Vishwesh Nath

发表

Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2019, Medical Imaging: Image Processing.

Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI

Carlo Pierpaoli, Baxter P. Rogers, Bennett A. Landman, 2020, bioRxiv.

Synthesized b0 for diffusion distortion correction (Synb0-DisCo).

Yuankai Huo, Susan M Resnick, Bennett A Landman, 2019, Magnetic resonance imaging.

Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE

Yuankai Huo, Prasanna Parvathaneni, Ilwoo Lyu, 2019, MICCAI.

Evaluation of inter-site bias and variance in diffusion-weighted MRI

Prasanna Parvathaneni, Baxter P. Rogers, Bennett A. Landman, 2018, Medical Imaging.

Limits to anatomical accuracy of diffusion tractography using modern approaches

Peter F. Neher, Prasanna Parvathaneni, Yonggang Shi, 2018, NeuroImage.

Comparison of multi-fiber reproducibility of PAS-MRI and Q-ball with empirical multiple b-value HARDI

Bennett A. Landman, Vishwesh Nath, Zhaohua Ding, 2017, Medical Imaging.

Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution pdf

Camilo Bermudez, Prasanna Parvathaneni, Andrew J. Plassard, 2019, ArXiv.

High-resolution 3D abdominal segmentation with random patch network fusion

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2020, Medical Image Anal..

Empirical reproducibility, sensitivity, and optimization of acquisition protocol, for Neurite Orientation Dispersion and Density Imaging using AMICO.

Prasanna Parvathaneni, Bennett A Landman, Vishwesh Nath, 2018, Magnetic resonance imaging.

Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators

Camilo Bermudez, Yuankai Huo, Prasanna Parvathaneni, 2019, Medical Imaging: Image Processing.

Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI

Carlo Pierpaoli, Baxter P. Rogers, Bennett A. Landman, 2020, bioRxiv.

Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation

Daguang Xu, Bennett A Landman, Vishwesh Nath, 2020, IEEE Transactions on Medical Imaging.

Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI

Bennett A. Landman, Vishwesh Nath, Kurt G. Schilling, 2020, Medical Imaging: Image Processing.

Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning pdf

Camilo Bermudez, Prasanna Parvathaneni, Ilwoo Lyu, 2018, Lecture notes-monograph series.

The Value of Nullspace Tuning Using Partial Label Information pdf

Bennett A. Landman, Vishwesh Nath, Yuankai Huo, 2020, ArXiv.

A fiber coherence index for quality control of B-table orientation in diffusion MRI scans.

Bennett A Landman, Fang-Cheng Yeh, Vishwesh Nath, 2019, Magnetic resonance imaging.

Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI

Prasanna Parvathaneni, Bennett A Landman, Vishwesh Nath, 2018, Journal of medical imaging.

PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images

Qi Yang, Benjamin N. Conrad, Baxter P. Rogers, 2020 .

Cortical Surface Parcellation Using Spherical Convolutional Neural Networks

Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni, 2019, MICCAI.

Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury

Snehashis Roy, Camilo Bermudez, Bennett A. Landman, 2019, Medical Imaging: Image Processing.

Towards Portable Large-Scale Image Processing with High-Performance Computing

Shunxing Bao, Prasanna Parvathaneni, Ilwoo Lyu, 2018, Journal of Digital Imaging.

Improved gray matter surface based spatial statistics in neuroimaging studies.

Yuankai Huo, Prasanna Parvathaneni, Ilwoo Lyu, 2019, Magnetic resonance imaging.

SHARD: spherical harmonic-based robust outlier detection for HARDI methods

Prasanna Parvathaneni, Ilwoo Lyu, Baxter P. Rogers, 2018, Medical Imaging.

Limits to anatomical accuracy of diffusion tractography using modern approaches

Peter F. Neher, Carl-Fredrik Westin, Ragini Verma, 2018 .

Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI.

Bennett A Landman, Carlo Pierpaoli, Vishwesh Nath, 2020, Magnetic resonance imaging.

Tractography Reproducibility Challenge with Empirical Data (TraCED): The 2017 ISMRM Diffusion Study Group Challenge

Peter F. Neher, Arthur W. Toga, Ragini Verma, 2018, bioRxiv.

Semi-supervised Machine Learning with MixMatch and Equivalence Classes

Camilo Bermudez, Bennett A. Landman, Vishwesh Nath, 2020, iMIMIC/MIL3iD/LABELS@MICCAI.

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

Christophe Lenglet, Vince D. Calhoun, Chun-Hung Yeh, 2020, NeuroImage.

Improving human cortical sulcal curve labeling in large scale cross-sectional MRI using deep neural networks

Yuankai Huo, Prasanna Parvathaneni, Maureen McHugo, 2019, Journal of Neuroscience Methods.

Learning 3D White Matter Microstructure from 2D Histology

Yuankai Huo, Bennett A. Landman, Vishwesh Nath, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Effects of b-value and number of gradient directions on diffusion MRI measures obtained with Q-ball imaging

Bennett A. Landman, Vishwesh Nath, Zhaohua Ding, 2017, Medical Imaging.

Consideration of cerebrospinal fluid intensity variation in diffusion weighted MRI

Prasanna Parvathaneni, Carlo Pierpaoli, Baxter P. Rogers, 2019, Medical Imaging.

Tractography reproducibility challenge with empirical data (TraCED): The 2017 ISMRM diffusion study group challenge

Jean-Philippe Thiran, Ragini Verma, Yuankai Huo, 2019, Journal of magnetic resonance imaging : JMRI.

Challenges in diffusion MRI tractography - Lessons learned from international benchmark competitions.

Bennett A Landman, Vishwesh Nath, Cyril Poupon, 2019, Magnetic resonance imaging.

The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation pdf

Daguang Xu, Holger Roth, Vishwesh Nath, 2021, MICCAI.

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

Jean-Philippe Thiran, Christophe Lenglet, Maxime Descoteaux, 2021, NeuroImage.

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

Holger Roth, Vishwesh Nath, Daguang Xu, 2022, BrainLes@MICCAI.

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis pdf

Holger Roth, Vishwesh Nath, Ali Hatamizadeh, 2021, ArXiv.

Body Part Regression With Self-Supervision

Shunxing Bao, Camilo Bermudez, Yuankai Huo, 2021, IEEE Transactions on Medical Imaging.

Computational Diffusion MRI

Vishwesh Nath, Marco Palombo, Marco Pizzolato, 2019, Mathematics and Visualization.

Empirical Estimation of Intra-Voxel Structure with Persistent Angular Structure and Q-ball Models of Diffusion Weighted MRI

Vishwesh Nath, V. Nath, Nina Watson, 2022 .

A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging.

Prasanna Parvathaneni, Bennett A Landman, Vishwesh Nath, 2019, Magnetic resonance imaging.

Empirical consideration of the effects of acquisition parameters and analysis model on clinically feasible q-ball imaging.

Prasanna Parvathaneni, Bennett A Landman, Vishwesh Nath, 2017, Magnetic resonance imaging.