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Taro Makino
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Generative multitask learning mitigates target-causing confounding


Feb 08, 2022
Taro Makino, Krzysztof Geras, Kyunghyun Cho

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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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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

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* Accepted as a workshop paper at AI4AH, ICLR 2020 
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