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2020 – today
- 2024
[c31]Karl-Philippe Beaudet, Alexandros Karargyris
, Sidaty El Hadramy, Stéphane Cotin, Jean-Paul Mazellier, Nicolas Padoy, Juan Verde:
Towards Real-Time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery. MICCAI (6) 2024: 649-659- [i22]Spyridon Bakas, Siddhesh P. Thakur, Shahriar Faghani, Mana Moassefi, Ujjwal Baid, Verena Chung, Sarthak Pati, Shubham Innani, Bhakti Baheti, Jake Albrecht, Alexandros Karargyris, Hasan Kassem, MacLean P. Nasrallah, Jared T. Ahrendsen, Valeria Barresi, Maria A. Gubbiotti, Giselle Y. López, Calixto-Hope G. Lucas, Michael L. Miller, Lee A. D. Cooper, Jason T. Huse, William R. Bell:
BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions. CoRR abs/2405.10871 (2024) - [i21]Dominic LaBella, Katherine Schumacher, Michael Mix, Kevin Leu, Shan McBurney-Lin, Pierre Nedelec, Javier E. Villanueva-Meyer, Jonathan Shapey, Tom Vercauteren, Kazumi Chia, Omar Al-Salihi, Justin Leu, Lia Halasz, Yury Velichko, Chunhao Wang, John Kirkpatrick, Scott Floyd, Zachary J. Reitman, Trey Mullikin, Ulas Bagci, Sean Sachdev, Jona A. Hattangadi-Gluth, Tyler M. Seibert, Nikdokht Farid, Connor Puett, Matthew W. Pease, Kevin Shiue, Syed Muhammad Anwar, Shahriar Faghani, Muhammad Ammar Haider, Pranav I. Warman, Jake Albrecht, András Jakab, Mana Moassefi, Verena Chung, Alejandro Aristizabal, Alexandros Karargyris, Hasan Kassem, Sarthak Pati, Micah J. Sheller, Christina Huang, Aaron Coley, Siddharth Ghanta, Alex Schneider, Conrad Sharp, Rachit Saluja, Florian Kofler, Philipp Lohmann, Philipp Vollmuth, Louis Gagnon, Maruf Adewole, Hongwei Bran Li, Anahita Fathi Kazerooni, Nourel Hoda Tahon, Udunna Anazodo, Ahmed W. Moawad, Bjoern H. Menze, Marius George Linguraru, Mariam Aboian, Benedikt Wiestler, Ujjwal Baid, Gian Marco Conte, Andreas M. Rauschecker, Ayman Nada, Aly H. Abayazeed, Raymond Y. Huang, Maria Correia de Verdier, Jeffrey D. Rudie, Spyridon Bakas, Evan Calabrese:
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. CoRR abs/2405.18383 (2024) - [i20]Idris Hamoud, Alexandros Karargyris, Aidean Sharghi, Omid Mohareri, Nicolas Padoy:
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness. CoRR abs/2407.05448 (2024) - [i19]Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, Debanjan Haldar, Zhifan Jiang, Anna Zapaishchykova, Julija Pavaine, Lubdha M. Shah, Blaise V. Jones, Nakul Sheth, Sanjay P. Prabhu, Aaron S. McAllister, Wenxin Tu, Khanak K. Nandolia, Andres Felipe Rodriguez, Ibraheem Salman Shaikh, Mariana Sanchez-Montano, Hollie Anne Lai, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Hannah Anderson, Syed Muhammed Anwar, Alejandro Aristizabal, Sina Bagheri, Ujjwal Baid, Timothy Bergquist, Austin J. Borja, Evan Calabrese, Verena Chung, Gian Marco Conte, James A. Eddy, Ivan Ezhov, Ariana M. Familiar, Keyvan Farahani, Deep Gandhi, Anurag Gottipati, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Elaine, Alexandros Karargyris, Hasan Kassem, Neda Khalili, Florian Kofler, Dominic LaBella, Koen Van Leemput, Hongwei Li, Nazanin Maleki, Zeke Meier, Bjoern H. Menze, Ahmed W. Moawad, Sarthak Pati, Marie Piraud, Tina Poussaint, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Micah J. Sheller, Russell Takeshi Shinohara, Karthik Viswanathan, Chunhao Wang, Benedikt Wiestler, Walter F. Wiggins, Christos Davatzikos, Phillip B. Storm, Miriam Bornhorst, Roger J. Packer, Trent Hummel, Peter de Blank, Lindsey Hoffman, Mariam Aboian, Ali Nabavizadeh, Jeffrey B. Ware, Benjamin H. Kann, Brian Rood, Adam C. Resnick, Spyridon Bakas, Arastoo Vossough, Marius George Linguraru:
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. CoRR abs/2407.08855 (2024) - [i18]Julia Alekseenko, Bram Stieltjes, Michael Bach, Melanie Boerries, Oliver Opitz, Alexandros Karargyris, Nicolas Padoy:
Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration. CoRR abs/2410.02443 (2024) - 2023
- [j15]Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Saurav Sharma, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy:
