Publications by authors named "Arjun D Desai"

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Rapid and robust quantitative cartilage assessment for the clinical setting: deep learning-enhanced accelerated T2 mapping.
Laura Carretero-Gómez, Florian Wiesinger, Maggie Fung, Bruno Nunes, Valentina Pedoia, Arjun D Desai

Skeletal Radiol· September 2025

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Using deep feature distances for evaluating the perceptual quality of MR image reconstructions.
Philip M Adamson, Arjun D Desai, Jeffrey Dominic, Maya Varma, Christian Bluethgen

Magn Reson Med· July 2025

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T Clusters Are More Sensitive Than Mean T Change to Detect Early and Longitudinal Changes in Anterior Cruciate Ligament Reconstructed and Healthy Knees.
Anoosha Pai S, Anthony A Gatti, Marianne S Black, Katherine A Young, Arjun D Desai

J Magn Reson Imaging· June 2025

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Reproducibility of Quantitative Double-Echo Steady-State T Mapping of Knee Cartilage.
Ashley A Williams, Jessica L Asay, Daniella Asare, Arjun D Desai, Garry E Gold

J Magn Reson Imaging· February 2025

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Noise2Recon: Enabling SNR-robust MRI reconstruction with semi-supervised and self-supervised learning.
Arjun D Desai, Batu M Ozturkler, Christopher M Sandino, Robert Boutin, Marc Willis

Magn Reson Med· November 2023

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Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach.
Juan M Zambrano Chaves, Andrew L Wentland, Arjun D Desai, Imon Banerjee, Gurkiran Kaur

Sci Rep· November 2023

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Field inhomogeneity correction for qDESS mapping: application to rapid bilateral knee imaging.
Marco Barbieri, Lauren E Watkins, Valentina Mazzoli, Arjun D Desai, Elka Rubin

MAGMA· October 2023

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Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and MRI Relaxometry.
Andrew M Schmidt, Arjun D Desai, Lauren E Watkins, Hollis A Crowder, Marianne S Black

J Magn Reson Imaging· April 2023

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Towards Automatic Cartilage Quantification in Clinical Trials - Continuing from the 2019 IWOAI Knee Segmentation Challenge.
Erik B Dam, Arjun D Desai, Cem M Deniz, Haresh R Rajamohan, Ravinder Regatte

Osteoarthr Imaging· March 2023

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Improving Data-Efficiency and Robustness of Medical Imaging Segmentation Using Inpainting-Based Self-Supervised Learning.
Jeffrey Dominic, Nandita Bhaskhar, Arjun D Desai, Andrew Schmidt, Elka Rubin

Bioengineering (Basel)· February 2023

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Effects of the Competitive Season and Off-Season on Knee Articular Cartilage in Collegiate Basketball Players Using Quantitative MRI: A Multicenter Study.
Elka B Rubin, Valentina Mazzoli, Marianne S Black, Katherine Young, Arjun D Desai

J Magn Reson Imaging· September 2021

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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 Caliva, Claudia Iriondo, Aliasghar Mortazi, Sachin Jambawalikar

Radiol Artif Intell· May 2021

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Rapid volumetric gagCEST imaging of knee articular cartilage at 3 T: evaluation of improved dynamic range and an osteoarthritic population.
Lauren E Watkins, Elka B Rubin, Valentina Mazzoli, Scott D Uhlrich, Arjun D Desai

NMR Biomed· August 2020

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Utility of deep learning super-resolution in the context of osteoarthritis MRI biomarkers.
Akshay S Chaudhari, Kathryn J Stevens, Jeff P Wood, Amit K Chakraborty, Eric K Gibbons, Arjun D Desai

J Magn Reson Imaging· March 2020

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Open-source, machine and deep learning-based automated algorithm for gestational age estimation through smartphone lens imaging.
Arjun D Desai, Chunlei Peng, Leyuan Fang, Dibyendu Mukherjee, Andrew Yeung

Biomed Opt Express· December 2018

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