior-element fractures on spine CT. CoRR abs/1602.00020 (2016) - [i15]Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers:
Improving Vertebra Segmentation through Joint Vertebra-Rib Atlases. CoRR abs/1602.00585 (2016) - [i14]Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers:
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. CoRR abs/1602.03409 (2016) - [i13]Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Isabella Nogues, Jianhua Yao, Ronald M. Summers:
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database. CoRR abs/1603.07965 (2016) - [i12]Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers:
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. CoRR abs/1603.08486 (2016) - [i11]Holger R. Roth, Le Lu, Amal Farag, Andrew Sohn, Ronald M. Summers:
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation. CoRR abs/1606.07830 (2016) - 2015
- [j37]Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao, Ronald M. Summers:
Computer-aided detection of exophytic renal lesions on non-contrast CT images. Medical Image Anal. 19(1): 15-29 (2015) - [j36]Kevin M. Cherry, Brandon Peplinski, Lauren Kim, Shijun Wang, Le Lu, Weidong Zhang, Jianfei Liu, Zhuoshi Wei, Ronald M. Summers:
Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression. Medical Image Anal. 19(1): 164-175 (2015) - [j35]Juan J. Cerrolaza, Mauricio Reyes, Ronald M. Summers, Miguel Ángel González Ballester, Marius George Linguraru:
Automatic multi-resolution shape modeling of multi-organ structures. Medical Image Anal. 25(1): 11-21 (2015) - [j34]Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion. Medical Image Anal. 25(1): 72-85 (2015) - [j33]Toshiyuki Okada, Marius George Linguraru, Masatoshi Hori, Ronald M. Summers, Noriyuki Tomiyama, Yoshinobu Sato:
Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors. Medical Image Anal. 26(1): 1-18 (2015) - [j32]Shijun Wang, Diana Li, Nicholas Petrick, Berkman Sahiner, Marius George Linguraru, Ronald M. Summers:
Optimizing area under the ROC curve using semi-supervised learning. Pattern Recognit. 48(1): 276-287 (2015) - [c145]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved text/image Deep Mining on a large-scale radiology database. CVPR 2015: 1090-1099 - [c144]Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion. IPMI 2015: 501-513 - [c143]Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers:
Anatomy-specific classification of medical images using deep convolutional nets. ISBI 2015: 101-104 - [c142]Jiamin Liu, Divya Narayanan, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers:
Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest. ISBI 2015: 1114-1117 - [c141]Kevin Michael Boehm, Shijun Wang, Karen E. Burtt, Baris Turkbey, Samuel Weisenthal, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers:
Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer. Medical Imaging: Computer-Aided Diagnosis 2015: 94140S - [c140]Joanne Hoffman, Jiamin Liu, Evrim Turkbey, Lauren Kim, Ronald M. Summers:
Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation. Medical Imaging: Computer-Aided Diagnosis 2015: 94141R - [c139]James Stieger, Joseph E. Burns, Jianhua Yao, Ronald M. Summers:
Dynamic cortex stripping for vertebra evaluation. Medical Imaging: Computer-Aided Diagnosis 2015: 94143D - [c138]Jiamin Liu, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers:
Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest. Medical Imaging: Computer-Aided Diagnosis 2015: 941413 - [c137]Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke, Ronald M. Summers, Jianhua Yao:
Myocardial strain estimation from CT: towards computer-aided diagnosis on infarction identification. Medical Imaging: Computer-Aided Diagnosis 2015: 941434 - [c136]Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald M. Summers:
Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. MICCAI (2) 2015: 53-61 - [c135]Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers:
Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT. CSI@MICCAI 2015: 74-84 - [c134]Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke, Ronald M. Summers, Jianhua Yao:
Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM. MICCAI (2) 2015: 144-151 - [c133]Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers:
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. MICCAI (1) 2015: 556-564 - [c132]Holger R. Roth, Amal Farag, Le Lu, Evrim B. Turkbey, Ronald M. Summers:
Deep convolutional networks for pancreas segmentation in CT imaging. Medical Imaging: Image Processing 2015: 94131G - [i10]Holger Roth, Amal Farag, Le Lu, Evrim B. Turkbey, Ronald M. Summers:
Deep convolutional networks for pancreas segmentation in CT imaging. CoRR abs/1504.03967 (2015) - [i9]Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers:
Anatomy-specific classification of medical images using deep convolutional nets. CoRR abs/1504.04003 (2015) - [i8]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. CoRR abs/1505.00670 (2015) - [i7]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation. CoRR abs/1505.03046 (2015) - [i6]Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling. CoRR abs/1505.06236 (2015) - [i5]Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. CoRR abs/1506.06448 (2015) - 2014