Dissecting self-supervised learning methods for surgical computer vision. Medical Image Anal. 88: 102844 (2023) - [j14]Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - [j13]Hasan Kassem, Deepak Alapatt, Pietro Mascagni, Alexandros Karargyris, Nicolas Padoy:
Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases. IEEE Trans. Medical Imaging 42(7): 1920-1931 (2023) - [c30]Alexandros Karargyris, Shuaib Ahmed, Ryan Anthony J. de Belen, Bonny Banerjee, Timur Ibrayev, Satyananda Kashyap, Elizabeth A. Krupinski, Chenyi Kuang, Paul Madu, Amarachi Madu, Silvia Makowski, Athul Mathew, Tim Rolff, Bert Shi, Joy T. Wu, Danca Zario:
Discussion and recommendations from the 2023 "Gaze Meets ML" workshop breakout session. Gaze Meets ML 2023: 280-288 - [e3]Amarachi Madu Blessing, Joy T. Wu, Danca Zario, Elizabeth A. Krupinski, Satyananda Kashyap, Alexandros Karargyris:
Gaze Meets Machine Learning Workshop, 16 December 2023, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 226, PMLR 2023 [contents] - [i17]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) - 2022
- [j12]Idris Hamoud, Alexandros Karargyris, Aidean Sharghi, Omid Mohareri, Nicolas Padoy:
Self-supervised learning via cluster distance prediction for operating room context awareness. Int. J. Comput. Assist. Radiol. Surg. 17(8): 1469-1476 (2022) - [c29]Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi:
Preface. Gaze Meets ML 2022: 1-2 - [e2]Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi:
Proceedings of The 1st Gaze Meets ML workshop, in conjunction with the Annual Conference on Neural Information Processing Systems, 03 December 2022, New Orleans, USA. Proceedings of Machine Learning Research 210, PMLR 2022 [contents] - [i16]Hasan Kassem, Deepak Alapatt, Pietro Mascagni, AI4SafeChole Consortium, Alexandros Karargyris, Nicolas Padoy:
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases. CoRR abs/2203.07345 (2022) - [i15]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) - [i14]Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy:
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision. CoRR abs/2207.00449 (2022) - 2021
- [j11]Po-Chih Kuo, Cheng Che Tsai, Diego M. López, Alexandros Karargyris, Tom J. Pollard, Alistair E. W. Johnson, Leo Anthony Celi:
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph. npj Digit. Medicine 4 (2021) - [c28]Alexander Chowdhury, Hasan Kassem, Nicolas Padoy, Renato Umeton, Alexandros Karargyris:
A Review of Medical Federated Learning: Applications in Oncology and Cancer Research. BrainLes@MICCAI (1) 2021: 3-24 - [c27]Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap:
Self-training with improved regularization for sample-efficient chest x-ray classification. Medical Imaging: Computer-Aided Diagnosis 2021 - [i13]Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson:
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR abs/2110.01406 (2021) - 2020
- [c26]Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Joy T. Wu, Deddeh Ballah, Adam Coy, Alexandros Karargyris, Yufan Guo, David James Beymer, Anna Rumshisky, Vandana V. Mukherjee:
Towards Visual Dialog for Radiology. BioNLP 2020: 60-69 - [c25]Joy T. Wu, Yaniv Gur, Alexandros Karargyris, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities. ISBI 2020: 799-803 - [c24]Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. ISBI 2020: 1125-1129 - [c23]Mehdi Moradi, Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood:
Quality controlled segmentation to aid disease detection. Medical Imaging: Computer-Aided Diagnosis 2020 - [c22]Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi:
Chest X-Ray Report Generation Through Fine-Grained Label Learning. MICCAI (2) 2020: 561-571 - [c21]Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi:
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. MLMI@MICCAI 2020: 644-653 - [e1]Tanveer F. Syeda-Mahmood, Klaus Drechsler, Hayit Greenspan, Anant Madabhushi, Alexandros Karargyris, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Marius Erdt:
Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures - 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12445, Springer 2020, ISBN 978-3-030-60945-0 [contents] - [i12]Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap:
Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification. CoRR abs/2005.02231 (2020) - [i11]Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi:
Chest X-ray Report Generation through Fine-Grained Label Learning. CoRR abs/2007.13831 (2020) - [i10]Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. CoRR abs/2008.00363 (2020) - [i9]Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi:
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets. CoRR abs/2008.04152 (2020) - [i8]Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy T. Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana V. Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi:
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development. CoRR abs/2009.07386 (2020)
2010 – 2019
- 2019
- [j10]Dimitrios K. Iakovidis, George Dimas, Alexandros Karargyris, Federico Bianchi, Gastone Ciuti, Anastasios Koulaouzidis:
Deep Endoscopic Visual Measurements. IEEE J. Biomed. Health Informatics 23(6): 2211-2219 (2019) - [c20]Jayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karargyris:
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation. ICMLA 2019: 902-907 - [c19]Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, K. Seshadhri, Weiting Wang, Ken C. L. Wong, Joy T. Wu:
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. ISBI 2019: 863-867 - [c18]Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers. ISBI 2019: 877-881 - [c17]Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer Fathima Syeda-Mahmood:
Age prediction using a large chest x-ray dataset. Medical Imaging: Computer-Aided Diagnosis 2019: 109501U - [c16]Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris, Babak Saboury, Eliot L. Siegel, Tanveer F. Syeda-Mahmood:
Artificial intelligence for point of care radiograph quality assessment. Medical Imaging: Computer-Aided Diagnosis 2019: 109503K - [i7]Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Adam Coy, Deddeh Ballah, Yufan Guo, Joy T. Wu, Alexandros Karargyris, David Beymer, Anna Rumshisky, Vandana V. Mukherjee:
Visual Dialog for Radiology: Data Curation and FirstSteps. ViGIL@NeurIPS 2019 - [i6]Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Age prediction using a large chest X-ray dataset. CoRR abs/1903.06542 (2019) - [i5]Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, Karthik Sheshadri, Weiting Wang, Ken C. L. Wong, Joy T. Wu:
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. CoRR abs/1906.09336 (2019) - [i4]Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Boosting the rule-out accuracy of deep disease detection using class weight modifiers. CoRR abs/1906.09354 (2019) - [i3]Jayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karargyris:
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation. CoRR abs/1907.12926 (2019) - 2018
- [j9]Szilárd Vajda, Alexandros Karargyris, Stefan Jäger, KC Santosh, Sema Candemir, Zhiyun Xue, Sameer K. Antani, George R. Thoma:
Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. J. Medical Syst. 42(8): 146:1-146:11 (2018) - [c15]Ahmed Harouni, Alexandros Karargyris, Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood:
Universal multi-modal deep network for classification and segmentation of medical images. ISBI 2018: 872-876 - [c14]Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood:
Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation. ISBI 2018: 1038-1042 - [c13]Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth L. Clarkson, Nassir Navab:
Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation. MICCAI (4) 2018: 543-551 - [c12]Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood:
Chest x-ray generation and data augmentation for cardiovascular abnormality classification. Medical Imaging: Image Processing 2018: 105741M - [i2]Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi:
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. CoRR abs/1805.02730 (2018) - 2017
- [c11]T. Dassopoulos, Alexandros Karargyris, Sokratis Makrogiannis, Nikolaos G. Bourbakis:
