Shreyas Fadnavis

Medicine · Health Sciences

10h-index639citations45works5.22yr avg
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Research Topics

Advanced Neuroimaging Techniques and Applications(20), Advanced MRI Techniques and Applications(10), MRI in cancer diagnosis(7), Brain Tumor Detection and Classification(5), Functional Brain Connectivity Studies(4)

Publications45 total

MEGAN: Mixture of Experts for Robust Uncertainty Estimation in Endoscopy Videos
arXiv (Cornell University)·2025Open Access
Multi-view fusion of diffusion MRI microstructural models: a preterm birth study
Frontiers in Neuroscience·2024Open Access
Parallelized Patch2Self & other denoising methods on 7T diffusion weighted imaging: comparisons of quality and effects on tractometry
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos
Lecture notes in computer science·2024· 1 cited
Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis
UNC Libraries·2024Open Access
Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos
arXiv (Cornell University)·2024Open Access
EVAC: Multi-scale V-Net with Deep Feature Conditional Random Field Layers for Brain Extraction
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
Patch2Self2: Self-Supervised Denoising on Coresets via Matrix Sketching
2024· 3 cited
754 ARGES: AN AI-CENTRIC TOOLBOX FOR IBD CLINICAL TRIAL RESEARCH AND DEVELOPMENT
Gastroenterology·2024
Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI
Frontiers in Radiology·2024Open Access
A Transthoracic Echocardiography (TTE) Based PH Detection Model Using View Agnostic Classifier
The Journal of Heart and Lung Transplantation·2024Open Access
Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis
Schizophrenia Bulletin·2024· 65 citedOpen Access
Multi-scale V-net architecture with deep feature CRF layers for brain extraction
Communications Medicine·2024· 7 citedOpen Access
Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos
Lecture notes in computer science·2024
EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension
Lecture notes in computer science·2024· 2 cited
Denoising Diffusion MRI with Self-supervised Learning on Coresets via Matrix Sketching
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2023
BundleAtlasing: unbiased population-specific atlasing of bundles in streamline space
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2023· 1 cited
EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain Extraction
Research Square (Research Square)·2023· 2 citedOpen Access
Data-driven characterization of Preterm Birth through intramodal Diffusion MRI
2023· 1 citedOpen Access
Metric scores used in <b>Multi-scale V-net architecture with deep feature CRF layers for brain extraction</b>
Figshare·2023Open Access
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Frequent Co-authors

Eleftherios Garyfallidis(24), Pablo F. Damasceno(10), Ariel Rokem(9), Bramsh Q. Chandio(7), Kurt G. Schilling(6), Chaitanya Parmar(6), Tommaso Mansi(6), Kristopher Standish(6), Joshua Batson(5), Pooya Mobadersany(5), Louis R. Ghanem(5), Ruben C. Gur(4), Raquel E. Gur(4), David R. Roalf(4), Anders Eklund(4), Bennett A. Landman(4), Maryam Afzali(4), Jong Sung Park(4), Krishna Chaitanya(4), Lindsey Surace(4)