- [j31]Jiamin Liu, Sanket Pattanaik, Jianhua Yao, Evrim Turkbey, Weidong Zhang, Xiao Zhang, Ronald M. Summers:
Computer aided detection of epidural masses on computed tomography scans. Comput. Medical Imaging Graph. 38(7): 606-612 (2014) - [j30]Jianhua Yao, Joseph E. Burns, Hector Munoz, Ronald M. Summers:
Cortical shell unwrapping for vertebral body abnormality detection on computed tomography. Comput. Medical Imaging Graph. 38(7): 628-638 (2014) - [j29]Yixun Liu, Samira M. Sadowski, Allison B. Weisbrod, Electron Kebebew, Ronald M. Summers, Jianhua Yao:
Patient specific tumor growth prediction using multimodal images. Medical Image Anal. 18(3): 555-566 (2014) - [j28]Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao, Ronald M. Summers:
Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT. Medical Image Anal. 18(5): 725-739 (2014) - [c131]Jianhua Yao, Joseph E. Burns, Sasha Getty, James Stieger, Ronald M. Summers:
Automated extraction of anatomic landmarks on vertebrae based on anatomic knowledge and geometrical constraints. ISBI 2014: 397-400 - [c130]Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao, Le Lu, Evrim Turkbey, Christine Kim, Ronald M. Summers:
Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion. ISBI 2014: 1107-1110 - [c129]Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao, Weidong Zhang, Evrim B. Turkbey, Shijun Wang, Christine Kim, Ronald M. Summers:
Mediastinal lymph node detection on thoracic CT scans using spatial prior from multi-atlas label fusion. Medical Imaging: Computer-Aided Diagnosis 2014: 90350M - [c128]Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers:
Reducing false positives of small bowel segmentation on CT scans by localizing colon regions. Medical Imaging: Computer-Aided Diagnosis 2014: 90350Z - [c127]Kevin M. Cherry, Shijun Wang, Evrim B. Turkbey, Ronald M. Summers:
Abdominal lymphadenopathy detection using random forest. Medical Imaging: Computer-Aided Diagnosis 2014: 90351G - [c126]Hector E. Munoz, Jianhua Yao, Joseph E. Burns, Yasuyuki Pham, James Stieger, Ronald M. Summers:
Vertebral degenerative disc disease severity evaluation using random forest classification. Medical Imaging: Computer-Aided Diagnosis 2014: 90353A - [c125]Le Lu, Jianhua Yao, Evrim Turkbey, Ronald M. Summers:
Multilevel image recognition using discriminative patches and kernel covariance descriptor. Medical Imaging: Computer-Aided Diagnosis 2014: 903528 - [c124]Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinear Optimization. MICCAI (2) 2014: 25-32 - [c123]Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers:
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans. ABDI@MICCAI 2014: 103-113 - [c122]Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. MICCAI (1) 2014: 520-527 - [c121]Ari Seff, Le Lu, Kevin M. Cherry, Holger R. Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers:
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. MICCAI (1) 2014: 544-552 - [c120]David Allen, Le Lu, Jianhua Yao, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
Robust automated lymph node segmentation with random forests. Medical Imaging: Image Processing 2014: 90343X - [c119]Jianfei Liu, Jianhua Yao, Shijun Wang, Marius George Linguraru, Ronald M. Summers:
Locally constrained active contour: a region-based level set for ovarian cancer metastasis segmentation. Medical Imaging: Image Processing 2014: 903404 - [i4]Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations. CoRR abs/1406.2639 (2014) - [i3]Holger R. Roth, Jianhua Yao, Le Lu, James Stieger, Joseph E. Burns, Ronald M. Summers:
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications. CoRR abs/1407.5976 (2014) - [i2]Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers:
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans. CoRR abs/1407.8497 (2014) - [i1]Ari Seff, Le Lu, Kevin M. Cherry, Holger Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers:
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. CoRR abs/1408.3337 (2014) - 2013
- [j27]Xinjian Chen, Ronald M. Summers, Jianhua Yao:
Kidney Tumor Growth Prediction by Coupling Reaction-Diffusion and Biomechanical Model. IEEE Trans. Biomed. Eng. 60(1): 169-173 (2013) - [j26]Jianhua Yao, John Bliton, Ronald M. Summers:
Automatic Segmentation and Measurement of Pleural Effusions on CT. IEEE Trans. Biomed. Eng. 60(7): 1834-1840 (2013) - [j25]Weidong Zhang, Jiamin Liu, Jianhua Yao, Adeline Louie, Tan B. Nguyen, Stephen Wank, Wieslaw L. Nowinski, Ronald M. Summers:
Mesenteric Vasculature-Guided Small Bowel Segmentation on 3-D CT. IEEE Trans. Medical Imaging 32(11): 2006-2021 (2013) - [c118]Zhuoshi Wei, Weidong Zhang, Jianfei Liu, Shijun Wang, Jianhua Yao, Ronald M. Summers:
Computer-aided detection of colitis on computed tomography using a visual codebook. ISBI 2013: 141-144 - [c117]Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers:
Automatic anatomical labeling of abdominal arteries for small bowel evaluation on 3D CT scans. ISBI 2013: 210-213 - [c116]Yixun Liu, Samira M. Sadowski, Allison B. Weisbrod, Electron Kebebew, Ronald M. Summers, Jianhua Yao:
