Vishwesh Nath

Vishwesh Nath

Vanderbilt University

H-index: 21

North America-United States

About Vishwesh Nath

Vishwesh Nath, With an exceptional h-index of 21 and a recent h-index of 21 (since 2020), a distinguished researcher at Vanderbilt University, specializes in the field of Medical Image Analysis, Image Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imaging

IR-FRestormer: Iterative Refinement With Fourier-Based Restormer for Accelerated MRI Reconstruction

Correction to: COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation

Swinunetr-v2: Stronger swin transformers with stagewise convolutions for 3d medical image segmentation

DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation

COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training

Deep constrained spherical deconvolution for robust harmonization

Vishwesh Nath Information

University

Position

___

Citations(all)

3181

Citations(since 2020)

3168

Cited By

332

hIndex(all)

21

hIndex(since 2020)

21

i10Index(all)

33

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Vishwesh Nath Skills & Research Interests

Medical Image Analysis

Image Processing

Machine Learning

Top articles of Vishwesh Nath

Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imaging

Journal of Medical Imaging

2024/1/1

IR-FRestormer: Iterative Refinement With Fourier-Based Restormer for Accelerated MRI Reconstruction

2024

Correction to: COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation

2023/10/8

Swinunetr-v2: Stronger swin transformers with stagewise convolutions for 3d medical image segmentation

2023/10/1

DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation

2023/10/1

COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation

2023/10/1

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training

arXiv preprint arXiv:2307.16896

2023/7/31

Deep constrained spherical deconvolution for robust harmonization

2023/4/3

Volumetric image annotation using one or more neural networks

2023/2/2

Fair federated medical image segmentation via client contribution estimation

2023

Communication-efficient vertical federated learning with limited overlapping samples

Algorithms

2022/8/4

A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI

2023/10/8

Warm start active learning with proxy labels and selection via semi-supervised fine-tuning

2022/9/16

Vishwesh Nath
Vishwesh Nath

H-Index: 8

Dong Yang
Dong Yang

H-Index: 11

VRfRNet: Volumetric ROI fODF reconstruction network for estimation of multi-tissue constrained spherical deconvolution with only single shell dMRI

Magnetic Resonance Imaging

2022/7/1

Effective hyperparameter optimization with proxy data for multi-organ segmentation

2022/4/4

Hypersegnas: Bridging one-shot neural architecture search with 3d medical image segmentation using hypernet

2022

Self-supervised pre-training of swin transformers for 3d medical image analysis

2022

See List of Professors in Vishwesh Nath University(Vanderbilt University)

Co-Authors

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