WBIR 2024 will take place on Sunday 6th October in the Roseraie Room. We will start promptly at 08:00, so please leave sufficient time to find the room.

Oral Session 1:

08:30 O1_1: Assessing the robustness of image registration models under domain shifts with learnable input images. Iris Dolphina Kolenbrander, Vidya Prasad, Leanne Zikken, Maureen van Eijnatten, Matteo Maspero, Josien P.W. Pluim

08:45 O1_2: multiGradICON: A Foundation Model for Multimodal Medical Image Registration. Basar Demir, Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raul San Jose Estepar, Sylvain Bouix, Richard Jarrett Rushmore, Ebrahim Ebrahim, Marc Niethammer

09:00 O1_3: Mamba? Catch The Hype or Rethink What Really Helps for Image Registration. Bailiang Jian, Jiazhen Pan, MORTEZA GHAHREMANI, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler

Oral Session 2:

11:30 O.2_1: Deep learning multi-channel structural and diffusion tensor neonatal image registration. Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-grande, Jana Hutter, Dafnis Batalle, A David Edwards, Jo Hajnal, Marc Modat, Maria Deprez

11:45 O2_2: Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis. Alessa Hering, Sarah De Boer, Anindo Saha, Jasper J. Twilt, Mattias P Heinrich, Derya Yakar, Maarten de Rooij, Henkjan Huisman, Joeran Bosma

WBIR Accepted Posters (in order of the lightning session):

1. Unsupervised Similarity Learning for Image Registration with Energy-Based Models.  Daniel Grzech, Loic Le Folgoc, Mohammad Farid Azampour, Athanasios Vlontzos, Ben Glocker, Nassir Navab, Julia A Schnabel, Bernhard Kainz
2. General Vision Encoder Features as Guidance in Medical Image Registration.  Fryderyk Kögl, Anna Reithmeir, Vasiliki Sideri-Lampretsa, Ines Prata Machado, Rickmer Braren, Daniel Rueckert, Julia A Schnabel, Veronika A Zimmer
3. A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer.  Ines Prata Machado, Anna Reithmeir, Fryderyk Kögl, Leonardo Rundo, Ionut-Gabriel Funingana, Marika A.V. Reinius, Thisanaporn Mungmeeprued, Zeyu Gao, Cathal McCague, Eric Kerfoot, Ramona Woitek, Evis Sala, Yangming Ou, James D. Brenton, Julia A Schnabel, Mireia Crispin-Ortuzar
4. Towards Fast and Accurate Non-rigid Liver Fusion.  Stefano Fogarollo, Yannick Scharll, Reto Bale, Matthias Harders
5. Diffusion Model-Based Hierarchical Registration Framework for Whole-Body Image.  Jia Mi, Caiwen Jiang, Dinggang Shen
6. SINA: Sharp Implicit Neural Atlases by Joint Optimisation of Representation and Deformation.  Christoph Großbröhmer, Ziad Al-Haj Hemidi, Fenja Falta, Mattias P Heinrich
7. Rigid Single-Slice-in-Volume registration via rotation-equivariant 2D/3D feature matching.  Stefan Brandstätter, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Helmut Prosch, Georg Langs
8. Registration by Regression (RbR): a framework for interpretable and flexible atlas registration.  Karthik Gopinath, Xiaoling Hu, Malte Hoffmann, Oula Puonti, Juan Eugenio Iglesias
9. Electron Microscopy Image Registration with Twin Axial Transformer and Progressive Training.  Can Zhou, Haiqun Jin, Chunying Yin, Jun Guo, Futian Wang, Yueyi Zhang, Ruobing Zhang
10. Unleashing Registration: Diffusion Models for Synthetic Paired 3D Training Data.  Fenja Falta, Wiebke Heyer, Christoph Großbröhmer, Mattias P Heinrich
11. Feedback Attention for Unsupervised Cardiac Motion Estimation in 3D Echocardiography.  Md Kamrul Hasan, Guang Yang, Choon Hwai Yap
12. XSynthMorph: Generative-Guided Deformation for Unsupervised Ill-Posed Volumetric Recovery.  Alexandre Cafaro, Amaury Leroy, Guillaume Beldjoudi, MAURY Pauline, Robert Charlotte, Eric Deutsch, Vincent Grégoire, Vincent Lepetit, Nikos Paragios
13. Optimising Region of Interest Registration for Multiple-Tissue Whole Slide Images.  Alessio Fiorin, Laia Adalid Llansa, Elena Goyda, Vincenzo Della Mea, Anna Korzynska, Shrief Abdelazeez, Ramon Bosch Príncep, Alba Fischer Carles, Noelia Gallardo Borràs, Marylène Lejeune, Daniel Mata Cano, Domenec Puig, Hatem A. Rashwan, Esther Sauras Colón, Mikel Relloso Ortiz de Uriarte, Laia Reverté Calvet, Carlos López Pablo
14. Segmentation by registration-enabled SAM prompt engineering using five reference images.  Yaxi Chen, Aleksandra Ivanova, Shaheer U. Saeed, Rikin Hargunani, Jie Huang, Chaozong Liu, Yipeng Hu
15. Learning Intra-Patient Liver Registration with Graph Cross-Attention.  Stefano Fogarollo, Yannick Scharll, Reto Bale, Matthias Harders
16. Challenging the Robustness of Image Registration Similarity Metrics with Adversarial Attacks .  Robin Rexeisen, Xiaoyi Jiang
17. Comparative Study on Co-Registration Techniques for Diffusion-Weighted Breast MRI and Improved ADC Mapping.  Luise Brock, Andrzej Liebert, Hannes Schreiter, Dominika Skwierawska, Chris Ehring, Jessica Eberle, Frederik B. Laun, Michael Uder, Lorenz Kapsner, Sabine Ohlmeyer, Dominique Hadler, Florian Knoll, Sebastian Bickelhaupt
18. A Learning-Free Approach to Mitigate Abnormal Deformations in Medical Image Registration.  Abdullah F. Al-Battal, Soan T.M. Duong, Chanh Nguyen, Steven Truong, Chien Phan, Truong Nguyen, Cheolhong An
19. Large Deformation Registration with A Confidence-guided Network.  Xiaolong Wu, Bo Hu, Ruikang Xu, Shenglong Zhou, Ruisheng Gao, Zhiwei Xiong
20. A Novel Fusion of CT/MRI and US Images Based on Depth Camera and Electromagnetic Tracking.  Martina Paccini, Giacomo Paschina, Stefano De Beni, Andrei Stefanov, Velizar Kolev, Giuseppe Patane
21. CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization.  Yinsong Wang, Siyi Du, Shaoming Zheng, Xinzhe Luo, Chen Qin
22. Automatic Registration of SHG and H&E Images with Feature-based Initial Alignment and Intensity-based Instance Optimization: Contribution to the COMULIS Challenge.  Marek Wodzinski, Henning Müller
23. High Performance Groupwise Cortical Surface Registration with Multimodal Surface Matching.  Renato Besenczi, Yourong Guo, Emma C. Robinson

