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Daniel Rubin

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RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR

Nov 23, 2021
Yuyin Zhou, Shih-Cheng Huang, Jason Alan Fries, Alaa Youssef, Timothy J. Amrhein, Marcello Chang, Imon Banerjee, Daniel Rubin, Lei Xing, Nigam Shah, Matthew P. Lungren

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Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence

Nov 18, 2021
Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia

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Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging

Jun 24, 2021
Liangqiong Qu, Niranjan Balachandar, Miao Zhang, Daniel Rubin

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Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning

Jun 10, 2021
Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Li Fei-Fei, Ehsan Adeli, Daniel Rubin

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Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels

Jun 03, 2021
Florian Dubost, Khaled Kamal Saab, Erin Hong, Daniel Yang Fu, Max Pike, Siddharth Sharma, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel Rubin

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Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy

Dec 01, 2020
Florian Dubost, Erin Hong, Daniel Y Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Jared Dunnmon, Daniel Rubin, Christopher Lee-Messer

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Federated Learning for Breast Density Classification: A Real-World Implementation

Sep 17, 2020
Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard White, Behrooz Hashemian, Thomas Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina V. Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel Rubin, Jayashree Kalpathy-Cramer

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Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization

Feb 23, 2020
Darvin Yi, Endre Gøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel Rubin

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Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives

Jan 26, 2020
Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel Rubin

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