Vishwesh Nath

Orcid: 0000-0002-6840-6205

According to our database1, Vishwesh Nath authored at least 44 papers between 2017 and 2023.

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

Timeline

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Bibliography

2023
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.
CoRR, 2023

Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI.
CoRR, 2023

A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI.
CoRR, 2023

Deep constrained spherical deconvolution for robust harmonization.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI.
Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023

DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Fair Federated Medical Image Segmentation via Client Contribution Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
MONAI: An open-source framework for deep learning in healthcare.
CoRR, 2022

Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning.
CoRR, 2022

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images.
CoRR, 2022

UNETR: Transformers for 3D Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Effective hyperparameter optimization with proxy data for multi-organ segmentation.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Body Part Regression With Self-Supervision.
IEEE Trans. Medical Imaging, 2021

Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
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NeuroImage, 2021

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

High-resolution 3D abdominal segmentation with random patch network fusion.
Medical Image Anal., 2021

The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
The Value of Nullspace Tuning Using Partial Label Information.
CoRR, 2020

Deep learning estimation of multi-tissue constrained spherical deconvolution with limited single shell DW-MRI.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Semi-supervised Machine Learning with MixMatch and Equivalence Classes.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019
Limits to anatomical accuracy of diffusion tractography using modern approaches.
NeuroImage, 2019

Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution.
CoRR, 2019

Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE.
CoRR, 2019

Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Cortical Surface Parcellation Using Spherical Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Enabling Multi-shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning 3D White Matter Microstructure from 2D Histology.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Towards Portable Large-Scale Image Processing with High-Performance Computing.
J. Digit. Imaging, 2018

Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning.
CoRR, 2018

SHARD: spherical harmonic-based robust outlier detection for HARDI methods.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Evaluation of inter-site bias and variance in diffusion-weighted MRI.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

2017
Effects of b-value and number of gradient directions on diffusion MRI measures obtained with Q-ball imaging.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Comparison of multi-fiber reproducibility of PAS-MRI and Q-ball with empirical multiple b-value HARDI.
Proceedings of the Medical Imaging 2017: Image Processing, 2017


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