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Picture for Krzysztof J. Geras

Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis


Jun 15, 2021
Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chłędowski, Carlos Fernandez-Granda, Krzysztof J. Geras

* The last two authors contributed equally. Accepted to Medical Imaging with Deep Learning (MIDL) 2021 

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COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction


Jan 25, 2021
Anuroop Sriram, Matthew Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore


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COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction


Jan 13, 2021
Anuroop Sriram, Matthew Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore


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Differences between human and machine perception in medical diagnosis


Nov 28, 2020
Taro Makino, Stanislaw Jastrzebski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen, Chloe Chhor, Eric Kim, Jiyon Lee, Kristine Pysarenko, Beatriu Reig, Hildegard Toth, Divya Awal, Linda Du, Alice Kim, James Park, Daniel K. Sodickson, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras


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Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability


Oct 19, 2020
Jason Phang, Jungkyu Park, Krzysztof J. Geras


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Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms


Sep 19, 2020
Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, S. Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras


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An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department


Aug 04, 2020
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanisław Jastrzębski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras


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Understanding the robustness of deep neural network classifiers for breast cancer screening


Mar 23, 2020
Witold Oleszkiewicz, Taro Makino, Stanisław Jastrzębski, Tomasz Trzciński, Linda Moy, Kyunghyun Cho, Laura Heacock, Krzysztof J. Geras

* Accepted as a workshop paper at AI4AH, ICLR 2020 

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An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization


Feb 13, 2020
Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras


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Improving localization-based approaches for breast cancer screening exam classification


Aug 01, 2019
Thibault FĂ©vry, Jason Phang, Nan Wu, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

* MIDL 2019 [arXiv:1907.08612] 

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Screening Mammogram Classification with Prior Exams


Jul 30, 2019
Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

* MIDL 2019 [arXiv:1907.08612] 

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Globally-Aware Multiple Instance Classifier for Breast Cancer Screening


Jun 07, 2019
Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras


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Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening


Mar 20, 2019
Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanisław Jastrzębski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, S. Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras


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fastMRI: An Open Dataset and Benchmarks for Accelerated MRI


Nov 21, 2018
Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui

* 29 pages, 8 figures 

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Classifier-agnostic saliency map extraction


Oct 02, 2018
Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho


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High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks


Jun 28, 2018
Krzysztof J. Geras, Stacey Wolfson, Yiqiu Shen, Nan Wu, S. Gene Kim, Eric Kim, Laura Heacock, Ujas Parikh, Linda Moy, Kyunghyun Cho


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Breast density classification with deep convolutional neural networks


Nov 10, 2017
Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, S. Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho


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Do Deep Convolutional Nets Really Need to be Deep and Convolutional?


Mar 04, 2017
Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Ozlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matt Richardson


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Blending LSTMs into CNNs


Sep 14, 2016
Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana, Gregor Urban, Shengjie Wang, Ozlem Aslan, Matthai Philipose, Matthew Richardson, Charles Sutton


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Scheduled denoising autoencoders


Apr 10, 2015
Krzysztof J. Geras, Charles Sutton

* Published as a conference paper at ICLR 2015 

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