Tumor growth modeling based on dual phase CT and FDG-PET. ISBI 2013: 394-397 - [c115]Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao, Ronald M. Summers:
Augmenting tumor sensitive matching flow to improve detection and segmentation of ovarian cancer metastases within a PDE framework. ISBI 2013: 652-655 - [c114]Hector E. Muñoz, Jianhua Yao, Joseph E. Burns, Ronald M. Summers:
Detection of vertebral degenerative disc disease based on cortical shell unwrapping. Medical Imaging: Computer-Aided Diagnosis 2013: 86700C - [c113]Peter Liu, Shijun Wang, Baris Turkbey, Kinzya Grant, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood, Ronald M. Summers:
A prostate cancer computer-aided diagnosis system using multimodal magnetic resonance imaging and targeted biopsy labels. Medical Imaging: Computer-Aided Diagnosis 2013: 86701G - [c112]Jianhua Yao, Yixun Liu, Foster Chen, Ronald M. Summers, Timothy Bhattacharyya:
Computer assisted measurement of femoral cortex thickening on radiographs. Medical Imaging: Computer-Aided Diagnosis 2013: 86703C - [c111]Jianfei Liu, Marius George Linguraru, Shijun Wang, Ronald M. Summers:
Automatic segmentation of kidneys from non-contrast CT images using efficient belief propagation. Medical Imaging: Computer-Aided Diagnosis 2013: 867005 - [c110]Jianfei Liu, Shijun Wang, Marius George Linguraru, Ronald M. Summers:
Robust detection of renal calculi from non-contract CT images using TV-flow and MSER features. Medical Imaging: Computer-Aided Diagnosis 2013: 867006 - [c109]Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers:
Segmenting the thoracic, abdominal and pelvic musculature on CT scans combining atlas-based model and active contour model. Medical Imaging: Computer-Aided Diagnosis 2013: 867008 - [c108]Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao, Ronald M. Summers:
A Variational Framework for Joint Detection and Segmentation of Ovarian Cancer Metastases. MICCAI (2) 2013: 83-90 - [c107]Shijun Wang, Matthew McKenna, Zhuoshi Wei, Jiamin Liu, Peter Liu, Ronald M. Summers:
Visual Phrase Learning and Its Application in Computed Tomographic Colonography. MICCAI (1) 2013: 243-250 - [c106]Toshiyuki Okada, Marius George Linguraru, Masatoshi Hori, Ronald M. Summers, Noriyuki Tomiyama, Yoshinobu Sato:
Abdominal Multi-organ CT Segmentation Using Organ Correlation Graph and Prediction-Based Shape and Location Priors. MICCAI (3) 2013: 275-282 - [c105]Yixun Liu, Samira M. Sadowski, Allison B. Weisbrod, Electron Kebebew, Ronald M. Summers, Jianhua Yao:
Multimodal Image Driven Patient Specific Tumor Growth Modeling. MICCAI (3) 2013: 283-290 - [c104]Jianfei Liu, Shijun Wang, Jianhua Yao, Marius George Linguraru, Ronald M. Summers:
Manifold Diffusion for Exophytic Kidney Lesion Detection on Non-contrast CT Images. MICCAI (1) 2013: 340-347 - [c103]Shijun Wang, Brandon Peplinski, Le Lu, Weidong Zhang, Jianfei Liu, Zhuoshi Wei, Ronald M. Summers:
Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion. MICCAI (2) 2013: 518-525 - [c102]Yixun Liu, Songtao Liu, Albert C. Lardo, Karl H. Schuleri, Marcelo S. Nacif, David A. Bluemke, Ronald M. Summers, Jianhua Yao:
Build 4-dimensional myocardial model for dynamic CT images. Medical Imaging: Image Processing 2013: 86691Q - 2012
- [j24]Marius George Linguraru, John A. Pura, Vivek Pamulapati, Ronald M. Summers:
Statistical 4D graphs for multi-organ abdominal segmentation from multiphase CT. Medical Image Anal. 16(4): 904-914 (2012) - [j23]Shijun Wang, Ronald M. Summers:
Machine learning and radiology. Medical Image Anal. 16(5): 933-951 (2012) - [j22]Matthew McKenna, Shijun Wang, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Ronald M. Summers:
Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence. Medical Image Anal. 16(6): 1280-1292 (2012) - [j21]Jiamin Liu, Kevin W. Chang, Jianhua Yao, Ronald M. Summers:
Predicting Polyp Location on Optical Colonoscopy From CT Colonography by Minimal-Energy Curve Modeling of the Colonoscope Path. IEEE Trans. Biomed. Eng. 59(12): 3531-3540 (2012) - [j20]Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Zhuoshi Wei, Ronald M. Summers:
Matching 3-D Prone and Supine CT Colonography Scans Using Graphs. IEEE Trans. Inf. Technol. Biomed. 16(4): 676-682 (2012) - [j19]Xinjian Chen, Marcelo S. Nacif, Songtao Liu, Christopher T. Sibley, Ronald M. Summers, David A. Bluemke, Jianhua Yao:
A Framework of Whole Heart Extracellular Volume Fraction Estimation for Low-Dose Cardiac CT Images. IEEE Trans. Inf. Technol. Biomed. 16(5): 842-851 (2012) - [j18]Shijun Wang, Matthew McKenna, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers:
Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning. IEEE Trans. Medical Imaging 31(5): 1141-1153 (2012) - [j17]Marius George Linguraru, William J. Richbourg, Jianfei Liu, Jeremy M. Watt, Vivek Pamulapati, Shijun Wang, Ronald M. Summers:
Tumor Burden Analysis on Computed Tomography by Automated Liver and Tumor Segmentation. IEEE Trans. Medical Imaging 31(10): 1965-1976 (2012) - [c101]Jiaxin Huang, David A. Bluemke, Xiao Zhang, Ronald M. Summers, Les R. Folio, Jianhua Yao:
