Krzysztof J. Geras

63 papers A* 9Misc 2Journal 41Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study. CoRR Jungkyu Park, Jan Witowski, Yanqi Xu, Hari Trivedi, Judy Gichoya, Beatrice Brown-Mulry, Malte Westerhoff, Linda Moy, Laura Heacock, Alana Lewin, Krzysztof J. Geras
2025	—	`conf`	MedMod: Multimodal Benchmark for Medical Prediction Tasks with Electronic Health Records and Chest X-Ray Scans. CHIL Shaza Elsharief, Saeed Shurrab, Baraa Al Jorf, Leopoldo Julian Lechuga López, Krzysztof J. Geras, Farah E. Shamout
2025	—	`conf`	Meta-Repository of Screening Mammography Classifiers. MedInfo Jakub Chledowski, Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, Farah E. Shamout, Kyunghyun Cho, Krzysztof J. Geras
2024	J	`jnl`	A training regime to learn unified representations from complementary breast imaging modalities. CoRR Umang Sharma, Jungkyu Park, Laura Heacock, Sumit Chopra, Krzysztof J. Geras
2024	J	`jnl`	An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects. IEEE Trans. Medical Imaging Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia E. Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras
2024	J	`jnl`	Multi-modal AI for comprehensive breast cancer prognostication. CoRR Jan Witowski, Ken Zeng, Joseph Cappadona, Jailan Elayoubi, Elena Diana Chiru, Nancy Chan, Young-Joon Kang, Frederick Howard, Irina Ostrovnaya, Carlos Fernandez-Granda, Freya Schnabel, Ugur Ozerdem, Kangning Liu, Zoe Steinsnyder, Nitya Thakore, Mohammad Sadic, Frank Yeung, Elisa Liu, Theodore Hill, Benjamin Swett, Danielle Rigau, Andrew Clayburn, Valerie Speirs, Marcus Vetter, Lina Sojak, Simone Muenst Soysal, Daniel Baumhoer, Khalil Choucair, Yu Zong, Lina Daoud, Anas Saad, Waleed Abdulsattar, Rafic Beydoun, Jia-Wern Pan, Haslina Makmur, Soo-Hwang Teo, Linda Ma Pak, Victor Angel, Dovile Zilenaite-Petrulaitiene, Arvydas Laurinavicius, Natalie Klar, Brian Piening, Carlo Bifulco, Sun-Young Jun, Jae Pak Yi, Su Hyun Lim, Adam Brufsky, Francisco J. Esteva, Lajos Pusztai, Yann LeCun, Krzysztof J. Geras
2024	A*	`conf`	Uncertainty-aware Fine-tuning of Segmentation Foundation Models. NeurIPS Kangning Liu, Brian L. Price, Jason Kuen, Yifei Fan, Zijun Wei, Luis Figueroa, Krzysztof J. Geras, Carlos Fernandez-Granda
2024	J	`jnl`	Understanding differences in applying DETR to natural and medical images. CoRR Yanqi Xu, Yiqiu Shen, Carlos Fernandez-Granda, Laura Heacock, Krzysztof J. Geras
2023	J	`jnl`	Detecting incidental correlation in multimodal learning via latent variable modeling. Trans. Mach. Learn. Res. Taro Makino, Yixin Wang, Krzysztof J. Geras, Kyunghyun Cho
2023	Misc	`conf`	Exploring synthesizing 2D mammograms from 3D digital breast tomosynthesis images. DICTA Jakub Chledowski, Jungkyu Park, Krzysztof J. Geras
2023	J	`jnl`	Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data. CoRR Yiqiu Shen, Jungkyu Park, Frank Yeung, Eliana Goldberg, Laura Heacock, Farah Shamout, Krzysztof J. Geras
2023	A*	`conf`	Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CVPR Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
2022	J	`jnl`	3D-GMIC: an efficient deep neural network to find small objects in large 3D images. CoRR Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia E. Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras
2022	A*	`conf`	Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks. ICML Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J. Geras
2022	J	`jnl`	Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks. CoRR Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J. Geras
2022	A*	`conf`	Generative multitask learning mitigates target-causing confounding. NeurIPS Taro Makino, Krzysztof J. Geras, Kyunghyun Cho
2022	J	`jnl`	Generative multitask learning mitigates target-causing confounding. CoRR Taro Makino, Krzysztof J. Geras, Kyunghyun Cho
2022	—	`conf`	MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images. MLHC Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout
2022	J	`jnl`	MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images. CoRR Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout
2022	J	`jnl`	Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CoRR Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
2021	J	`jnl`	A convolutional neural network for common coordinate registration of high-resolution histology images. Bioinform. Aidan C. Daly, Krzysztof J. Geras, Richard Bonneau
2021	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Jan Witowski, 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
2021	J	`jnl`	An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. Medical Image Anal. Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2021	J	`jnl`	COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. CoRR Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore
2021	A*	`conf`	Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. ICML Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras
2021	J	`jnl`	Lessons from the first DBTex Challenge. Nat. Mach. Intell. Jungkyu Park, Yoel Shoshan, Robert Martí, Pablo Gómez del Campo, Vadim Ratner, Daniel Khapun, Aviad Zlotnick, Ella Barkan, Flora Gilboa-Solomon, Jakub Chledowski, Jan Witowski, Alexandra Millet, Eric Kim, Alana Lewin, Kristine Pysarenko, Sardius Chen, Julia E. Goldberg, Shalin Patel, Anastasia Plaunova, Melanie Wegener, Stacey Wolfson, Jiyon Lee, Sana Hava, Sindhoora Murthy, Linda Du, Sushma Gaddam, Ujas Parikh, Laura Heacock, Linda Moy, Beatriu Reig, Michal Rosen-Zvi, Krzysztof J. Geras
