Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning

Author(s)

• Alessa Hering
• Lasse Hansen
• Tony C. W. Mok
• Albert C. S. Chung
• Hanna Siebert
• Stephanie Häger
• Annkristin Lange
• Sven Kuckertz
• Stefan Heldmann
• Wei Shao
• Sulaiman Vesal
• Mirabela Rusu
• Geoffrey Sonn
• Théo Estienne
• Maria Vakalopoulou
• Luyi Han
• Yunzhi Huang
• Pew-Thian Yap
• Mikael Brudfors
• Yaël Balbastre
• Samuel Joutard
• Marc Modat
• Gal Lifshitz
• Dan Raviv
• Jinxin Lv
• Quang Li
• Vincent Jaouen
• Dimitris Visvikis
• Constance Fourcade
• Mathieu Rubeaux
• Wentao Pan
• Zhe Xu
• Bailiang Jian
• Francesca De Benetti
• Marek Wodzinski
• Niklas Gunnarsson
• Jens Sjölund
• Daniel Grzech
• Huaqi Qiu
• Zeju Li
• Alexander Thorley
• Jinming Duan
• Christoph Grossbröhmer
• Andrew Hoopes
• Ingerid Reinertsen
• Yiming Xiao
• Bennett Landman
• Yuankai Huo
• Keelin Murphy
• Nikolas Lessmann
• Bram van Ginneken
• Adrian V. Dalca
• Mattias P. Heinrich

Affiliation

• Radboud University
• University Lübeck
• Hong Kong University of Science and Technology
• Germany
• Stanford University
• University of Paris-Saclay
• Nanjing University of Information Science & Technology (NUIST)
• University of North Carolina at Chapel Hill
• United Kingdom
• Harvard Medical School
• King's College London
• Tel Aviv University
• Huazhong University of Science and Technology
• France
• Tsinghua University
• The Chinese University of Hong Kong
• Geneva School of Business Administration - University of Applied Sciences Western Switzerland
• Uppsala University
• Imperial College London
• University of Birmingham
• Massachusetts General Hospital
• SINTEF Digital / Health Research
• Concordia University
• Vanderbilt University

Issue

3

DOI

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