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ORCIDRichard K. G. Do
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2020 – today
- 2024
[j3]Christopher Wiedeman, Peter Lorraine, Ge Wang
, Richard K. G. Do, Amber L. Simpson, Jacob J. Peoples, Bruno De Man:
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction. Vis. Comput. Ind. Biomed. Art 7(1): 13 (2024)- [i6]Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - 2023
- [j2]Abhishek Midya, Jayasree Chakraborty, Rami Srouji, Raja R. Narayan, Thomas Börner, Jian Zheng, Linda M. Pak, John M. Creasy, Luz A. Escobar, Kate A. Harrington, Mithat Gönen, Michael I. D'Angelica, T. Peter Kingham, Richard K. G. Do, William R. Jarnagin, Amber L. Simpson:
Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach. IEEE J. Biomed. Health Informatics 27(5): 2456-2464 (2023) - [c13]Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do:
Parameter-Efficient Methods for Metastases Detection fromClinical Notes. Canadian AI 2023 - [c12]Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c11]Jacob J. Peoples, Mohammad Hamghalam, Imani James, Maida Wasim, Natalie Gangai, HyunSeon Christine Kang, Xiujiang John Rong, Yun Shin Chun, Richard K. G. Do, Amber L. Simpson:
Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases. UNSURE@MICCAI 2023: 42-52 - [c10]Ramtin Mojtahedi, Mohammad Hamghalam, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson:
Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 311-321 - [i5]Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases. CoRR abs/2308.15932 (2023) - [i4]Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation. CoRR abs/2308.16598 (2023) - [i3]Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do:
Parameter-Efficient Methods for Metastases Detection from Clinical Notes. CoRR abs/2310.18472 (2023) - 2022
- [j1]Karen E. Batch, Jianwei Yue, Alex Darcovich, Kaelan Lupton, Corinne C. Liu, David P. Woodlock, Mohammad Ali K. El Amine, Pamela I. Causa-Andrieu, Lior Gazit, Gary H. Nguyen, Farhana H. Zulkernine, Richard K. G. Do, Amber L. Simpson:
Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports. Frontiers Artif. Intell. 5: 826402 (2022) - [c9]Jayasree Chakraborty, Joshua S. Jolissaint, Tiegong Wang, Kevin C. Soares, Mithat Gonen, Linda M. Pak, Thomas Börner, Richard K. G. Do, Vinod P. Balachandran, Michael I. D'Angelica, Jeffrey A. Drebin, T. Peter Kingham, Alice C. Wei, William R. Jarnagin:
CT radiomics to predict early hepatic recurrence after resection for intrahepatic cholangiocarcinoma. Medical Imaging: Computer-Aided Diagnosis 2022 - [c8]Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation. MMMI@MICCAI 2022: 110-120 - 2021
- [i2]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) - 2020
- [c7]Travis L. Williams, Kate A. Harrington, Sharon A. Lawrence, Jayasree Chakraborty, Mohammad A. Al Efishat, Marc A. Attiyeh, Gokce Askan, Yuting Chou, Alessandra Pulvirenti, Caitlin A. McIntyre, Mithat Gonen, Olca Basturk, Vinod P. Balachandran, T. Peter Kingham, Michael I. D'Angelica, William R. Jarnagin, Jeffrey A. Drebin, Richard K. G. Do, Peter J. Allen, Amber L. Simpson:
A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions. Medical Imaging: Image-Guided Procedures 2020: 113151Q
2010 – 2019
- 2019
- [i1]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) - 2018
- [c6]Jayasree Chakraborty, Alessandra Pulvirenti, Rikiya Yamashita, Abhishek Midya, Mithat Gönen, David S. Klimstra, Diane L. Reidy, Peter J. Allen, Richard K. G. Do, Amber L. Simpson:
Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors. Medical Imaging: Computer-Aided Diagnosis 2018: 105751N - [c5]Abhishek Midya, Jayasree Chakraborty, Linda M. Pak, Jian Zheng, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson:
Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. Medical Imaging: Computer-Aided Diagnosis 2018: 1057528 - 2017
- [c4]Lior Gazit, Jayasree Chakraborty, Marc A. Attiyeh, Liana Langdon-Embry, Peter J. Allen, Richard K. G. Do, Amber L. Simpson:
Quantification of CT images for the classification of high- and low-risk pancreatic cysts. Medical Imaging: Computer-Aided Diagnosis 2017: 101340X - [c3]Jayasree Chakraborty, Jian Zheng, Mithat Gönen, William R. Jarnagin, Ronald P. DeMatteo, Richard K. G. Do, Amber L. Simpson:
Preoperative assessment of microvascular invasion in hepatocellular carcinoma. Medical Imaging: Computer-Aided Diagnosis 2017: 1013410 - 2016
- [c2]Jayasree Chakraborty, Liana Langdon-Embry, Joanna G. Escalon, Peter J. Allen, Maeve A. Lowery, Eileen M. O'Reilly, Richard K. G. Do, Amber L. Simpson:
Texture analysis for survival prediction of pancreatic ductal adenocarcinoma patients with neoadjuvant chemotherapy. Medical Imaging: Image Processing 2016: 97841W - 2014
- [c1]Amber L. Simpson, Richard K. G. Do, E. Patricia Parada, Michael I. Miga, William R. Jarnagin:
Texture feature analysis for prediction of postoperative liver failure prior to surgery. Medical Imaging: Image Processing 2014: 903414
Coauthor Index
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