A cross-platform and distributive database system for cumulative tumor measurement. EMBC 2012: 1266-1269 - [c100]Toshiyuki Okada, Marius George Linguraru, Masatoshi Hori, Yuki Suzuki, Ronald M. Summers, Noriyuki Tomiyama, Yoshinobu Sato:
Multi-organ segmentation in abdominal CT images. EMBC 2012: 3986-3989 - [c99]Yixun Liu, Marcelo Souto Nacif, Songtao Liu, Christopher T. Sibley, David A. Bluemke, Ronald M. Summers, Jianhua Yao:
Point-guided modeling and segmentation of myocardium for low dose cardiac CT images. EMBC 2012: 5327-5330 - [c98]Shijun Wang, Matthew McKenna, Nicholas Petrick, Berkman Sahiner, Marius George Linguraru, Zhuoshi Wei, Jianhua Yao, Ronald M. Summers:
ROC-like optimization by sample ranking: Application to CT colonography. ISBI 2012: 478-481 - [c97]Zhuoshi Wei, Shijun Wang, Nicholas Petrick, Jianhua Yao, Senthil Periaswamy, Ronald M. Summers:
Supine and prone CT colonography registration by matching graphs of teniae coli. ISBI 2012: 712-715 - [c96]Weidong Zhang, Jiamin Liu, Jianhua Yao, Tan B. Nguyen, Adeline Louie, Stephen Wank, Wieslaw L. Nowinski, Ronald M. Summers:
Mesenteric vasculature-guided small bowel segmentation on high-resolution 3D CT angiography scans. ISBI 2012: 1280-1283 - [c95]Jiamin Liu, Chin-Hsiang Feng, Jeremy Hua, Jianhua Yao, Jacob M. White, Ronald M. Summers:
Automatic detection and segmentation of abdominopelvic lymph nodes on computed tomography scans. ISBI 2012: 1455-1458 - [c94]Ananda S. Chowdhury, Joseph E. Burns, Arka Mukherjee, Bhaskar Sen, Jianhua Yao, Ronald M. Summers:
Automated detection of pelvic fractures from volumetric CT images. ISBI 2012: 1687-1690 - [c93]Jianhua Yao, Joseph E. Burns, Ronald M. Summers:
Sclerotic rib metastases detection on routine CT images. ISBI 2012: 1767-1770 - [c92]Jiamin Liu, Jeremy Hua, Vivek Chellappa, Nicholas Petrick, Berkman Sahiner, Mohammed Farooqui, Gerald Marti, Adrian Wiestner, Ronald M. Summers:
Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients. Medical Imaging: Computer-Aided Diagnosis 2012: 83150B - [c91]Zhuoshi Wei, Jianhua Yao, Shijun Wang, Jiamin Liu, Ronald M. Summers:
Computer-aided marginal artery detection on computed tomographic colonography. Medical Imaging: Computer-Aided Diagnosis 2012: 83150Z - [c90]Weidong Zhang, Jiamin Liu, Jianhua Yao, Tan Nguyen, Adeline Louie, Stephen Wank, Ronald M. Summers:
Computer-aided mesenteric small vessel segmentation on high-resolution 3D contrast-enhanced CT angiography scans. Medical Imaging: Computer-Aided Diagnosis 2012: 83151T - [c89]Matthew T. McKenna, Shijun Wang, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Berkman Sahiner, Ronald M. Summers:
Computer vision approach to detect colonic polyps in computed tomographic colonography. Medical Imaging: Computer-Aided Diagnosis 2012: 83151S - [c88]Jianhua Yao, Joseph E. Burns, Tatjana Wiese, Ronald M. Summers:
Quantitative vertebral compression fracture evaluation using a height compass. Medical Imaging: Computer-Aided Diagnosis 2012: 83151X - [c87]Tatjana Wiese, Jianhua Yao, Joseph E. Burns, Ronald M. Summers:
Detection of sclerotic bone metastases in the spine using watershed algorithm and graph cut. Medical Imaging: Computer-Aided Diagnosis 2012: 831512 - [c86]Jianfei Liu, Shijun Wang, Marius George Linguraru, Ronald M. Summers:
Tumor Sensitive Matching Flow: An Approach for Ovarian Cancer Metastasis Detection and Segmentation. Abdominal Imaging 2012: 188-197 - [c85]Jianhua Yao, Joseph E. Burns, Hector Munoz, Ronald M. Summers:
Detection of Vertebral Body Fractures Based on Cortical Shell Unwrapping. MICCAI (3) 2012: 509-516 - [c84]Shijun Wang, Peter Liu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers:
Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images. MICCAI (3) 2012: 582-589 - [c83]Xinjian Chen, Ronald M. Summers, Marcelo S. Nacif, Songtao Liu, David A. Bluemke, Jianhua Yao:
A framework of whole heart extracellular volume fraction estimation for low dose cardiac CT images. Medical Imaging: Image Processing 2012: 831429 - 2011
- [j16]Xinjian Chen, Ronald M. Summers, Jianhua Yao:
FEM-Based 3-D Tumor Growth Prediction for Kidney Tumor. IEEE Trans. Biomed. Eng. 58(3): 463-467 (2011) - [c82]Jessica S. Faruque, Daniel L. Rubin, Christopher F. Beaulieu, Jarrett Rosenberg, Aya Kamaya, Grace Tye, Sandy Napel, Ronald M. Summers:
A Scalable Reference Standard of Visual Similarity for a Content-Based Image Retrieval System. HISB 2011: 158-165 - [c81]Ananda S. Chowdhury, Joseph E. Burns, Bhaskar Sen, Arka Mukherjee, Jianhua Yao, Ronald M. Summers:
Detection of pelvic fractures using graph cuts and curvatures. ICIP 2011: 1573-1576 - [c80]Tatjana Wiese, Joseph E. Burns, Jianhua Yao, Ronald M. Summers:
Computer-aided detection of sclerotic bone metastases in the spine using watershed algorithm and support vector machines. ISBI 2011: 152-155 - [c79]Shijun Wang, Vishal Anugu, Tan B. Nguyen, Natalie Rose, Joseph E. Burns, Matthew McKenna, Nicholas Petrick, Ronald M. Summers:
Fusion of machine intelligence and human intelligence for colonic polyp detection in CT colonography. ISBI 2011: 160-164 - [c78]John Bliton, Jianhua Yao, Mark Bi, Ronald M. Summers:
