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ORCID10th WBIR 2022: Munich, Germany
- Alessa Hering, Julia A. Schnabel
, Miaomiao Zhang, Enzo Ferrante, Mattias P. Heinrich, Daniel Rueckert:
Biomedical Image Registration - 10th International Workshop, WBIR 2022, Munich, Germany, July 10-12, 2022, Proceedings. Lecture Notes in Computer Science 13386, Springer 2022, ISBN 978-3-031-11202-7
Atlases/Topology
- Julia Andresen, Timo Kepp, Jan Ehrhardt, Claus von der Burchard, Johann Roider, Heinz Handels:
Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network. 3-7 - François Anton, Matthis Maillard, Catherine Oppenheim, Johan Pallud, Isabelle Bloch, Pietro Gori, Joan Glaunès:
Weighted Metamorphosis for Registration of Images with Different Topologies. 8-17 - Ubaldo Ramon, Monica Hernandez, Elvira Mayordomo:
LDDMM Meets GANs: Generative Adversarial Networks for Diffeomorphic Registration. 18-28 - Wietske A. P. Bastiaansen, Melek Rousian, Régine P. M. Steegers-Theunissen, Wiro J. Niessen, Anton H. J. Koning, Stefan Klein:
Towards a 4D Spatio-Temporal Atlas of the Embryonic and Fetal Brain Using a Deep Learning Approach for Groupwise Image Registration. 29-34
Uncertainty
- Christian Weihsbach, Alexander Bigalke, Christian N. Kruse, Hellena Hempe, Mattias P. Heinrich:
DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation. 37-46 - Alphin J. Thottupattu, Jayanthi Sivaswamy, Venkateswaran P. Krishnan:
A Method for Image Registration via Broken Geodesics. 47-56 - Andreas Smolders, Tony Lomax, Damien Charles Weber, F. Albertini:
Deformable Image Registration Uncertainty Quantification Using Deep Learning for Dose Accumulation in Adaptive Proton Therapy. 57-66 - Frithjof Kruggel:
Distinct Structural Patterns of the Human Brain: A Caveat for Registration. 67-71
Architectures
- Samuel Joutard, Thomas S. Pheiffer, Chloé Audigier, Patrick Wohlfahrt, Reuben Dorent, Sebastien Piat, Tom Vercauteren, Marc Modat, Tommaso Mansi:
A Multi-organ Point Cloud Registration Algorithm for Abdominal CT Registration. 75-84 - Mattias P. Heinrich, Lasse Hansen:
Voxelmorph++ - Going Beyond the Cranial Vault with Keypoint Supervision and Multi-channel Instance Optimisation. 85-95 - Junyu Chen, Eric C. Frey, Yong Du:
Unsupervised Learning of Diffeomorphic Image Registration via TransMorph. 96-102 - Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl:
SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. 103-115
Optimisation
- Hanna Siebert, Mattias P. Heinrich:
Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation. 119-123 - Özdemir Çetin, Yiran Shu, Nadine Flinner, Paul Ziegler, Peter Wild, Heinz Koeppl:
Multi-magnification Networks for Deformable Image Registration on Histopathology Images. 124-133 - Till Nicke, Laura Graf, Mikko Lauri, Sven Mischkewitz, Simone Frintrop, Mattias P. Heinrich:
Realtime Optical Flow Estimation on Vein and Artery Ultrasound Sequences Based on Knowledge-Distillation. 134-143
Metrics/Losses
- Ivor J. A. Simpson, Balázs Örzsik, Neil A. Harrison, Iris Asllani, Mara Cercignani:
Motion Correction in Low SNR MRI Using an Approximate Rician Log-Likelihood. 147-155 - Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes Using Normalized Gradient Fields. 156-165 - Justinas Antanavicius, Roberto Leiras, Raghavendra Selvan:
Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas Using a Contrastively Learned Semantic Space. 166-176 - Xinrui Song, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan:
Transformed Grid Distance Loss for Supervised Image Registration. 177-181
Efficiency
- Jing Zou, Lihao Liu, Youyi Song, Kup-Sze Choi, Jing Qin:
Deformable Lung CT Registration by Decomposing Large Deformation. 185-189 - Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration. 190-193 - Zicong Zhou, Guojun Liao:
Recent Developments of an Optimal Control Approach to Nonrigid Image Registration. 194-197 - Batool Abbas, Riccardo Lattanzi, Catherine Petchprapa, Guido Gerig:
2D/3D Quasi-Intramodal Registration of Quantitative Magnetic Resonance Images. 198-205 - Andjela Dimitrijevic, Vincent Noblet, Benjamin De Leener:
Deep Learning-Based Longitudinal Intra-subject Registration of Pediatric Brain MR Images. 206-210 - Neha Goyal, Yahiya Hussain, Gianna G. Yang, Daniel Haehn:
Real-Time Alignment for Connectomics. 211-214 - Mona Schumacher, Hanna Siebert, Ragnar Bade, Andreas Genz, Mattias P. Heinrich:
Weak Bounding Box Supervision for Image Registration Networks. 215-219
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