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Vishwesh Nath

Showing results (1-10 of 49) with videos related to

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IEEE Transactions on Medical Imaging|December 29, 2020
Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image SegmentationVishwesh Nath, Dong Yang, Bennett A Landman, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 17, 2021
Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRIVishwesh Nath, Sudhir K Pathak, Kurt G Schilling, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 25, 2017
Comparison of Multi-Fiber Reproducibility of PAS-MRI and Q-ball With Empirical Multiple b-Value HARDIVishwesh Nath, Kurt G Schilling, Justin A Blaber, et al.
Magnetic Resonance Imaging|April 26, 2017
Empirical consideration of the effects of acquisition parameters and analysis model on clinically feasible q-ball imagingKurt G Schilling, Vishwesh Nath, Justin A Blaber, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 29, 2017
Effects of b-Value and Number of Gradient Directions on Diffusion MRI Measures Obtained with Q-ball ImagingKurt G Schilling, Vishwesh Nath, Justin Blaber, et al.
Magnetic Resonance Imaging|March 28, 2022
VRfRNet: Volumetric ROI fODF reconstruction network for estimation of multi-tissue constrained spherical deconvolution with only single shell dMRIRanjeet Ranjan Jha, Sudhir K Pathak, Vishwesh Nath, et al.
Journal of Neuroscience Methods|June 16, 2019
Improving human cortical sulcal curve labeling in large scale cross-sectional MRI using deep neural networksPrasanna Parvathaneni, Vishwesh Nath, Maureen McHugo, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 14, 2018
Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRIVishwesh Nath, Kurt G Schilling, Prasanna Parvathaneni, et al.
Computational Diffusion MRI. CDMRI (Workshop)|December 1, 2025
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRITianyuan Yao, Nancy Newlin, Praitayini Kanakaraj, et al.
IS&T International Symposium on Electronic Imaging|December 1, 2025
mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image AnalysisQuan Liu, Ruining Deng, Can Cui, et al.
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
IEEE Transactions on Medical Imaging|December 29, 2020
Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image SegmentationVishwesh Nath, Dong Yang, Bennett A Landman, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 17, 2021
Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRIVishwesh Nath, Sudhir K Pathak, Kurt G Schilling, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 25, 2017
Comparison of Multi-Fiber Reproducibility of PAS-MRI and Q-ball With Empirical Multiple b-Value HARDIVishwesh Nath, Kurt G Schilling, Justin A Blaber, et al.
Magnetic Resonance Imaging|April 26, 2017
Empirical consideration of the effects of acquisition parameters and analysis model on clinically feasible q-ball imagingKurt G Schilling, Vishwesh Nath, Justin A Blaber, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 29, 2017
Effects of b-Value and Number of Gradient Directions on Diffusion MRI Measures Obtained with Q-ball ImagingKurt G Schilling, Vishwesh Nath, Justin Blaber, et al.
Magnetic Resonance Imaging|March 28, 2022
VRfRNet: Volumetric ROI fODF reconstruction network for estimation of multi-tissue constrained spherical deconvolution with only single shell dMRIRanjeet Ranjan Jha, Sudhir K Pathak, Vishwesh Nath, et al.
Journal of Neuroscience Methods|June 16, 2019
Improving human cortical sulcal curve labeling in large scale cross-sectional MRI using deep neural networksPrasanna Parvathaneni, Vishwesh Nath, Maureen McHugo, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 14, 2018
Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRIVishwesh Nath, Kurt G Schilling, Prasanna Parvathaneni, et al.
Computational Diffusion MRI. CDMRI (Workshop)|December 1, 2025
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRITianyuan Yao, Nancy Newlin, Praitayini Kanakaraj, et al.
IS&T International Symposium on Electronic Imaging|December 1, 2025
mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image AnalysisQuan Liu, Ruining Deng, Can Cui, et al.
Pageof 5