Improved 3D automatic segmentation and measurement of pleural effusions. ISBI 2011: 1954-1957 - [c77]Xiaofeng Liu, Marius George Linguraru, Jianhua Yao, Ronald M. Summers:
Abdominal multi-organ localization on contrast-enhanced CT based on maximum a posteriori probability and minimum volume overlap. ISBI 2011: 2083-2086 - [c76]Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Ronald M. Summers:
3D supine and prone colon registration for computed tomographic colonography scans based on graph matching. Medical Imaging: Computer-Aided Diagnosis 2011: 79631F - [c75]Zhuoshi Wei, Jianhua Yao, Shijun Wang, Ronald M. Summers:
Computer-aided teniae coli detection using height maps from computed tomographic colonography images. Medical Imaging: Computer-Aided Diagnosis 2011: 79631G - [c74]Javed M. Aman, Jianhua Yao, Ronald M. Summers:
Automatic colonic polyp shape determination using content-based image retrieval. Medical Imaging: Computer-Aided Diagnosis 2011: 79632G - [c73]Jianhua Yao, Andrew J. Dwyer, Ronald M. Summers, Daniel J. Mollura:
Computer-aided assessment of pulmonary disease in novel swine-origin H1N1 influenza on CT. Medical Imaging: Computer-Aided Diagnosis 2011: 79632W - [c72]Jiamin Liu, Jeremy Hua, Jianhua Yao, Jacob M. White, Ronald M. Summers:
Computer-aided abdominal lymph node detection using contrast-enhanced CT images. Medical Imaging: Computer-Aided Diagnosis 2011: 796313 - [c71]Neil Panjwani, Marius George Linguraru, Joel G. Fletcher, Ronald M. Summers:
Computer-Aided Polyp Detection for Laxative-Free CT Colonography. Abdominal Imaging 2011: 18-26 - [c70]Toshiyuki Okada, Marius George Linguraru, Yasuhide Yoshida, Masatoshi Hori, Ronald M. Summers, Yen-Wei Chen, Noriyuki Tomiyama, Yoshinobu Sato:
Abdominal Multi-Organ Segmentation of CT Images Based on Hierarchical Spatial Modeling of Organ Interrelations. Abdominal Imaging 2011: 173-180 - [c69]Marius George Linguraru, William J. Richbourg, Jeremy M. Watt, Vivek Pamulapati, Ronald M. Summers:
Liver and Tumor Segmentation and Analysis from CT of Diseased Patients via a Generic Affine Invariant Shape Parameterization and Graph Cuts. Abdominal Imaging 2011: 198-206 - [c68]Miyuki Suzuki, Marius George Linguraru, Ronald M. Summers, Kazunori Okada:
Analyses of Missing Organs in Abdominal Multi-Organ Segmentation. Abdominal Imaging 2011: 256-263 - [c67]Xinjian Chen, Ronald M. Summers, Jianhua Yao:
Automatic 3D kidney segmentation based on shape constrained GC-OAAM. Medical Imaging: Image Processing 2011: 79623M - [e2]Ronald M. Summers, Bram van Ginneken:
Medical Imaging 2011: Computer-Aided Diagnosis, Lake Buena Vista (Orlando), Florida, United States, 12-17 February 2011. SPIE Proceedings 7963, SPIE 2011, ISBN 9780819485052 [contents] - 2010
- [j15]Shijun Wang, Jianhua Yao, Nicholas Petrick, Ronald M. Summers:
Combining Statistical and Geometric Features for Colonic Polyp Detection in Ctc Based on Multiple Kernel Learning. Int. J. Comput. Intell. Appl. 9(1): 1-15 (2010) - [j14]Ananda S. Chowdhury, Sovira Tan, Jianhua Yao, Ronald M. Summers:
Colonic fold detection from computed tomographic colonography images using diffusion-FCM and level sets. Pattern Recognit. Lett. 31(9): 876-883 (2010) - [j13]Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara:
Improving polyp detection algorithms for CT colonography: Pareto front approach. Pattern Recognit. Lett. 31(11): 1461-1469 (2010) - [j12]Jianhua Yao, Ananda S. Chowdhury, Javed M. Aman, Ronald M. Summers:
Reversible Projection Technique for Colon Unfolding. IEEE Trans. Biomed. Eng. 57(12): 2861-2869 (2010) - [c66]Jiamin Liu, Jacob M. White, Ronald M. Summers:
Automated detection of blob structures by Hessian analysis and object scale. ICIP 2010: 841-844 - [c65]Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Ronald M. Summers:
Graph matching based on mean field theory. ICIP 2010: 1893-1896 - [c64]Kevin W. Chang, Jiamin Liu, Jianhua Yao, Ronald M. Summers:
Improved method for predicting polyp location from CT colonography for optical colonoscopy. ICIP 2010: 4365-4368 - [c63]Ronald M. Summers:
Current concepts in computer-aided detection for CT colonography. ISBI 2010: 269-272 - [c62]Daniel Lewis Sussman, Jianhua Yao, Ronald M. Summers:
Automated measurement and segmentation of abdominal adipose tissue in MRI. ISBI 2010: 936-939 - [c61]Javed M. Aman, Jianhua Yao, Ronald M. Summers:
Content-based image retrieval on CT colonography using rotation and scale invariant features and bag-of-words model. ISBI 2010: 1357-1360 - [c60]Xinjian Chen, Ronald M. Summers, Jianhua Yao:
FEM Based 3D Tumor Growth Prediction for Kidney Tumor. MIAR 2010: 159-168 - [c59]Xiaofeng Liu, Marius George Linguraru, Jianhua Yao, Ronald M. Summers:
Organ Pose Distribution Model and an MAP Framework for Automated Abdominal Multi-organ Localization. MIAR 2010: 393-402 - [c58]Javed M. Aman, Jianhua Yao, Ronald M. Summers:
Prediction of polyp histology on CT colonography using content-based image retrieval. Medical Imaging: Computer-Aided Diagnosis 2010: 76240D - [c57]Jiamin Liu, Jacob M. White, Ronald M. Summers:
