activity
20192022
most citedPatch2Self: Denoising Diffusion MRI with Self-Supervised Learning

40 citations · 50 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20221 cited

PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization

Shreyas Fadnavis, Amit Dhurandhar, Raquel Norel +6

Chronic pain is a pervasive disorder which is often very disabling and is associated with comorbidities such as depression and anxiety. Neuropathic Pain (NP) is a common sub-type w…

eess.IV20223 cited

NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification

Shreyas Fadnavis, Jens Sjölund, Anders Eklund +1

Diffusion MRI (dMRI) is the only non-invasive technique sensitive to tissue micro-architecture, which can, in turn, be used to reconstruct tissue microstructure and white matter pa…

cs.LG20211 cited

ThetA -- fast and robust clustering via a distance parameter

Eleftherios Garyfallidis, Shreyas Fadnavis, Jong Sung Park +4

Clustering is a fundamental problem in machine learning where distance-based approaches have dominated the field for many decades. This set of problems is often tackled by partitio…

cs.LG202040 cited

Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning

Shreyas Fadnavis, Joshua Batson, Eleftherios Garyfallidis

Diffusion-weighted magnetic resonance imaging (DWI) is the only noninvasive method for quantifying microstructure and reconstructing white-matter pathways in the living human brain…

eess.IV20195 cited

Fitting IVIM with Variable Projection and Simplicial Optimization

Shreyas Fadnavis, Hamza Farooq, Maryam Afzali +10

Fitting multi-exponential models to Diffusion MRI (dMRI) data has always been challenging due to various underlying complexities. In this work, we introduce a novel and robust fitt…