Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Dietrich Häger

Christof Häger

Frank Häger

Kirsten Häger

Achim Häger

Other publications of authors with the same name

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)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)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)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)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)

BibSonomy

Disambiguation of "Häger, Stephanie"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice 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

Dietrich Häger

Christof Häger

Frank Häger

Kirsten 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

Dietrich Häger

Christof Häger

Frank Häger

Kirsten Häger

Achim Häger

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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