The People Behind Learn2Reg
Learn2Reg is shaped by an international community of researchers, clinicians, and technical contributors who share a commitment to advancing biomedical image registration. From its beginnings as a MICCAI tutorial to successive international challenges, its progress reflects the collective efforts of many individuals and institutions.
This page recognizes the researchers coordinating current activities, the founding organizers, and the many contributors who have shaped Learn2Reg through the years.
Leadership Team
Junyu Chen
Johns Hopkins University
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M. Faizyab A. Chaudhary
Johns Hopkins University
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Shuwen Wei
Johns Hopkins University
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Lianrui Zuo
Vanderbilt University
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Yihao Liu
Vanderbilt University
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Aaron Carass
Johns Hopkins University
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Founding Committee
Learn2Reg traces its origins to the 2019 MICCAI tutorial on deep learning in medical image registration. The original organizing committee brought together expertise in registration theory, machine learning, and practical implementation, laying the groundwork for the international challenge series that followed.
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Adrian V. Dalca
Massachusetts Institute of Technology; Massachusetts General Hospital, Harvard Medical School
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Mattias P. Heinrich
University of Lübeck
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Yipeng Hu
University College London
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Tom Vercauteren
King’s College London
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Contributions Through the Years
Learn2Reg’s progress has depended on successive generations of challenge organizers, scientific collaborators, dataset teams, and technical contributors. We gratefully recognize the researchers credited in the records below.
2026 — Learn2Reg Challenge
The 2026 organizing team brings together researchers with expertise in biomedical image registration, clinical imaging, evaluation, and challenge development.
- Adam Alessio — Michigan State University
- Harrison Bai — University of Colorado Anschutz
- Aaron Carass — Johns Hopkins University
- M. Faizyab A. Chaudhary — Johns Hopkins University
- Junyu Chen — Johns Hopkins University
- Gary E. Christensen — University of Iowa
- Yong Du — Johns Hopkins University
- Sarah E. Gerard — University of Iowa
- Alessa Hering — Radboud University Medical Center
- Yihao Liu — Vanderbilt University
- Joseph M. Reinhardt — University of Iowa
- Jing Tang — University of Cincinnati
- Shuwen Wei — Johns Hopkins University
- Lianrui Zuo — Vanderbilt University
2025 — LUMIR & ReMIND2Reg
The 2025 challenge continued the LUMIR and ReMIND2Reg benchmarks, extending research on brain registration and clinically relevant multimodal alignment.
- Junyu Chen — Johns Hopkins University
- Yihao Liu — Vanderbilt University
- Shuwen Wei — Johns Hopkins University
- Harrison Bai — Johns Hopkins University
- Aaron Carass — Johns Hopkins University
- Mattias P. Heinrich — University of Lübeck
- Reuben Dorent — Inria
- Olivier Colliot — Inria
- William M. “Sandy” Wells — Harvard University
- Alexandra Golby — Harvard University
2024 — Expanding Research Horizons
The 2024 meta-challenge brought together LUMIR, ReMIND2Reg, and COMULISglobe, expanding Learn2Reg across brain imaging, intraoperative registration, and microscopy.
- Reuben Dorent — Harvard Medical School
- Tina Kapur — Harvard Medical School
- William M. “Sandy” Wells — Harvard Medical School
- Alexandra Golby — Harvard Medical School
- Wiebke Heyer — University of Lübeck
- Junyu Chen — Johns Hopkins University
- Yihao Liu — Johns Hopkins University
- Mattias P. Heinrich — University of Lübeck
- Andreas Walter — Aalen University
- Joakim Lindblad — Uppsala University
- Nataša Sladoje — Uppsala University
- Perrine Paul-Gilloteaux — Nantes Université
- Lasse Hansen — echoscout.ai
- Marie-Charlotte Domart — The Francis Crick Institute
- Lucy Collinson — The Francis Crick Institute
- Martin Jones — The Francis Crick Institute
2023 — Advancing Clinical Registration
The 2023 edition emphasized clinically relevant registration challenges, including longitudinal lung imaging and thoracic cone-beam CT.
- Mattias P. Heinrich — University of Lübeck
- Malte Sieren — University Hospital Schleswig-Holstein
- Christoph Großbröhmer — University of Lübeck
- Alessa Hering — Radboud University Medical Center; Fraunhofer MEVIS
2022 — Broadening Evaluation
The 2022 edition expanded registration evaluation and explored challenges in self-configuring registration methods.
- Mattias P. Heinrich — University of Lübeck
- Lasse Hansen — University of Lübeck
- Alessa Hering — Radboud University Medical Center; Fraunhofer MEVIS
- Christoph Großbröhmer — University of Lübeck
2021 — Establishing Multi-Task Benchmarks
Learn2Reg continued developing standardized evaluations across abdominal CT/MR, respiratory lung CT, and whole-brain MRI registration.
- Mattias P. Heinrich — University of Lübeck
- Adrian V. Dalca — Massachusetts Institute of Technology
- Lasse Hansen — University of Lübeck
- Alessa Hering — Fraunhofer MEVIS
- Bennett Landman — Vanderbilt University
- Keelin Murphy — Radboud University Medical Center
- Bram van Ginneken — Radboud University Medical Center
2020 — The First Learn2Reg Challenge
The inaugural Learn2Reg challenge established a shared framework for evaluating registration methods across multiple anatomies and imaging modalities.
- Adrian V. Dalca — Massachusetts Institute of Technology
- Yipeng Hu — University College London
- Tom Vercauteren — King’s College London
- Mattias P. Heinrich — University of Lübeck
- Lasse Hansen — University of Lübeck
- Marc Modat — King’s College London
- Bob de Vos — University of Amsterdam
- Yiming Xiao — Western University
- Hassan Rivaz — Concordia University
- Matthieu Chabanas — Université Grenoble Alpes
- Ingerid Reinertsen — SINTEF
- Bennett Landman — Vanderbilt University
- Jorge Cardoso — King’s College London
- Bram van Ginneken — Radboud University Medical Center
- Alessa Hering — Fraunhofer MEVIS
- Keelin Murphy — Radboud University Medical Center
2023–2024 — OncoReg Initiative
OncoReg brought related efforts in biomedical image registration into clinically motivated oncological applications.
- Mattias P. Heinrich — University of Lübeck
- Veronika Zimmer — Technical University of Munich; King’s College London
- Wiebke Heyer — University of Lübeck
- Zi Li — Alibaba DAMO Academy
- Alessa Hering — Radboud University Medical Center