Shreyas Fadnavis

According to our database1, Shreyas Fadnavis authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Patch2Self2: Self-Supervised Denoising on Coresets via Matrix Sketching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Denoising of diffusion MRI in the cervical spinal cord - effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity.
NeuroImage, 2023

2022
PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization.
CoRR, 2022

EVC-Net: Multi-scale V-Net with Conditional Random Fields for Brain Extraction.
CoRR, 2022

NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification.
CoRR, 2022

2021
Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography.
Neuroinformatics, 2021

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge.
NeuroImage, 2021

ThetA - fast and robust clustering via a distance parameter.
CoRR, 2021

2020
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Fitting IVIM with Variable Projection and Simplicial Optimization.
CoRR, 2019


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