Computer-aided lymph node detection in abdominal CT images. Medical Imaging: Computer-Aided Diagnosis 2010: 76240U - [c56]Shijun Wang, Jianhua Yao, Nicholas Petrick, Ronald M. Summers:
Matching colonic polyps using correlation optimized warping. Medical Imaging: Computer-Aided Diagnosis 2010: 76240E - [c55]Javed M. Aman, Ronald M. Summers, Jianhua Yao:
Characterizing Colonic Detections in CT Colonography Using Curvature-Based Feature Descriptor and Bag-of-Words Model. Virtual Colonoscopy and Abdominal Imaging 2010: 15-23 - [c54]Marius George Linguraru, John A. Pura, Ananda S. Chowdhury, Ronald M. Summers:
Multi-organ Segmentation from Multi-phase Abdominal CT via 4D Graphs Using Enhancement, Shape and Location Optimization. MICCAI (3) 2010: 89-96 - [c53]Zhuoshi Wei, Jianhua Yao, Shijun Wang, Ronald M. Summers:
Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images. Virtual Colonoscopy and Abdominal Imaging 2010: 98-104 - [c52]Jianhua Yao, Ananda S. Chowdhury, Ronald M. Summers:
Realistic colon simulation in CT colonography using mesh skinning. Medical Imaging: Image-Guided Procedures 2010: 76252J - [c51]Daniel Lewis Sussman, Jianhua Yao, Ronald M. Summers:
Automated fat measurement and segmentation with intensity inhomogeneity correction. Medical Imaging: Image Processing 2010: 76233X - [e1]Nico Karssemeijer, Ronald M. Summers:
Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, California, United States, 13-18 February 2010. SPIE Proceedings 7624, SPIE 2010, ISBN 9780819480255 [contents]
2000 – 2009
- 2009
- [j11]Jianhua Yao, Jiang Li, Ronald M. Summers:
Employing topographical height map in colonic polyp measurement and false positive reduction. Pattern Recognit. 42(6): 1029-1040 (2009) - [j10]Marius George Linguraru, Jianhua Yao, Rabindra Gautam, James Peterson, Zhixi Li, W. Marston Linehan, Ronald M. Summers:
Renal tumor quantification and classification in contrast-enhanced abdominal CT. Pattern Recognit. 42(6): 1149-1161 (2009) - [c50]Shijun Wang, Ronald M. Summers, Changshui Zhang:
A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography. IJCNN 2009: 3251-3258 - [c49]Jianhua Yao, Wei Han, Ronald M. Summers:
Computer Aided Evaluation of Pleural Effusion Using Chest CT Images. ISBI 2009: 241-244 - [c48]Mauricio Reyes, Miguel Ángel González Ballester, Zhixi Li, Nina Kozic, See Chin, Ronald M. Summers, Marius George Linguraru:
Anatomical Variability of Organs Via Principal Factor Analysis from the Construction of an Abdominal Probabilistic Atlas. ISBI 2009: 682-685 - [c47]Javed M. Aman, Jianhua Yao, Ronald M. Summers:
Reducing the False Positive Rate of Computer Aided Detection for CT Colonography Using Content Based Image Retrieval. ISBI 2009: 915-918 - [c46]Shijun Wang, Jianhua Yao, Jiamin Liu, Nicholas Petrick, Ronald M. Summers:
Centerline Registration of Prone and Supine CT Colonography Scans Based on Correlation Optimized Warping and Anatomical Landmarks. ISBI 2009: 955-958 - [c45]Marius George Linguraru, Rabindra Gautam, James Peterson, Jianhua Yao, W. Marston Linehan, Ronald M. Summers:
Renal Tumor Quantification and Classification in Triple-Phase Contrast-Enhanced Abdominal CT. ISBI 2009: 1310-1313 - [c44]Jiamin Liu, Shijun Wang, Suraj Kabadi, Ronald M. Summers:
High-performance computer aided detection system for polyp detection in CT colonography with fluid and fecal tagging. Medical Imaging: Computer-Aided Diagnosis 2009: 72601B - [c43]Ananda S. Chowdhury, Sovira Tan, Jianhua Yao, Marius George Linguraru, Ronald M. Summers:
Two methods of Haustral fold detection from computed tomographic virtual colonoscopy images. Medical Imaging: Computer-Aided Diagnosis 2009: 72602U - [c42]Shijun Wang, Jianhua Yao, Nicholas A. Petrick, Ronald M. Summers:
Combining heterogeneous features for colonic polyp detection in CTC based on semi-definite programming. Medical Imaging: Computer-Aided Diagnosis 2009: 72602R - [c41]Jianhua Yao, Ronald M. Summers:
Statistical Location Model for Abdominal Organ Localization. MICCAI (1) 2009: 9-17 - [c40]Marius George Linguraru, Jesse K. Sandberg, Zhixi Li, John A. Pura, Ronald M. Summers:
Atlas-Based Automated Segmentation of Spleen and Liver Using Adaptive Enhancement Estimation. MICCAI (1) 2009: 1001-1008 - [c39]Jianhua Yao, Ronald M. Summers:
Employing anatomical knowledge in vertebral column labeling. Medical Imaging: Image Processing 2009: 72593Y - 2008
- [j9]Sovira Tan, Jianhua Yao, Michael M. Ward, Lawrence Yao, Ronald M. Summers:
Computer Aided Evaluation of Ankylosing Spondylitis Using High-Resolution CT. IEEE Trans. Medical Imaging 27(9): 1252-1267 (2008) - [c38]Ananda S. Chowdhury, Jianhua Yao, Robert L. Van Uitert Jr., Marius George Linguraru, Ronald M. Summers:
Detection of anatomical landmarks in human colon from computed tomographic colonography images. ICPR 2008: 1-4 - [c37]Shijun Wang, Jianhua Yao, Ronald M. Summers:
Matching colonic polyps from prone and supine CT colonography scans based on statistical curvature information. ICPR 2008: 1-4 - [c36]Marius George Linguraru, Ronald M. Summers:
Multi-organ automatic segmentation in 4D contrast-enhanced abdominal CT. ISBI 2008: 45-48 - [c35]Shijun Wang, Robert L. Van Uitert Jr., Ronald M. Summers:
