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Arjun D. Desai

Researcher at Stanford University

Publications -  34
Citations -  279

Arjun D. Desai is an academic researcher from Stanford University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 6, co-authored 17 publications receiving 131 citations. Previous affiliations of Arjun D. Desai include Duke University.

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Utility of deep learning super-resolution in the context of osteoarthritis MRI biomarkers.

TL;DR: This work has shown that super‐resolution is an emerging method for enhancing MRI resolution and its impact on image quality is still unknown.
Posted Content

Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks.

TL;DR: The impact of three factors associated with CNN segmentation performance: network architecture, training loss functions, and training data characteristics are evaluated and potential modifications to CNN architectures and training protocols are proposed.
Journal ArticleDOI

SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation

TL;DR: The Stanford Knee MRI with Multi-Task Evaluation (SKM-TEA) dataset is presented, a collection of quantitative knee MRI (qMRI) scans that enables end-to-end, clinically-relevant evaluation of MRI reconstruction and analysis tools and a framework for using qMRI parameter maps, along with image reconstructions and dense image labels, for measuring the quality of qMRI biomarker estimates extracted from MRI reconstruction, segmentation, and detection techniques.