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Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.

A. Hering, L. Hansen, T. Mok, A. Chung, H. Siebert, S. Häger, A. Lange, S. Kuckertz, S. Heldmann, W. Shao, S. Vesal, M. Rusu, G. Sonn, T. Estienne, M. Vakalopoulou, L. Han, Y. Huang, M. Brudfors, Y. Balbastre, S. Joutard, M. Modat, G. Lifshitz, D. Raviv, J. Lv, Q. Li, V. Jaouen, D. Visvikis, C. Fourcade, M. Rubeaux, W. Pan, Z. Xu, B. Jian, F. Benetti, M. Wodzinski, N. Gunnarsson, H. Qiu, Z. Li, C. Großbröhmer, A. Hoopes, I. Reinertsen, Y. Xiao, B. Landman, Y. Huo, K. Murphy, B. van Ginneken, A. Dalca, and M. Heinrich. CoRR, (2021)

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C W Strüder

Mohamed Ahmed Tony Ahmed Marzok

Hans-Peter Tony

Christian C W Grovermann

Stefan C W Krauter

Other publications of authors with the same name

3D Randomized Connection Network With Graph-Based Label Inference.S. Bao, P. Wang, T. Mok, and A. Chung. IEEE Trans. Image Process., 27 (8): 3883-3892 (2018)Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization.T. Mok, Z. Li, Y. Xia, J. Yao, L. Zhang, J. Zhou, and L. Lu. MLMI@MICCAI (1), volume 14348 of Lecture Notes in Computer Science, page 126-136. Springer, (2023)Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.A. Hering, L. Hansen, T. Mok, A. Chung, H. Siebert, S. Häger, A. Lange, S. Kuckertz, S. Heldmann, W. Shao and 37 other author(s). CoRR, (2021)Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test Phase.Z. He, T. Mok, and A. Chung. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, volume 14394 of Lecture Notes in Computer Science, page 286-298. Springer, (2023)Large Deformation Image Registration with Anatomy-Aware Laplacian Pyramid Networks.T. Mok, and A. Chung. MICCAI (Challenges), volume 12587 of Lecture Notes in Computer Science, page 61-67. Springer, (2020)Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks.T. Mok, and A. Chung. CVPR, page 4643-4652. Computer Vision Foundation / IEEE, (2020)Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images.X. Bai, F. Bai, X. Huo, J. Ge, T. Mok, Z. Li, M. Xu, J. Zhou, L. Lu, D. Jin and 3 other author(s). CoRR, (2023)Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration.T. Mok, Z. Li, Y. Bai, J. Zhang, W. Liu, Y. Zhou, K. Yan, D. Jin, Y. Shi, X. Yin and 2 other author(s). CoRR, (2024)Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks.T. Mok, and A. Chung. MICCAI (3), volume 12263 of Lecture Notes in Computer Science, page 211-221. Springer, (2020)Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.A. Hering, L. Hansen, T. Mok, A. Chung, H. Siebert, S. Häger, A. Lange, S. Kuckertz, S. Heldmann, W. Shao and 43 other author(s). IEEE Trans. Medical Imaging, 42 (3): 697-712 (March 2023)

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Disambiguation of "Mok, Tony C. W."

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Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.

Please choose a person to relate this publication to

C W Strüder

Mohamed Ahmed Tony Ahmed Marzok

Hans-Peter Tony

Christian C W Grovermann

Stefan C W Krauter

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mok, Tony C. W."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.

Please choose a person to relate this publication to

C W Strüder

Mohamed Ahmed Tony Ahmed Marzok

Hans-Peter Tony

Christian C W Grovermann

Stefan C W Krauter

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
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Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.