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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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Kirsten Häger

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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 and 43 other author(s). IEEE Trans. Medical Imaging, 42 (3): 697-712 (March 2023)Constraining Volume Change in Learned Image Registration for Lung CTs.A. Hering, S. Häger, J. Moltz, N. Lessmann, S. Heldmann, and B. van Ginneken. CoRR, (2020)Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge.S. Häger, S. Heldmann, A. Hering, S. Kuckertz, and A. Lange. MICCAI (Challenges), volume 12587 of Lecture Notes in Computer Science, page 74-79. Springer, (2020)Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn).S. Häger, A. Lange, S. Heldmann, J. Modersitzki, A. Petersik, M. Schröder, H. Gottschling, T. Lieth, E. Zähringer, and J. Moltz. Bildverarbeitung für die Medizin, page 69-74. Springer, (2022)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)CNN-based lung CT registration with multiple anatomical constraints.A. Hering, S. Häger, J. Moltz, N. Lessmann, S. Heldmann, and B. van Ginneken. Medical Image Anal., (2021)Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge.A. Hering, A. Lange, S. Heldmann, S. Häger, and S. Kuckertz. MIDOG/MOOD/Learn2Reg@MICCAI, volume 13166 of Lecture Notes in Computer Science, page 147-152. Springer, (2021)

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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

Kirsten Häger

Christof Häger

Frank Häger

Dietrich Häger

Achim Häger

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Häger, Stephanie"

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

Kirsten Häger

Christof Häger

Frank Häger

Dietrich Häger

Achim Häger

Other publications of authors with the same name

Disambiguation

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