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

A. Hainline, V. Nath, P. Parvathaneni, J. Blaber, B. Rogers, A. Newton, J. Luci, H. Edmonson, H. Kang, and B. Landman. Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 1057413. SPIE, (2018)

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Martina Nath

Jens Näth

Miriam Nath

Richa Nath

Karl Nath

Other publications of authors with the same name

Comparison of multi-fiber reproducibility of PAS-MRI and Q-ball with empirical multiple b-value HARDI.V. Nath, K. Schilling, J. Blaber, Z. Ding, A. Anderson, and B. Landman. Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101330L. SPIE, (2017)A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI.T. Yao, N. Newlin, P. Kanakaraj, V. Nath, L. Cai, K. Ramadass, K. Schilling, B. Landman, and Y. Huo. CoRR, (2023)HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet.C. Peng, A. Myronenko, A. Hatamizadeh, V. Nath, M. Siddiquee, Y. He, D. Xu, R. Chellappa, and D. Yang. CoRR, (2021)MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images.A. Diaz-Pinto, S. Alle, A. Ihsani, M. Asad, V. Nath, F. Pérez-García, P. Mehta, W. Li, H. Roth, T. Vercauteren and 5 other author(s). CoRR, (2022)Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation.V. Nath, D. Yang, B. Landman, D. Xu, and H. Roth. CoRR, (2021)DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.A. Diaz-Pinto, P. Mehta, S. Alle, M. Asad, R. Brown, V. Nath, A. Ihsani, M. Antonelli, D. Palkovics, C. Pinter and 10 other author(s). CoRR, (2023)Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis.Y. Tang, D. Yang, W. Li, H. Roth, B. Landman, D. Xu, V. Nath, and A. Hatamizadeh. CoRR, (2021)Learning 3D White Matter Microstructure from 2D Histology.V. Nath, K. Schilling, S. Remedios, R. Bayrak, Y. Gao, J. Blaber, Y. Huo, B. Landman, and A. Anderson. ISBI, page 186-190. IEEE, (2019)The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation.V. Nath, D. Yang, A. Hatamizadeh, A. Abidin, A. Myronenko, H. Roth, and D. Xu. MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 456-465. Springer, (2021)Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning.V. Nath, D. Yang, H. Roth, and D. Xu. MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 297-308. Springer, (2022)

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Disambiguation of "Nath, Vishwesh"

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

Please choose a person to relate this publication to

Martina Nath

Jens Näth

Miriam Nath

Richa Nath

Karl Nath

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Nath, Vishwesh"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Evaluation of inter-site bias and variance in diffusion-weighted MRI.

Please choose a person to relate this publication to

Martina Nath

Jens Näth

Miriam Nath

Richa Nath

Karl Nath

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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MSOffice XML

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