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Showing results 1 to 6 of 6

	Title	Author(s)	Issue Date
	AI Transformers for Radiation Dose Reduction in Serial Whole-Body PET Scans Journal:Radiology: Artificial Intelligence	Wang, Yan-Ran Joyce Qu, Liangqiong Sheybani, Natasha Diba Luo, Xiaolong Wang, Jiangshan Hawk, Kristina Elizabeth Theruvath, Ashok Joseph Gatidis, Sergios Xiao, Xuerong Pribnow, Allison Rubin, Daniel Daldrup-Link, Heike E	1-May-2023
	Federated Learning for Breast Density Classification: A Real-World Implementation Proceeding/Conference:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	Roth, Holger R.Chang, Ken Singh, Praveer Neumark, Nir Li, Wenqi Gupta, Vikash Gupta, Sharut Qu, Liangqiong Ihsani, Alvin Bizzo, Bernardo C.Wen, Yuhong Buch, Varun Shah, Meesam Kitamura, Felipe Mendonça, Matheus Lavor, Vitor Harouni, Ahmed Compas, Colin Tetreault, Jesse Dogra, Prerna Cheng, Yan Erdal, Selnur White, Richard Hashemian, Behrooz Schultz, Thomas Zhang, Miao McCarthy, Adam Yun, B. Min Sharaf, Elshaimaa Hoebel, Katharina V.Patel, Jay B.Chen, Bryan Ko, Sean Leibovitz, Evan Pisano, Etta D.Coombs, Laura Xu, Daguang Dreyer, Keith J.Dayan, Ittai Naidu, Ram C.Flores, Mona Rubin, Daniel Kalpathy-Cramer, Jayashree	2020
	Handling data heterogeneity with generative replay in collaborative learning for medical imaging Journal:Medical Image Analysis	Qu, Liangqiong Balachandar, Niranjan Zhang, Miao Rubin, Daniel	2022
	Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging Journal:IEEE Transactions on Medical Imaging	Yan, Rui Qu, Liangqiong Wei, Qingyue Huang, Shih Cheng Shen, Liyue Rubin, Daniel Xing, Lei Zhou, Yuyin	2022
	Low-count whole-body PET/MRI restoration: an evaluation of dose reduction spectrum and five state-of-the-art artificial intelligence models Journal:European Journal of Nuclear Medicine and Molecular Imaging	Wang, Yan Ran (Joyce)Wang, Pengcheng Adams, Lisa Christine Sheybani, Natasha Diba Qu, Liangqiong Sarrami, Amir Hossein Theruvath, Ashok Joseph Gatidis, Sergios Ho, Tina Zhou, Quan Pribnow, Allison Thakor, Avnesh S.Rubin, Daniel Daldrup-Link, Heike E.	2023
	Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Proceeding/Conference:Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition	Qu, Liangqiong Zhou, Yuyin Liang, Paul Pu Xia, Yingda Wang, Feifei Adeli, Ehsan Fei-Fei, Li Rubin, Daniel	2022

Showing results 1 to 6 of 6