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Disambiguation of "Desai, Arjun D."

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GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction.

, , , , , , , , and . CoRR, (2022)

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Rumana Desai-Hahn

Vasant Desai

Natvarlal Desai

Shashikant Desai

Renate Desai

 

Other publications of authors with the same name

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction., , , , , , and . MICCAI (6), volume 13436 of Lecture Notes in Computer Science, page 737-747. Springer, (2022)Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks., , , and . CoRR, (2019)Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning., , , , , , , , , and 1 other author(s). CoRR, (2022)Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography., , , , , , , , , and 4 other author(s). CoRR, (2023)Prospector Heads: Generalized Feature Attribution for Large Models & Data., , , , , , , , and . CoRR, (2024)SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation., , , , , , , , , and 2 other author(s). CoRR, (2022)The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset., , , , , , , , , and 19 other author(s). CoRR, (2020)Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks., , , , , , , , , and 2 other author(s). CoRR, (2022)GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction., , , , , , , , and . CoRR, (2022)SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation., , , , , , , , , and 2 other author(s). NeurIPS Datasets and Benchmarks, (2021)