Taro Makino

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Multitask Learning

Emergency Department

Low False Positive Rate

Top Venues

npj Digit. Medicine

J. Digit. Imaging

Trans. Mach. Learn. Res.

Publications

Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho
A Framework for Multi-modal Learning: Jointly Modeling Inter- & Intra-Modality Dependencies. CoRR (2024)
Taro Makino, Yixin Wang, Krzysztof J. Geras, Kyunghyun Cho
Detecting incidental correlation in multimodal learning via latent variable modeling. Trans. Mach. Learn. Res. 2023 (2023)
Taro Makino, Krzysztof J. Geras, Kyunghyun Cho
Generative multitask learning mitigates target-causing confounding. NeurIPS (2022)
Taro Makino, Krzysztof J. Geras, Kyunghyun Cho
Generative multitask learning mitigates target-causing confounding. CoRR (2022)
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
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine 4 (2021)
Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, S. Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras
Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. J. Digit. Imaging 34 (6) (2021)
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
Differences between human and machine perception in medical diagnosis. CoRR (2020)
Witold Oleszkiewicz, Taro Makino, Stanislaw Jastrzebski, Tomasz Trzcinski, Linda Moy, Kyunghyun Cho, Laura Heacock, Krzysztof J. Geras
Understanding the robustness of deep neural network classifiers for breast cancer screening. CoRR (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
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. CoRR (2020)
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
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR (2020)