Biomedical Image Registration

Image registration is a vital part in medical image analysis and computer-assisted interventions. Yet, with the advent of deep learning in image analysis that has shifted focus to automatic segmentation and classification techniques, the impact of registration is not well reflected in the number of MICCAI papers, workshops and challenges. We believe this is due to the difficulties in advancing learning techniques for a problem that is inherently ill-posed and has no viable ground truth training data. In addition, the connections across worldwide research groups are only loose and as a smaller community would benefit from specialised gatherings.

Mission

The main mission of SIG-BIR will be the strengthening of exchange between different research groups in the field of biomedical image registration. This will be facilitated by organising one satellite event at MICCAI conferences and one biennial international workshop (WBIR). In addition tutorials and smaller workshops organised by members/interested individuals will be considered for financial support.

Secondly, we aim to provide and curate public data sets for evaluation and training of medical registration algorithms. Multiple examples, where datasets, annotations and an evaluation platform is already provided can be found at our learn2reg.grand-challenge.org website. Hence, SIG-BIR will support the organisation of future Learn2Reg Challenges or similar events and will be liasing closely with the MICCAI SIG on Challenges

In addition, we want to develop best practices and educational initiatives to facilitate entry into the field of image registration and open community for more diverse participation. In particular, we plan to enable research from low-income countries through sponsored access to GPU cloud computing for training registration networks in a federated data-privacy-preserving way.

Board Members

  • Committee
  • Members
  • Advisors

Mattias Heinrich

University of Lübeck, Germany

Tony Mok

DAMO Academy, China

Junyu Chen

Johns Hopkins University, U.S.A.

Miaomiao Zhang

University of Virginia, U.S.A.

Adrian Dalca

CSAIL MIT, U.S.A.

AH

Alessa Hering

Radboudumc, Nijmegen, The Netherlands

EF

Enzo Ferrante

CONICET- Universidad Nacional del Litoral, Argentina

VZ

Veronika Zimmer

Technical University of Munich, Germany

XZ

Xiahai Zhuang

The Fudan University, China

YL

Yihao Liu

Vanderbilt University, U.S.A.

Julia Schnabel

Helmholtz Munich And Technical University of Munich, Germany

SK

Stefan Klein

Erasmus MC, the Netherlands

ZS

Žiga Špiclin

University of Ljubljana, Slovenia

Activities

WBIR 2022

10th International Workshop on Biomedical Image Registration

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