Fitting IVIM with Variable Projection and Simplicial Optimization. - Shreyas Fadnavis; Hamza Farooq; Maryam Afzali; Christophe Lenglet; Tryphon T. Georgiou; Hu Cheng; Sharlene D. Newman; Shahnawaz Ahmed; Rafael Neto Henriques; Eric Peterson; Serge Koudoro; Ariel Rokem; et al. (CoRR, 2019)

Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​. - Shreyas Fadnavis; Joshua Batson; Eleftherios Garyfallidis (NeurIPS, 2020)

ThetA - fast and robust clustering via a distance parameter. - Eleftherios Garyfallidis; Shreyas Fadnavis; Jong Sung Park; Bramsh Qamar Chandio; Javier Guaje; Serge Koudoro; Nasim Anousheh (CoRR, 2021)

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. - Alberto De Luca; Andrada Ianus; Alexander Leemans; Marco Palombo; Noam Shemesh; Hui Zhang 005; Daniel C. Alexander; Markus Nilsson; Martijn Froeling; Geert Jan Biessels; Mauro Zucchelli; Matteo Frigo; et al. (NeuroImage, 2021)

Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography. - Colin B. Hansen; Qi Yang 004; Ilwoo Lyu; Francois Rheault; Cailey I. Kerley; Bramsh Qamar Chandio; Shreyas Fadnavis; Owen A. Williams; Andrea T. Shafer; Susan M. Resnick; David H. Zald; Laurie E. Cutting; et al. (Neuroinformatics, 2021)

NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification. - Shreyas Fadnavis; Jens Sjölund; Anders Eklund 002; Eleftherios Garyfallidis (CoRR, 2022)

EVC-Net: Multi-scale V-Net with Conditional Random Fields for Brain Extraction. - Jong Sung Park; Shreyas Fadnavis; Eleftherios Garyfallidis (CoRR, 2022)

PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization. - Shreyas Fadnavis; Amit Dhurandhar; Raquel Norel; Jenna M. Reinen; Carla Agurto; Erica Secchettin; Vittorio Schweiger; Giovanni Perini; Guillermo A. Cecchi (CoRR, 2022)

Denoising of diffusion MRI in the cervical spinal cord - effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity. - Kurt G. Schilling; Shreyas Fadnavis; Joshua Batson; Mereze Visagie; Anna J. E. Combes; Samantha By; Colin D. Mcknight; Francesca Bagnato; Eleftherios Garyfallidis; Bennett A. Landman; Seth A. Smith; Kristin P. O'Grady (NeuroImage, 2023)

Patch2Self2: Self-Supervised Denoising on Coresets via Matrix Sketching. - Shreyas Fadnavis; Agniva Chowdhury; Joshua Batson; Petros Drineas; Eleftherios Garyfallidis (CVPR, 2024)

EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension. - Shreyas Fadnavis; Chaitanya Parmar; Nastaran Emaminejad; Alvaro Ulloa Cerna; Areez Malik; Mona Selej; Tommaso Mansi; Preston Dunnmon; Tarik Yardibi; Kristopher Standish; Pablo F. Damasceno (MICCAI (1), 2024)

Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos. - Pooya Mobadersany; Chaitanya Parmar; Pablo F. Damasceno; Shreyas Fadnavis; Krishna Chaitanya; Shilong Li; Evan Schwab; Jaclyn Xiao; Lindsey Surace; Tommaso Mansi; Gabriela Oana Cula; Louis Ghanem; et al. (MICCAI (6), 2024)

Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos. - Krishna Chaitanya; Pablo F. Damasceno; Shreyas Fadnavis; Pooya Mobadersany; Chaitanya Parmar; Emily Scherer; Natalia Zemlianskaia; Lindsey Surace; Louis Ghanem; Gabriela Oana Cula; Tommaso Mansi; Kristopher Standish (MLMI@MICCAI (2), 2024)