2021	J	`jnl`	Meta-repository of screening mammography classifiers. CoRR Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, Jakub Chledowski, Farah E. Shamout, Kyunghyun Cho, Krzysztof J. Geras
2021	J	`jnl`	Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. J. Digit. Imaging Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras
2021	J	`jnl`	Towards dynamic multi-modal phenotyping using chest radiographs and physiological data. CoRR Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout
2021	—	`conf`	Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. MIDL Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Piotr Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras
2021	J	`jnl`	Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. CoRR Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras
2020	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, 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
2020	J	`jnl`	An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. CoRR Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. CoRR Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Classifier-agnostic saliency map extraction. Comput. Vis. Image Underst. Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho
2020	J	`jnl`	Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. IEEE Trans. Medical Imaging Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, 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, Sungheon Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Differences between human and machine perception in medical diagnosis. CoRR 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
2020	—	`conf`	Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening. MIDL Nan Wu, Stanislaw Jastrzebski, Jungkyu Park, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability. CoRR Jason Phang, Jungkyu Park, Krzysztof J. Geras
2020	J	`jnl`	Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. CoRR Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras
2020	A*	`conf`	The Break-Even Point on Optimization Trajectories of Deep Neural Networks. ICLR Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	The Break-Even Point on Optimization Trajectories of Deep Neural Networks. CoRR Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Understanding the robustness of deep neural network classifiers for breast cancer screening. CoRR Witold Oleszkiewicz, Taro Makino, Stanislaw Jastrzebski, Tomasz Trzcinski, Linda Moy, Kyunghyun Cho, Laura Heacock, Krzysztof J. Geras
2019	A*	`conf`	Classifier-Agnostic Saliency Map Extraction. AAAI Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho
2019	J	`jnl`	Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. CoRR Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, 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, Sungheon Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	—	`conf`	Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. MLMI@MICCAI Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	J	`jnl`	Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. CoRR Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	J	`jnl`	Improving localization-based approaches for breast cancer screening exam classification. CoRR Thibault Févry, Jason Phang, Nan Wu, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	J	`jnl`	Screening Mammogram Classification with Prior Exams. CoRR Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2018	Misc	`conf`	Breast Density Classification with Deep Convolutional Neural Networks. ICASSP Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho
2018	J	`jnl`	Classifier-agnostic saliency map extraction. CoRR Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho
2018	—	`—`	Exploiting diversity for efficient machine learning Krzysztof J. Geras
2018	J	`jnl`	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR 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 G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui
2017	J	`jnl`	Breast density classification with deep convolutional neural networks. CoRR Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho
2017	—	`conf`	Do Deep Convolutional Nets Really Need to be Deep and Convolutional? ICLR (Poster) Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson, Rich Caruana
2017	J	`jnl`	High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks. CoRR Krzysztof J. Geras, Stacey Wolfson, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho
2016	A*	`conf`	Analysis of Deep Neural Networks with Extended Data Jacobian Matrix. ICML Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana, Jeff A. Bilmes, Matthai Philipose, Matthew Richardson, Krzysztof J. Geras, Gregor Urban, Özlem Aslan
2016	—	`conf`	Composite Denoising Autoencoders. ECML/PKDD (1) Krzysztof J. Geras, Charles Sutton
2016	J	`jnl`	Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)? CoRR Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson
2015	J	`jnl`	Compressing LSTMs into CNNs. CoRR Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana, Gregor Urban, Shengjie Wang, Özlem Aslan, Matthai Philipose, Matthew Richardson, Charles Sutton
2015	—	`conf`	Scheduled denoising autoencoders. ICLR (Poster) Krzysztof J. Geras, Charles Sutton
2013	—	`conf`	Multiple-source cross-validation. ICML (3) Krzysztof J. Geras, Charles Sutton
2012	A*	`conf`	Isoelastic Agents and Wealth Updates in Machine Learning Markets. ICML Amos J. Storkey, Jono Millin, Krzysztof J. Geras