Learn2Reg Posters (In order of the lightning session):

    24.  Team VROC for Learn2Reg Task ReMIND, LUMIR and COMULIS. Thilo Sentker, Frederic Madesta, Maximilian Nielsen

    25. Team Bailiang for Learn2Reg Task ReMIND, LUMIR. Jian Bailiang

    26. Team DutchMasters for Learn2Reg Task LUMIR. Yi Zhang, Q. Tao, Z. Zhao

    27. Team honkamj for Learn2Reg Task LUMIR. Joel Honkamaa

   28. Team CDSN for Learn2Reg Task LUMIR. J. Zheng

   29. Team next-gen-nn for Learn2Reg Task ReMIND, LUMIR and COMULIS. Hang Zhang, et al.

   30. Team junyi_wang for Learn2Reg Task ReMIND. Junyi Wang

   31. Team IGRTS (lvlua) for Learn2Reg Task ReMIND. Yuhua Li

   32. Team SPL (dmorozov) for Learn2Reg Task ReMIND. Daniil Morozov

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: Learning-based methods, combinations of learning and non-learning techniques and conventional approaches. 2D/3D/4D, spatiotemporal/dynamic, pairwise / groupwise, slice-to-volume, projective, single/multi-modal, intra/inter-subject, model-based, patch-based, multi-channel, tracking. 

Machine learning and deep learning techniques for registration: unsupervised / supervised / reinforcement learning, convolutional / recurrent / transformer networks, cost correlation, neural networks for feature extraction and matching, correspondence weighting and prediction, attention modeling, deformation learning, deep encoder-decoder networks

Optimisation and mathematical aspects of image registration: continuous/discrete optimization, real-time, similarity measures, diffeomorphisms, LDDMM, stationary velocity, inverse consistency, multi-scale, graphical models

Biomedical applications of registration: computer-assisted interventions, image-guided therapy, treatment planning/delivery, diagnosis/prognosis, atlas-based segmentation, label fusion, histopathology correlation, serial studies, pathology detection and localization, morphometry, biomechanics, image retrieval/restoration/fusion, imaging biomarkers for precision medicine, radiomics & radiogenomics, early proofs of concept

Validation of registration: quantitative and qualitative methods, benchmarking, comparison studies, phantom studies, correlation to outcome, validation protocols and performance metrics, uncertainty estimation

Motion modelling, simulations and motion reconstruction