Leiden, The Netherlands
June 28 & 29, 2018
New: Call for 1-page abstracts: deadline April 1, 2018
New: Continuous Registration Challenge – Participate!
New: Post-WBIR Hackathon
We have some exciting updates on the 8th International Workshop on Biomedical Image Registration, WBIR2018, held in Leiden, the Netherlands. For more info, please visit our website https://wbir2018.nl. We have a draft program online (confirmed keynote speech by Prof.dr. Max Welling, authority on machine learning!), and you may now register to attend the conference!
CALL FOR 1-PAGE ABSTRACTS
Missed the full paper submission deadline, but still want to participate? Submit a 1-page abstract by April 1! Abstracts will undergo a (mild) single-blind review and will be presented as posters (including a 2-minute plenary pitch) at the conference, but will not appear in the proceedings. We are excited to hear about your latest technical breakthroughs, clinical application studies, and also welcome abstracts of recently published or submitted journal papers.
CONTINUOUS REGISTRATION CHALLENGE
WBIR2018 will include a special session on the Continuous Registration Challenge (CRC). CRC is a new collaborative software platform for medical image registration. Please check it out at https://continuousregistration.grand-challenge.org, attend one of the weekly webinars, and participate!
In collaboration with the Insight Toolkit (ITK) community and Kitware, we will host a hackathon on the day after the main conference (June 30). Participation is free of charge.
Camera ready: March 23, 2018
1-page abstract submission: April 1, 2018
Notification for 1-page abstracts: April 10, 2018
Early-bird registration deadline May 1, 2018
Conference: June 28/29, 2018
Post-WBIR Hackathon June 30, 2018
Submissions are invited in all areas of biomedical image registration. Topics of interest include, but are not limited to:
Novel registration methodology: 2D/3D/4D, spatiotemporal/dynamic, slice-to-volume, projective, single/multi-modal, intra/inter-subject, shape registration, model-based, patch-based, multi-channel, tracking, real-time, similarity measures, machine learning / deep learning techniques
Mathematical aspects of image registration: continuous/discrete optimization methods, diffeomorphisms, LDDMM, stationary velocity, inverse consistency, multi-scale
Biomedical applications of registration: computer-assisted interventions, image-guided therapy, treatment planning/delivery, diagnosis/prognosis, atlas-based segmentation, label fusion, histopathology correlation, motion-compensated reconstruction, serial studies, morphometry, biomechanics, image retrieval/restoration/fusion, imaging biomarkers for precision medicine, radiomics & radiogenomics
Early proof of concept, with potential use in biomedical applications
Validation of registration: quantitative and qualitative methods, benchmarking, comparison studies, phantom studies, correlation to outcome
The conference papers will be published in the Lecture Notes in Computer Science (LNCS).
Stefan Klein - Erasmus MC, The Netherlands
Marius Staring - Leiden University Medical Center, The Netherlands
Stanley Durrleman - INRIA/ICM ARAMIS Lab, France
Stefan Sommer - University of Copenhagen, Denmark