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Krzysztof J. Geras

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Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data

Nov 15, 2023
Yiqiu Shen, Jungkyu Park, Frank Yeung, Eliana Goldberg, Laura Heacock, Farah Shamout, Krzysztof J. Geras

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Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning

Oct 17, 2022
Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda

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3D-GMIC: an efficient deep neural network to find small objects in large 3D images

Oct 16, 2022
Jungkyu Park, Jakub Chłędowski, Stanisław Jastrzębski, 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 Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras

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MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images

Jul 14, 2022
Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout

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Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks

Feb 10, 2022
Nan Wu, Stanisław Jastrzębski, Kyunghyun Cho, Krzysztof J. Geras

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Towards dynamic multi-modal phenotyping using chest radiographs and physiological data

Nov 04, 2021
Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout

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Meta-repository of screening mammography classifiers

Aug 10, 2021
Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, Jakub Chłędowski, Farah E. Shamout, Kyunghyun Cho, Krzysztof J. Geras

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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

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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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