Segmentation of polycystic kidneys from MR images. - Dimitri Racimora; Pierre-Hugues Vivier; Hersh Chandarana; Henry Rusinek (Computer-Aided Diagnosis, 2010)

Combination of compressed sensing and parallel imaging for highly-accelerated dynamic MRI. - Ricardo Otazo; Li Feng; Hersh Chandarana; Tobias Block; Leon Axel; Daniel K. Sodickson (ISBI, 2012)

Performance of an automated renal segmentation algorithm based on morphological erosion and connectivity. - Benjamin Abiri; Brian Park; Hersh Chandarana; Artem Mikheev; Vivian S. Lee; Henry Rusinek (Computer-Aided Diagnosis, 2014)

The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography. - Daniel K. Sodickson; Li Feng; Florian Knoll; Martijn A. Cloos; Noam Ben-Eliezer; Leon Axel; Hersh Chandarana; Tobias Block; Ricardo Otazo (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Optimal target VOI size for accurate 4D coregistration of DCE-MRI. - Brian Park; Artem Mikheev; Youssef Zaim Wadghiri; Anne Bertrand; Dmitry S. Novikov; Hersh Chandarana; Henry Rusinek (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. - 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; et al. (CoRR, 2018)

On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease. - Raghav Singhal; Mukund Sudarshan; Anish Mahishi; Sri Kaushik; Luke Ginocchio; Angela Tong; Hersh Chandarana; Daniel K. Sodickson; Rajesh Ranganath; Sumit Chopra (CoRR, 2023)

FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging. - 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 (CoRR, 2023)

Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference. - Haoyang Pei; Ding Xia; Xiang Xu; William Moore; Yao Wang; Hersh Chandarana; Li Feng (CoRR, 2025)

Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lungs at 0.55T. - Jingjia Chen; Haoyang Pei; Christoph Maier; Mary Bruno; Qiuting Wen; Seon-Hi Shin; William Moore; Hersh Chandarana; Li Feng (CoRR, 2025)