Nath, Vishwesh

UNETR: Transformers for 3D Medical Image Segmentation

Hatamizadeh, A., Tang, Y., Nath, V., Yang, D., Myronenko, A., Landman, B., Roth, H. R., & Xu, D. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 3,586

UNETR: Transformers for 3D Medical Image Segmentation

Hatamizadeh, A., Tang, Y., Nath, V., Yang, D., Myronenko, A., Landman, B., Roth, H., & Xu, D. (2021) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 3,580

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

Hatamizadeh, A., Nath, V., Tang, Y., Yang, D., Roth, H. R., & Xu, D. (2022) · Lecture Notes in Computer Science

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 2,273

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

Tang, Y., Yang, D., Li, W., Roth, H. R., Landman, B., Xu, D., Nath, V., & Hatamizadeh, A. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 849

Limits to anatomical accuracy of diffusion tractography using modern approaches

Schilling, K. G., Nath, V., Hansen, C., Parvathaneni, P., Blaber, J., Gao, Y., Neher, P., Aydogan, D. B., Shi, Y., Ocampo-Pineda, M., et al. (2019) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 260

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

Schilling, K. G., Rheault, F., Petit, L., Hansen, C. B., Nath, V., Yeh, F.-C., Girard, G., Barakovic, M., Rafael-Patino, J., Yu, T., et al. (2021) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 182

Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning

Huo, Y., Terry, J. G., Wang, J., Nath, V., Bermudez, C., Bao, S., Parvathaneni, P., Carr, J. J., & Landman, B. A. (2019) · Medical Imaging 2019: Image Processing

Cardiac Imaging and DiagnosticsCOVID-19 diagnosis using AI

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