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Effective hyperparameter optimization with proxy data for multi-organ segmentation.

C. Shen, H. Roth, V. Nath, Y. Hayashi, M. Oda, K. Misawa, and K. Mori. Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)

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Martina Nath

Richa Nath

Jens Näth

Miriam Nath

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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)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)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)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)A Unified 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. CDMRI@MICCAI, volume 14328 of Lecture Notes in Computer Science, page 13-22. Springer, (2023)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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Effective hyperparameter optimization with proxy data for multi-organ segmentation.

Please choose a person to relate this publication to

Martina Nath

Richa Nath

Jens Näth

Miriam Nath

Miriam 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 Effective hyperparameter optimization with proxy data for multi-organ segmentation.

Please choose a person to relate this publication to

Martina Nath

Richa Nath

Jens Näth

Miriam Nath

Miriam Nath

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
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Effective hyperparameter optimization with proxy data for multi-organ segmentation.