Automated matching of supine and prone colonic polyps based on PCA and SVMs. Medical Imaging: Computer-Aided Diagnosis 2008: 69150B - [c34]Shijun Wang, Jianhua Yao, Ronald M. Summers:
DMLLE: a large-scale dimensionality reduction method for detection of polyps in CT colonography. Medical Imaging: Computer-Aided Diagnosis 2008: 69150C - [c33]Sovira Tan, Jianhua Yao, Lawrence Yao, Ronald M. Summers, Michael M. Ward:
Acetabular rim and surface segmentation for hip surgery planning and dysplasia evaluation. Medical Imaging: Image-Guided Procedures 2008: 69181N - [c32]Sovira Tan, Jianhua Yao, Lawrence Yao, Ronald M. Summers, Michael M. Ward:
Vertebral surface registration using ridgelines/crestlines. Medical Imaging: Image Processing 2008: 69140H - 2007
- [j8]Robert L. Van Uitert Jr., Ronald M. Summers:
Automatic Correction of Level Set Based Subvoxel Precise Centerlines for Virtual Colonoscopy Using the Colon Outer Wall. IEEE Trans. Medical Imaging 26(8): 1069-1078 (2007) - [c31]Jianhua Yao, Jiang Li, Ronald M. Summers:
CT Colonography Computer-Aided Polyp Detection using Topographical Height Map. ICIP (5) 2007: 21-24 - [c30]Ronald M. Summers:
Current Concepts in Computer-Aided Detection for Ct Colonography. ISBI 2007: 496-499 - [c29]Jianhua Yao, Stacy D. O'Connor, Ronald M. Summers:
Computer Aided Detection of Lytic Bone Metastases in the Spine Using Routine CT Images. ISBI 2007: 512-515 - [c28]Sovira Tan, Jianhua Yao, Michael M. Ward, Lawrence Yao, Ronald M. Summers:
3D Multi-Scale Level Set Segmentation of Vertebrae. ISBI 2007: 896-899 - [c27]Jianhua Yao, Ronald M. Summers:
Detection and Segmentation of Colonic Polyps on Haustral Folds. ISBI 2007: 900-903 - [c26]Robert L. Van Uitert Jr., Jiang Li, Ronald M. Summers:
Computer-Aided Detection of Colonic Diverticular Disease. ISBI 2007: 1244-1247 - [c25]Julien Lamy, Ronald M. Summers:
Teniæ Coli Detection from Colon Surface: Extraction of Anatomical Markers for Virtual Colonoscopy. ISVC (1) 2007: 199-207 - [c24]Julien Lamy, Ronald M. Summers:
Intra-patient colon surface registration based on tæniæ coli. Medical Imaging: Computer-Aided Diagnosis 2007: 65140C - [c23]Jiang Li, Adam Huang, Nicholas Petrick, Jianhua Yao, Ronald M. Summers:
Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography. Medical Imaging: Computer-Aided Diagnosis 2007: 65142G - [c22]Jianhua Yao, Jiang Li, Ronald M. Summers:
Collaborative classifiers in CT colonography CAD. Medical Imaging: Computer-Aided Diagnosis 2007: 65142H - [c21]Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara:
Using Pareto fronts to evaluate polyp detection algorithms for CT colonography. Medical Imaging: Computer-Aided Diagnosis 2007: 651407 - [c20]Sovira Tan, Jianhua Yao, Michael M. Ward, Lawrence Yao, Ronald M. Summers:
Level sets on non-planar manifolds for ridge detection on isosurfaces. Medical Imaging: Image Processing 2007: 651230 - 2006
- [j7]Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas Petrick, Michael T. Manry, Amy K. Hara:
An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection. Int. J. Artif. Intell. Tools 15(6): 893-916 (2006) - [j6]Ingmar Bitter, Robert L. Van Uitert Jr., Ivo Wolf, Efstathia Tzatha, Ahmed M. Gharib, Ronald M. Summers, Hans-Peter Meinzer, Roderic I. Pettigrew:
Virtual Contrast for Coronary Vessels Based on Level Set Generated Subvoxel Accurate Centerlines. Int. J. Biomed. Imaging 2006: 94025:1-94025:8 (2006) - [j5]Marek Franaszek, Ronald M. Summers, Perry J. Pickhardt, J. Richard Choi:
Hybrid segmentation of colon filled with air and opacified fluid for CT colonography. IEEE Trans. Medical Imaging 25(3): 358-368 (2006) - [c19]Marek Franaszek, Ronald M. Summers:
Asymmetric Affinity in Fuzzy Connectedness Segmentation for Oral Contrast-Enhances CT Colonography. CBMS 2006: 419-423 - [c18]Robert L. Van Uitert Jr., Ingmar Bitter, Ronald M. Summers:
Detection of Colon Wall Outer Boundary and Segmentation of the Colon Wall Based on Level Set Methods. EMBC 2006: 3017-3020 - [c17]Robert L. Van Uitert Jr., Ingmar Bitter, Marek Franaszek, Ronald M. Summers:
Automatic correction of level set based subvoxel accurate centerlines for virtual colonoscopy. ISBI 2006: 303-306 - [c16]Sovira Tan, Jianhua Yao, Michael M. Ward, Lawrence Yao, Ronald M. Summers:
Computer aided evaluation of ankylosing spondylitis. ISBI 2006: 339-342 - [c15]Jianhua Yao, Stacy D. O'Connor, Ronald M. Summers:
Automated spinal column extraction and partitioning. ISBI 2006: 390-393 - [c14]Jiang Li, Marek Franaszek, Nicholas Petrick, Jianhua Yao, Adam Huang, Ronald M. Summers:
Wavelet method for CT colonography computer-aided polyp detection. ISBI 2006: 1316-1319 - [c13]Jiang Li, Adam Huang, Jianhua Yao, Ingmar Bitter, Nicholas Petrick, Ronald M. Summers, Perry J. Pickhardt, J. Richard Choi:
Automatic colonic polyp detection using multi-objective evolutionary techniques. Medical Imaging: Image Processing 2006: 61445E - [c12]Jiang Li, Jianhua Yao, Nicholas Petrick, Ronald M. Summers, Amy K. Hara:
