Hersh Chandarana

11 papers Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Context-aware deep learning using individualized prior information reduces false positives in disease risk prediction and longitudinal health assessment. CoRR Lavanya Umapathy, Patricia M. Johnson, Tarun Dutt, Angela Tong, Madhur Nayan, Hersh Chandarana, Daniel K. Sodickson
2025	J	`jnl`	Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference. CoRR Haoyang Pei, Ding Xia, Xiang Xu, William Moore, Yao Wang, Hersh Chandarana, Li Feng
2025	J	`jnl`	Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lungs at 0.55T. CoRR Jingjia Chen, Haoyang Pei, Christoph Maier, Mary Bruno, Qiuting Wen, Seon-Hi Shin, William Moore, Hersh Chandarana, Li Feng
2023	J	`jnl`	FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging. CoRR Radhika Tibrewala, Tarun Dutt, Angela Tong, Luke Ginocchio, Mahesh Bharath Keerthivasan, Steven H. Baete, Sumit Chopra, Yvonne W. Lui, Daniel K. Sodickson, Hersh Chandarana, Patricia M. Johnson
2023	J	`jnl`	On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease. CoRR Raghav Singhal, Mukund Sudarshan, Anish Mahishi, Sri Kaushik, Luke Ginocchio, Angela Tong, Hersh Chandarana, Daniel K. Sodickson, Rajesh Ranganath, Sumit Chopra
2018	J	`jnl`	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui
2016	—	`conf`	Optimal target VOI size for accurate 4D coregistration of DCE-MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging Brian Park, Artem Mikheev, Youssef Zaim Wadghiri, Anne Bertrand, Dmitry S. Novikov, Hersh Chandarana, Henry Rusinek
2015	—	`conf`	The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography. Biomedical Applications in Molecular, Structural, and Functional Imaging Daniel K. Sodickson, Li Feng, Florian Knoll, Martijn A. Cloos, Noam Ben-Eliezer, Leon Axel, Hersh Chandarana, Tobias Block, Ricardo Otazo
2014	—	`conf`	Performance of an automated renal segmentation algorithm based on morphological erosion and connectivity. Computer-Aided Diagnosis Benjamin Abiri, Brian Park, Hersh Chandarana, Artem Mikheev, Vivian S. Lee, Henry Rusinek
2012	—	`conf`	Combination of compressed sensing and parallel imaging for highly-accelerated dynamic MRI. ISBI Ricardo Otazo, Li Feng, Hersh Chandarana, Tobias Block, Leon Axel, Daniel K. Sodickson
2010	—	`conf`	Segmentation of polycystic kidneys from MR images. Computer-Aided Diagnosis Dimitri Racimora, Pierre-Hugues Vivier, Hersh Chandarana, Henry Rusinek