Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning-Reference-Cited by-同舟云学术

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

Published:2023-03 Issue:3 Volume:42 Page:697-712
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Hering Alessa¹^ORCID,Hansen Lasse²^ORCID,Mok Tony C. W.³^ORCID,Chung Albert C. S.³^ORCID,Siebert Hanna²,Hager Stephanie⁴,Lange Annkristin⁴^ORCID,Kuckertz Sven⁴,Heldmann Stefan⁴^ORCID,Shao Wei⁵^ORCID,Vesal Sulaiman⁶^ORCID,Rusu Mirabela⁵,Sonn Geoffrey⁶^ORCID,Estienne Theo⁷^ORCID,Vakalopoulou Maria⁸,Han Luyi¹^ORCID,Huang Yunzhi⁹^ORCID,Yap Pew-Thian¹⁰^ORCID,Brudfors Mikael¹¹^ORCID,Balbastre Yael¹²,Joutard Samuel¹³,Modat Marc¹³,Lifshitz Gal¹⁴^ORCID,Raviv Dan¹⁴,Lv Jinxin¹⁵^ORCID,Li Qiang¹⁵,Jaouen Vincent¹⁶^ORCID,Visvikis Dimitris¹⁶,Fourcade Constance¹⁷,Rubeaux Mathieu¹⁸,Pan Wentao¹⁹^ORCID,Xu Zhe²⁰^ORCID,Jian Bailiang²¹,De Benetti Francesca²¹^ORCID,Wodzinski Marek²²^ORCID,Gunnarsson Niklas²³^ORCID,Sjolund Jens²³^ORCID,Grzech Daniel²⁴^ORCID,Qiu Huaqi²⁴^ORCID,Li Zeju²⁴^ORCID,Thorley Alexander²⁵,Duan Jinming²⁵^ORCID,Grosbrohmer Christoph²^ORCID,Hoopes Andrew¹²,Reinertsen Ingerid²⁶^ORCID,Xiao Yiming²⁷,Landman Bennett²⁸^ORCID,Huo Yuankai²⁸^ORCID,Murphy Keelin¹^ORCID,Lessmann Nikolas¹^ORCID,van Ginneken Bram¹,Dalca Adrian V.²⁹,Heinrich Mattias P.²

Affiliation:

1. Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands

2. Institute of Medical Informatics, Universität zu Lübeck, Lübeck, Germany

3. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Sai Kung, New Territories, Hong Kong

4. Fraunhofer MEVIS, Institute for Digital Medicine, Lübeck, Germany

5. Department of Radiology, Stanford University, Stanford, CA, USA

6. Department of Urology, Stanford University, Stanford, CA, USA

7. CentraleSupélec, Mathématiques et Informatique pour la Complexité et les Systèmes, Inria Saclay, Institut Gustave Roussy, Inserm, Radiothérapie Moléculaire et Innovation Thérapeutique, Université Paris-Saclay, Gif-sur-Yvette, France

8. CentraleSupélec, Mathématiques et Informatique pour la Complexité et les Systèmes, Inria Saclay, Université Paris-Saclay, Gif-sur-Yvette, France

9. School of Automation, Nanjing University of Information Science and Technology, Nanjing, China

10. Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA

11. NVIDIA, Berkshire, U.K.

12. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA

13. Department of Biomedical Engineering, King’s College London, London, U.K.

14. Faculty of Engineering, School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel

15. Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Collaborative Innovation Center for Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, China

16. UMR 1101 LaTIM, IMT Atlantique, Inserm, Brest, France

17. Ecole Centrale de Nantes, LS2N, UMR CNRS, Nantes, France

18. Keosys Medical Imaging, Saint Herblain, France

19. Shenzhen International Graduate School, Tsinghua University, Beijing, China

20. Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong

21. Chair for Computer Aided Medical Procedures and Augmented Reality, TUM, Garching, Germany

22. Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland

23. Department of Information Technology, Uppsala University, Uppsala, Sweden

24. Department of Computing, Imperial College London, London, U.K.

25. School of Computer Science, University of Birmingham, Birmingham, U.K.

26. Department of Health Research, SINTEF Digital, Trondheim, Norway

27. Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada

28. Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA

29. Harvard Medical School, Boston, MA, USA

Funder

German Federal Ministry of Education and Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/10057585/09925717.pdf?arnumber=9925717

Reference67 articles.

1. A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets

2. Flexible Bayesian Modelling for Nonlinear Image Registration

3. Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT

4. Fraunhofer MEVIS image registration solutions for the Learn2Reg 2021 challenge;hering;Proc Int Conf Med Image Comput Comput -Assist Intervent,2021

5. elastix: A Toolbox for Intensity-Based Medical Image Registration

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