Isoelastic Agents and Wealth Updates in Machine Learning Markets. - Amos J. Storkey; Jono Millin; Krzysztof J. Geras (ICML, 2012)

Multiple-source cross-validation. - Krzysztof J. Geras; Charles Sutton (ICML (3), 2013)

Compressing LSTMs into CNNs. - Krzysztof J. Geras; Abdel-rahman Mohamed; Rich Caruana; Gregor Urban; Shengjie Wang; Özlem Aslan; Matthai Philipose; Matthew Richardson; Charles Sutton (CoRR, 2015)

Scheduled denoising autoencoders. - Krzysztof J. Geras; Charles Sutton (ICLR (Poster), 2015)

Analysis of Deep Neural Networks with Extended Data Jacobian Matrix. - Shengjie Wang; Abdel-rahman Mohamed; Rich Caruana; Jeff A. Bilmes; Matthai Philipose; Matthew Richardson; Krzysztof J. Geras; Gregor Urban; Özlem Aslan (ICML, 2016)

Composite Denoising Autoencoders. - Krzysztof J. Geras; Charles Sutton (ECML/PKDD (1), 2016)

Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)? - Gregor Urban; Krzysztof J. Geras; Samira Ebrahimi Kahou; Özlem Aslan; Shengjie Wang; Rich Caruana; Abdelrahman Mohamed; Matthai Philipose; Matthew Richardson (CoRR, 2016)

Do Deep Convolutional Nets Really Need to be Deep and Convolutional? - Gregor Urban; Krzysztof J. Geras; Samira Ebrahimi Kahou; Özlem Aslan; Shengjie Wang; Abdelrahman Mohamed; Matthai Philipose; Matthew Richardson; Rich Caruana (ICLR (Poster), 2017)

High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks. - Krzysztof J. Geras; Stacey Wolfson; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho (CoRR, 2017)

Breast Density Classification with Deep Convolutional Neural Networks. - Nan Wu; Krzysztof J. Geras; Yiqiu Shen; Jingyi Su; Sungheon Gene Kim; Eric Kim; Stacey Wolfson; Linda Moy; Kyunghyun Cho (ICASSP, 2018)

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. - 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; et al. (CoRR, 2018)

Exploiting diversity for efficient machine learning - Krzysztof J. Geras (2018)

Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. - Yiqiu Shen; Nan Wu; Jason Phang; Jungkyu Park 001; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (MLMI@MICCAI, 2019)

Screening Mammogram Classification with Prior Exams. - Jungkyu Park 001; Jason Phang; Yiqiu Shen; Nan Wu; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (CoRR, 2019)

Improving localization-based approaches for breast cancer screening exam classification. - Thibault Févry; Jason Phang; Nan Wu; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (CoRR, 2019)

The Break-Even Point on Optimization Trajectories of Deep Neural Networks. - Stanislaw Jastrzebski; Maciej Szymczak; Stanislav Fort; Devansh Arpit; Jacek Tabor; Kyunghyun Cho; Krzysztof J. Geras (ICLR, 2020)

Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening. - Nan Wu; Stanislaw Jastrzebski; Jungkyu Park 001; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (MIDL, 2020)

Understanding the robustness of deep neural network classifiers for breast cancer screening. - Witold Oleszkiewicz; Taro Makino; Stanislaw Jastrzebski; Tomasz Trzcinski; Linda Moy; Kyunghyun Cho; Laura Heacock; Krzysztof J. Geras (CoRR, 2020)

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. - Farah E. Shamout; Yiqiu Shen; Nan Wu; Aakash Kaku; Jungkyu Park 001; Taro Makino; Stanislaw Jastrzebski; Duo Wang; Ben Zhang; Siddhant Dogra; Meng Cao; Narges Razavian; et al. (CoRR, 2020)

Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. - Nan Wu; Zhe Huang 005; Yiqiu Shen; Jungkyu Park 001; Jason Phang; Taro Makino; Sungheon Gene Kim; Kyunghyun Cho; Laura Heacock; Linda Moy; Krzysztof J. Geras (CoRR, 2020)

Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability. - Jason Phang; Jungkyu Park 001; Krzysztof J. Geras (CoRR, 2020)

Differences between human and machine perception in medical diagnosis. - Taro Makino; Stanislaw Jastrzebski; Witold Oleszkiewicz; Celin Chacko; Robin Ehrenpreis; Naziya Samreen; Chloe Chhor; Eric Kim; Jiyon Lee; Kristine Pysarenko; Beatriu Reig; Hildegard Toth; et al. (CoRR, 2020)

Classifier-agnostic saliency map extraction. - Konrad Zolna; Krzysztof J. Geras; Kyunghyun Cho (Comput. Vis. Image Underst., 2020)

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. - Nan Wu; Jason Phang; Jungkyu Park 001; Yiqiu Shen; Zhe Huang 005; Masha Zorin; Stanislaw Jastrzebski; Thibault Févry; Joe Katsnelson; Eric Kim; Stacey Wolfson; Ujas Parikh; et al. (IEEE Trans. Medical Imaging, 2020)

Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. - Stanislaw Jastrzebski; Devansh Arpit; Oliver Åstrand; Giancarlo Kerg; Huan Wang 014; Caiming Xiong; Richard Socher; Kyunghyun Cho; Krzysztof J. Geras (ICML, 2021)

Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. - Kangning Liu; Yiqiu Shen; Nan Wu; Jakub Piotr Chledowski; Carlos Fernandez-Granda; Krzysztof J. Geras (MIDL, 2021)

COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. - Anuroop Sriram; Matthew J. Muckley; Koustuv Sinha; Farah Shamout; Joelle Pineau; Krzysztof J. Geras; Lea Azour; Yindalon Aphinyanaphongs; Nafissa Yakubova; William Moore (CoRR, 2021)

Meta-repository of screening mammography classifiers. - Benjamin Stadnick; Jan Witowski; Vishwaesh Rajiv; Jakub Chledowski; Farah E. Shamout; Kyunghyun Cho; Krzysztof J. Geras (CoRR, 2021)

Towards dynamic multi-modal phenotyping using chest radiographs and physiological data. - Nasir Hayat; Krzysztof J. Geras; Farah E. Shamout (CoRR, 2021)

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. - Nan Wu; Zhe Huang 005; Yiqiu Shen; Jungkyu Park 001; Jason Phang; Taro Makino; Sungheon Gene Kim; Kyunghyun Cho; Laura Heacock; Linda Moy; Krzysztof J. Geras (J. Digit. Imaging, 2021)

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. - Yiqiu Shen; Nan Wu; Jason Phang; Jungkyu Park 001; Kangning Liu; Sudarshini Tyagi; Laura Heacock; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (Medical Image Anal., 2021)

Lessons from the first DBTex Challenge. - Jungkyu Park 001; 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; et al. (Nat. Mach. Intell., 2021)

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. - Farah E. Shamout; Yiqiu Shen; Nan Wu; Aakash Kaku; Jungkyu Park 001; Taro Makino; Stanislaw Jastrzebski; Jan Witowski; Duo Wang; Ben Zhang; Siddhant Dogra; Meng Cao; et al. (npj Digit. Medicine, 2021)

A convolutional neural network for common coordinate registration of high-resolution histology images. - Aidan C. Daly; Krzysztof J. Geras; Richard Bonneau (Bioinform., 2021)

Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks. - Nan Wu; Stanislaw Jastrzebski; Kyunghyun Cho; Krzysztof J. Geras (ICML, 2022)

MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images. - Nasir Hayat; Krzysztof J. Geras; Farah E. Shamout (MLHC, 2022)

Generative multitask learning mitigates target-causing confounding. - Taro Makino; Krzysztof J. Geras; Kyunghyun Cho (NeurIPS, 2022)

3D-GMIC: an efficient deep neural network to find small objects in large 3D images. - Jungkyu Park 001; Jakub Chledowski; Stanislaw Jastrzebski; Jan Witowski; Yanqi Xu; Linda Du; Sushma Gaddam; Eric Kim; Alana Lewin; Ujas Parikh; Anastasia Plaunova; Sardius Chen; et al. (CoRR, 2022)

Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. - Kangning Liu; Weicheng Zhu; Yiqiu Shen; Sheng Liu; Narges Razavian; Krzysztof J. Geras; Carlos Fernandez-Granda (CVPR, 2023)

Exploring synthesizing 2D mammograms from 3D digital breast tomosynthesis images. - Jakub Chledowski; Jungkyu Park 001; Krzysztof J. Geras (DICTA, 2023)

Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data. - Yiqiu Shen; Jungkyu Park 001; Frank Yeung; Eliana Goldberg; Laura Heacock; Farah Shamout; Krzysztof J. Geras (CoRR, 2023)

Detecting incidental correlation in multimodal learning via latent variable modeling. - Taro Makino; Yixin Wang; Krzysztof J. Geras; Kyunghyun Cho (Trans. Mach. Learn. Res., 2023)

Uncertainty-aware Fine-tuning of Segmentation Foundation Models. - Kangning Liu; Brian L. Price; Jason Kuen; Yifei Fan; Zijun Wei; Luis Figueroa; Krzysztof J. Geras; Carlos Fernandez-Granda (NeurIPS, 2024)

Understanding differences in applying DETR to natural and medical images. - Yanqi Xu; Yiqiu Shen; Carlos Fernandez-Granda; Laura Heacock; Krzysztof J. Geras (CoRR, 2024)

A training regime to learn unified representations from complementary breast imaging modalities. - Umang Sharma; Jungkyu Park 001; Laura Heacock; Sumit Chopra; Krzysztof J. Geras (CoRR, 2024)

Multi-modal AI for comprehensive breast cancer prognostication. - 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; et al. (CoRR, 2024)

An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects. - Jungkyu Park 001; Jakub Chledowski; Stanislaw Jastrzebski; Jan Witowski; Yanqi Xu; Linda Du; Sushma Gaddam; Eric Kim; Alana Lewin; Ujas Parikh; Anastasia Plaunova; Sardius Chen; et al. (IEEE Trans. Medical Imaging, 2024)

MedMod: Multimodal Benchmark for Medical Prediction Tasks with Electronic Health Records and Chest X-Ray Scans. - Shaza Elsharief; Saeed Shurrab; Baraa Al Jorf; Leopoldo Julian Lechuga López; Krzysztof J. Geras; Farah E. Shamout (CHIL, 2025)

A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study. - Jungkyu Park 001; Jan Witowski; Yanqi Xu; Hari Trivedi; Judy Gichoya; Beatrice Brown-Mulry; Malte Westerhoff; Linda Moy; Laura Heacock; Alana Lewin; Krzysztof J. Geras (CoRR, 2025)