Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks. - Arjun D. Desai; Garry Gold; Brian A. Hargreaves; Akshay Chaudhari (CoRR, 2019)

Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery. - Michael Zhang; Xiaotian Cheng; Daniel Copeland; Arjun D. Desai; Melody Y. Guan; Gabriel A. Brat; Serena Yeung (AMIA, 2020)

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. - Arjun D. Desai; Francesco Calivá; Claudia Iriondo; Naji Khosravan; Aliasghar Mortazi; Sachin Jambawalikar; Drew A. Torigian; Jutta Ellermann; Mehmet Akçakaya; Ulas Bagci; Radhika Tibrewala; Io Flament; et al. (CoRR, 2020)

SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation. - Arjun D. Desai; Andrew M. Schmidt; Elka B. Rubin; Christopher M. Sandino; Marianne S. Black; Valentina Mazzoli; Kathryn J. Stevens; Robert Boutin; Christopher Ré; Garry Gold; Brian A. Hargreaves; Akshay Chaudhari (NeurIPS Datasets and Benchmarks, 2021)

Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising. - Arjun D. Desai; Batu M. Ozturkler; Christopher M. Sandino; Shreyas Vasanawala; Brian A. Hargreaves; Christopher Ré; John M. Pauly; Akshay S. Chaudhari (CoRR, 2021)

Monarch: Expressive Structured Matrices for Efficient and Accurate Training. - Tri Dao; Beidi Chen; Nimit Sharad Sohoni; Arjun D. Desai; Michael Poli; Jessica Grogan; Alexander Liu; Aniruddh Rao; Atri Rudra; Christopher Ré (ICML, 2022)

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. - Beliz Gunel; Arda Sahiner; Arjun D. Desai; Akshay S. Chaudhari; Shreyas Vasanawala; Mert Pilanci; John M. Pauly (MICCAI (6), 2022)

VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. - Arjun D. Desai; Beliz Gunel; Batu M. Ozturkler; Harris Beg; Shreyas Vasanawala; Brian A. Hargreaves; Christopher Ré; John M. Pauly; Akshay S. Chaudhari (MIDL, 2022)

GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction. - Batu Ozturkler; Arda Sahiner; Tolga Ergen; Arjun D. Desai; Christopher M. Sandino; Shreyas Vasanawala; John M. Pauly; Morteza Mardani; Mert Pilanci (CoRR, 2022)

Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning. - Jeffrey Dominic; Nandita Bhaskhar; Arjun D. Desai; Andrew M. Schmidt; Elka B. Rubin; Beliz Gunel; Garry E. Gold; Brian A. Hargreaves; Leon Lenchik; Robert Boutin; Akshay S. Chaudhari (CoRR, 2022)

Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks. - Dave Van Veen; Rogier van der Sluijs; Batu Ozturkler; Arjun D. Desai; Christian Bluethgen; Robert D. Boutin; Marc H. Willis; Gordon Wetzstein; David B. Lindell; Shreyas Vasanawala; John M. Pauly; Akshay S. Chaudhari (CoRR, 2022)

Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation. - Francesco Santini 002; Jakob Wasserthal; Abramo Agosti; Xeni Deligianni; Kevin R. Keene; Hermien E. Kan; Stefan Sommer; Christoph Stuprich; Fengdan Wang; Claudia Weidensteiner; Giulia Manco; Matteo Paoletti; et al. (CoRR, 2023)

Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography. - Louis Blankemeier; Arjun D. Desai; Juan Manuel Zambrano Chaves; Andrew Wentland; Sally Yao; Eduardo Pontes Reis; Malte E. K. Jensen; Bhanushree Bahl; Khushboo Arora; Bhavik N. Patel; Leon Lenchik; Marc H. Willis; et al. (CoRR, 2023)

Prospector Heads: Generalized Feature Attribution for Large Models & Data. - Gautam Machiraju; Alexander Derry; Arjun D. Desai; Neel Guha; Amir-Hossein Karimi; James Zou 001; Russ B. Altman; Christopher Ré; Parag Mallick (ICML, 2024)

Efficient Noise Calculation in Deep Learning-based MRI Reconstructions. - Onat Dalmaz; Arjun D. Desai; Reinhard Heckel; Tolga Çukur; Akshay S. Chaudhari; Brian A. Hargreaves (CoRR, 2025)