WBIR2022 - Call for Papers

Dear colleagues,

We would like to inform you about the submission deadline on January 25, 2022 for full papers for the 10th International Workshop on Biomedical Image Registration (WBIR2022). The conference will be hosted in Munich, Germany, from 10th to 12th July 2022 and brings together leading researchers in the area of biomedical image registration. We are planning for a hybrid event and hence there will be the option to present and/or attend virtually - providing everyone with ample opportunities to discuss with your peers.

We now invite you to submit full papers (up to 6-8 pages LNCS format excluding references) for oral or poster presentation and later in April for short papers (with up to 3 pages in length).

We are delighted to announce the following three expert speakers that will give exiting keynote presentations at WBIR 2022:

= Prof. Dr. Josien Pluim, Eindhoven University of Technology
= Prof. Dr. Maria Vakalopoulou, École Centrale Paris
= Dr. Wolfgang Wein, ImFusion Munich

We are also very happy to announce that Nvidia will be sponsoring a GPU for the best paper award. A selection of best papers will be invited for an extended journal submission to Machine Learning for Biomedical Imaging (MELBA). There will be scholarships for researchers from developing countries or other students that have limited funding.

Please find important dates and other information below and on our website: https://2022.wbir.info

Important dates (tentative)
Conference Dates: Sunday 10th - Tuesday 12th July 2022

Paper submission deadline: Tue 25th January, 2022
Notification of acceptance: Fri 25th February
Short Paper deadline: Fri 29th April
Camera-ready deadline: End May 2022
Short Paper abstract acceptance: May 2022
Submission system: OpenReview.net

Aims and Scope
Submissions are invited in all areas of biomedical image registration. Topics of interest include, but are not limited to:

* Novel registration methodology
* Combinations of learning and non-learning techniques
* Machine learning and deep learning techniques for registration
* Optimisation and mathematical aspects of image registration
* (Bio)-medical applications of registration
* Validation of registration and benchmarking
* Motion modelling and reconstruction
* The review process will be double-blind with emphasis on open science and open data.

Organizing committee

* Mattias Heinrich, University of Lübeck, Germany
* Alessa Hering, Fraunhofer MEVIS, Germany and Radboud UMC, The Netherlands
* Julia Schnabel, Helmholtz Center Munich and Technical University of Munich, Germany
* Daniel Rückert, Technical University of Munich, Germany

Paper selection committee

* Stefan Klein, Erasmus MC, The Netherlands
* Žiga Špiclin, University of Ljubljana, Slovenia
* Miaomiao Zhang, University of Virginia, United States
* Enzo Ferrante, CONICET - Universidad Nacional del Litoral, Argentina