Hybrid committee classifier for a computerized colonic polyp detection system. Medical Imaging: Image Processing 2006: 61445A - [c11]Sovira Tan, Jianhua Yao, Michael M. Ward, Lawrence Yao, Ronald M. Summers:
Level set based vertebra segmentation for the evaluation of Ankylosing Spondylitis. Medical Imaging: Image Processing 2006: 614407 - [c10]Jianhua Yao, Stacy D. O'Connor, Ronald M. Summers:
Computer aided lytic bone metastasis detection using regular CT images. Medical Imaging: Image Processing 2006: 614459 - 2005
- [c9]Jiang Li, Jianhua Yao, Ronald M. Summers, Amy K. Hara:
An Efficient Feature Selection Algorithm for Computer-Aided Polyp Detection. FLAIRS 2005: 381-386 - [c8]Adam Huang, Dave Roy, Marek Franaszek, Ronald M. Summers:
Teniae Coli Guided Navigation and Registration for Virtual Colonoscopy. IEEE Visualization 2005: 279-285 - 2004
- [j4]Juan R. Cebral, Ronald M. Summers:
Tracheal and central bronchial aerodynamics using virtual bronchoscopy and computational fluid dynamics. IEEE Trans. Medical Imaging 23(8): 1021-1033 (2004) - [j3]Jerome Zhengrong Liang, William E. Higgins, Ronald M. Summers, Hiro Yoshida:
Introduction to the special section on virtual endoscopy. IEEE Trans. Medical Imaging 23(11): 1333-1334 (2004) - [j2]Jianhua Yao, Meghan Miller, Marek Franaszek, Ronald M. Summers:
Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models. IEEE Trans. Medical Imaging 23(11): 1344-1352 (2004) - [c7]Shannon R. Campbell, Ronald M. Summers:
Analysis of kernel method for surface curvature estimation. CARS 2004: 999-1003 - 2003
- [c6]Anna K. Jerebko, James D. Malley, Marek Franaszek, Ronald M. Summers:
Computer aided polyp detection in CT colonography using an ensemble of support vector machines. CARS 2003: 1019-1024 - 2002
- [c5]Anna K. Jerebko, James D. Malley, Marek Franaszek, Ronald M. Summers:
Multi network classification scheme for detection of colonic polyps in CT colonography data sets. ISBI 2002: 197-200 - 2001
- [c4]Ronald M. Summers, Anna K. Jerebko, Marek Franaszek, James D. Malley:
An integrated system for computer-aided diagnosis in CT colonography: work in progress. CARS 2001: 669-675 - [c3]Ronald M. Summers, Cecily M. L. Agcaoili, Matthew J. McAuliffe, Sarang S. Dalal, Peter J. Yim, Peter L. Choyke, McClellan M. Walther, W. Marston Linehan:
Helical CT of von Hippel-Lindau: semi-automated segmentation of renal lesions. ICIP (2) 2001: 293-296 - [c2]Ronald M. Summers, R. Mullick, S. E. Finkelstein, D. S. Schrump:
Confocal volume rendering of the thorax. ICIP (2) 2001: 297-299 - 2000
- [j1]Peter J. Yim, Peter L. Choyke, Ronald M. Summers:
Grey-Scale Skeletonization of Small Vessels in Magnetic Resonance Angiography. IEEE Trans. Medical Imaging 19(6): 568-576 (2000)
1990 – 1999
- 1998
- [c1]Ronald M. Summers, Lynne M. Pusanik, James D. Malley:
Automatic detection of endobronchial lesions using virtual bronchoscopy: comparison of two methods. Medical Imaging: Image Processing 1998
Coauthor Index
Nathan Lay
aka: Nathan S. Lay
aka: Nathan S. Lay
[c201] [c199] [c197] [i51] [c188] [c184] [j48] [c175] [c171] [p4] [p2] [j39] [c161] [c157] [c153] [c142] [c140] [c138] [c133] [i7] [i6] [i5] [j31] [c130] [c129] [c128] [c123] [c122] [c121] [c120] [i4] [i2] [i1] [j25] [c117] [c109] [c107] [j21] [c96] [c95] [c92] [c91] [c90] [c72] [c66] [c64] [c57] [c46] [c44]
[j54] [p10] [p9] [p8] [p7] [i50] [j53] [j52] [j51] [j50] [c191] [c190] [c189] [c188] [c187] [c186] [c184] [c183] [c182] [c181] [c178] [i39] [i38] [i37] [i36] [i35] [i34] [i31] [i30] [i29] [j48] [j47] [c177] [c176] [c175] [c174] [c172] [c171] [c168] [c167] [c165] [c164] [p6] [p4] [p3] [p2] [p1] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [j41] [j39] [j38] [c163] [c161] [c159] [c158] [c157] [c152] [c150] [c149] [c147] [c146] [i16] [i14] [i13] [i12] [i11] [j36] [c145] [c143] [c142] [c138] [c136] [c133] [c132] [i10] [i9] [i8] [i7] [i6] [i5] [c130] [c125] [c123] [c122] [c121] [c120] [i4] [i3] [i2] [i1] [c103]
Nicholas Petrick
aka: Nicholas A. Petrick
aka: Nicholas A. Petrick
Holger Roth
aka: Holger R. Roth
aka: Holger R. Roth
Evrim Turkbey
aka: Evrim B. Turkbey
aka: Evrim B. Turkbey
[j54] [c201] [c197] [p10] [i50] [j50] [c187] [c186] [c185] [i38] [i37] [i36] [i34] [j47] [j46] [c175] [c174] [c171] [c170] [c168] [c166] [c164] [p4] [p3] [p1] [i27] [i24] [j45] [j44] [j43] [j42] [j41] [j39] [j38] [c163] [c162] [c160] [c158] [c156] [c155] [c153] [c148] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [j37] [j34] [c145] [c144] [c143] [c142] [c139] [c138] [c137] [c135] [c134] [i9] [i8] [i7] [j31] [j30] [j29] [j28] [c131] [c130] [c129] [c128] [c126] [c125] [c124] [c120] [c119] [i3] [j27] [j26] [j25] [c118] [c117] [c116] [c115] [c114] [c112] [c109] [c108] [c105] [c104] [c102] [j21] [j19] [c101] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c91] [c90] [c88] [c87] [c85] [c83] [j16] [c81] [c80] [c78] [c77] [c75] [c74] [c73] [c72] [c67] [j15] [j14] [j12] [c64] [c62] [c61] [c60] [c59] [c58] [c56] [c55] [c53] [c52] [c51] [j11] [j10] [c49] [c47] [c46] [c45] [c43] [c42] [c41] [c39] [j9] [c38] [c37] [c34] [c33] [c32] [c31] [c29] [c28] [c27] [c23] [c22] [c20] [j7] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [j2]
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