A preliminary study for automatic accurate detection of adenomatous polyps in the small intestine. BHI 2017: 117-120 - [c10]George Dimas, Dimitrios K. Iakovidis, Gastone Ciuti, Alexandros Karargyris, Anastasios Koulaouzidis:
Visual Localization of Wireless Capsule Endoscopes Aided by Artificial Neural Networks. CBMS 2017: 734-738 - [c9]Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi:
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. MICCAI (3) 2017: 471-479 - 2016
- [j8]Alexandros Karargyris, Jenifer Siegelman, Dimitris Tzortzis, Stefan Jaeger, Sema Candemir, Zhiyun Xue, KC Santosh, Szilárd Vajda, Sameer K. Antani, Les R. Folio, George R. Thoma:
Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. Int. J. Comput. Assist. Radiol. Surg. 11(1): 99-106 (2016) - 2015
- [j7]KC Santosh, Sema Candemir, Stefan Jäger, Alexandros Karargyris, Sameer K. Antani, George R. Thoma, Les R. Folio:
Automatically Detecting Rotation in Chest Radiographs Using Principal Rib-Orientation Measure for Quality Control. Int. J. Pattern Recognit. Artif. Intell. 29(2): 1557001:1-1557001:19 (2015) - [j6]Alexandros Karargyris, Anastastios Koulaouzidis:
OdoCapsule: Next-Generation Wireless Capsule Endoscopy With Accurate Lesion Localization and Video Stabilization Capabilities. IEEE Trans. Biomed. Eng. 62(1): 352-360 (2015) - [i1]Alexandros Karargyris:
Color Space Transformation Network. CoRR abs/1511.01064 (2015) - 2014
- [j5]Stefan Jaeger, Alexandros Karargyris, Sema Candemir, Les R. Folio, Jenifer Siegelman, Fiona M. Callaghan, Zhiyun Xue, Kannappan Palaniappan, Rahul K. Singh, Sameer K. Antani, George R. Thoma, Yi-Xiang J. Wang, Pu-Xuan Lu, Clement J. McDonald:
Automatic Tuberculosis Screening Using Chest Radiographs. IEEE Trans. Medical Imaging 33(2): 233-245 (2014) - [j4]Sema Candemir, Stefan Jaeger, Kannappan Palaniappan, Jonathan P. Musco, Rahul K. Singh, Zhiyun Xue, Alexandros Karargyris, Sameer K. Antani, George R. Thoma, Clement J. McDonald:
Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration. IEEE Trans. Medical Imaging 33(2): 577-590 (2014) - [c8]KC Santosh, Sema Candemir, Stefan Jäger, Les R. Folio, Alexandros Karargyris, Sameer K. Antani, George R. Thoma:
Rotation Detection in Chest Radiographs Based on Generalized Line Histogram of Rib-Orientations. CBMS 2014: 138-142 - 2012
- [j3]Alexandros Karargyris, M. Pouagare, Orestis Karargyris, Nikolaos G. Bourbakis:
Automatic Detection of Similarities and Differences between Small bowel Polyps and Ulcers with a Data Mining Approach in Wireless Capsule Endoscopy Videos. Int. J. Artif. Intell. Tools 21(5) (2012) - [c7]Stefan Jaeger, Alexandros Karargyris, Sameer K. Antani, George R. Thoma:
Detecting tuberculosis in radiographs using combined lung masks. EMBC 2012: 4978-4981 - [c6]Alexandros Karargyris, Orestis Karargyris, Alexandros Pantelopoulos:
DERMA/Care: An Advanced image-Processing Mobile Application for Monitoring Skin Cancer. ICTAI 2012: 1-7 - 2011
- [j2]Alexandros Karargyris, Nikolaos G. Bourbakis:
Detection of Small Bowel Polyps and Ulcers in Wireless Capsule Endoscopy Videos. IEEE Trans. Biomed. Eng. 58(10): 2777-2786 (2011) - [j1]Alexandros Karargyris, Nikolaos G. Bourbakis:
Three-Dimensional Reconstruction of the Digestive Wall in Capsule Endoscopy Videos Using Elastic Video Interpolation. IEEE Trans. Medical Imaging 30(4): 957-971 (2011) - [c5]Alexandros Karargyris, Sameer K. Antani, George R. Thoma:
Segmenting anatomy in chest x-rays for tuberculosis screening. EMBC 2011: 7779-7782 - 2010
- [c4]Alexandros Karargyris, Nikolaos G. Bourbakis:
An Elastic Video Interpolation Methodology for Wireless Capsule Endoscopy Videos. BIBE 2010: 38-43 - [c3]Alexandros Karargyris, Orestis Karargyris, Nikolaos G. Bourbakis:
3D Representation of the Digestive Tract Surface in Wireless Capsule Endoscopy Videos. BIBE 2010: 279-280
2000 – 2009
- 2009
- [c2]Alexandros Karargyris, Nikolaos G. Bourbakis:
Identification of Ulcers in Wireless Capsule Endoscopy Videos. ISBI 2009: 554-557 - 2008
- [c1]Alexandros Karargyris, Nikolaos G. Bourbakis:
A methodology for detecting blood-based abnormalities in Wireless Capsule Endoscopy videos. BIBE 2008: 1-6
Coauthor Index
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