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Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network.

J. Xu, M. Zhang, E. Turk, L. Zhang, P. Grant, K. Ying, P. Golland, and E. Adalsteinsson. MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 403-410. Springer, (2019)

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Xu Xu

Xianxiang Xu

Imaging findings of cerebral schistosomiasis in ChinaX. Xu. Uni Hamburg, (2010)

Yan Xu

Untersuchungen zur Verleimung von Holz und Holzspanplatten mit UF-Leimharzen und PMDIY. Xu. TU Braunschweig, (2009)

Jiangling Xu

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Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network.J. Xu, M. Zhang, E. Turk, L. Zhang, P. Grant, K. Ying, P. Golland, and E. Adalsteinsson. MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 403-410. Springer, (2019)3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network.J. Xu, M. Zhang, E. Turk, P. Grant, P. Golland, and E. Adalsteinsson. ASMUS/PIPPI@MICCAI, volume 12437 of Lecture Notes in Computer Science, page 201-210. Springer, (2020)SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI.J. Xu, D. Moyer, P. Grant, P. Golland, J. Iglesias, and E. Adalsteinsson. MICCAI (6), volume 13436 of Lecture Notes in Computer Science, page 3-13. Springer, (2022)Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on Anatomy.M. Zhang, J. Xu, E. Turk, P. Grant, P. Golland, and E. Adalsteinsson. MICCAI (6), volume 12266 of Lecture Notes in Computer Science, page 396-405. Springer, (2020)Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.Y. Liu, N. Karani, N. Dey, S. Abulnaga, J. Xu, P. Grant, E. Turk, and P. Golland. CoRR, (2023)Deformed2Self: Self-supervised Denoising for Dynamic Medical Imaging.J. Xu, and E. Adalsteinsson. MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 25-35. Springer, (2021)Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information.J. Xu, E. Gong, J. Ouyang, J. Pauly, and G. Zaharchuk. Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113131P. SPIE, (2020)Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space.M. Zhang, J. Xu, Y. Arefeen, and E. Adalsteinsson. MIDL, volume 227 of Proceedings of Machine Learning Research, page 1713-1725. PMLR, (2023)Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.Y. Liu, N. Karani, S. Abulnaga, J. Xu, P. Grant, E. Turk, and P. Golland. PIPPI@MICCAI, volume 14246 of Lecture Notes in Computer Science, page 77-87. Springer, (2023)STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning.J. Xu, E. Turk, P. Grant, P. Golland, and E. Adalsteinsson. MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 197-206. Springer, (2021)

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Disambiguation of "Xu, Junshen"

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Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network.

Please choose a person to relate this publication to

Xu Xu

Xu Xu

Xianxiang Xu

Yan Xu

Jiangling Xu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Xu, Junshen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network.

Please choose a person to relate this publication to

Xu Xu

Xu Xu

Xianxiang Xu

Yan Xu

Jiangling Xu

Other publications of authors with the same name

Disambiguation

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Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network.