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Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases


Mar 14, 2022
Hasan Kassem, Deepak Alapatt, Pietro Mascagni, AI4SafeChole Consortium, Alexandros Karargyris, Nicolas Padoy

* 11 pages, 4 figures 

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MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation


Oct 08, 2021
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 Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas 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


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Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development


Oct 08, 2020
Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana Mukherjee, Elizabeth A Krupinski, Mehdi Moradi


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Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Tool Development


Sep 15, 2020
Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana Mukherjee, Elizabeth A Krupinski, Mehdi Moradi


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Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets


Aug 04, 2020
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi

* Accepted to Machine Learning in Medical Imaging (MLMI 2020), in conjunction with MICCAI 2020, Oct. 4, 2020 

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Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning


Aug 02, 2020
Satyananda Kashyap, Alexandros Karargyris, Joy Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer Syeda-Mahmood

* 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) 
* 5 pages, Paper presented as a poster at the International Symposium on Biomedical Imaging, 2020, Paper Number 655 

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Chest X-ray Report Generation through Fine-Grained Label Learning


Jul 27, 2020
Tanveer 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 Boyko, Mehdi Moradi

* 11 pages, 5 figures, to appear in MICCAI 2020 Conference 

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Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification


May 03, 2020
Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap


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Boosting the rule-out accuracy of deep disease detection using class weight modifiers


Jun 21, 2019
Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer Syeda-Mahmood

* This paper was accepted by the IEEE International Symposium on Biomedical Imaging (ISBI) 2019 

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Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays


Jun 21, 2019
Tanveer 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

* This paper was accepted by the IEEE International Symposium on Biomedical Imaging (ISBI) 2019 

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Age prediction using a large chest X-ray dataset


Mar 09, 2019
Alexandros Karargyris, Satyananda Kashyap, Joy T Wu, Arjun Sharma, Mehdi Moradi, Tanveer Syeda-Mahmood

* Presented at SPIE Medical Imaging Conference, San Diego, 2019 

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Building Disease Detection Algorithms with Very Small Numbers of Positive Samples


May 07, 2018
Ken C. L. Wong, Alexandros Karargyris, Tanveer Syeda-Mahmood, Mehdi Moradi


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Color Space Transformation Network


Dec 11, 2015
Alexandros Karargyris

* Report 

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