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ORCID9th WBIR 2020: Portorož, Slovenia
- Ziga Spiclin
, Jamie McClelland, Jan Kybic, Orcun Goksel:
Biomedical Image Registration - 9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1-2, 2020, Proceedings. Lecture Notes in Computer Science 12120, Springer 2020, ISBN 978-3-030-50119-8
Registration Initialization and Acceleration
- Emanuele Olivetti, Pietro Gori, Pietro Astolfi, Giulia Bertò, Paolo Avesani:
Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem. 3-11 - Marek Wodzinski, Henning Müller:
Learning-Based Affine Registration of Histological Images. 12-22 - Roman Grothausmann, Dzenan Zukic, Matt McCormick, Christian Mühlfeld, Lars Knudsen:
Enabling Manual Intervention for Otherwise Automated Registration of Large Image Series. 23-33 - Wietske A. P. Bastiaansen, Melek Rousian, Régine P. M. Steegers-Theunissen, Wiro J. Niessen, Anton H. J. Koning, Stefan Klein:
Towards Segmentation and Spatial Alignment of the Human Embryonic Brain Using Deep Learning for Atlas-Based Registration. 34-43 - Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann:
Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy. 44-53
Interventional Registration
- Annkristin Lange, Stefan Heldmann:
Multilevel 2D-3D Intensity-Based Image Registration. 57-66 - David Drobny, Marta Ranzini, Amanda Isaac, Tom Vercauteren, Sébastien Ourselin, David Choi, Marc Modat:
Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-ray Registration Framework. 67-77
Landmark Based Registration
- Diana Waldmannstetter, Fernando Navarro, Benedikt Wiestler, Jan S. Kirschke, Anjany Sekuboyina, Ester Molero, Bjoern H. Menze:
Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment. 81-90 - Brian B. Avants, Elliot Greenblatt, Jacob Hesterman, Nicholas J. Tustison:
Deep Volumetric Feature Encoding for Biomedical Images. 91-100
Multi-channel Registration
- Xuesong Lu, Yuchuan Qiao:
Multi-channel Image Registration of Cardiac MR Using Supervised Feature Learning with Convolutional Encoder-Decoder Network. 103-110 - Alena Uus, Maximilian Pietsch, Irina Grigorescu, Daan Christiaens, Jacques-Donald Tournier, Lucilio Cordero-Grande, Jana Hutter, A. David Edwards, Joseph V. Hajnal, Maria Deprez:
Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain. 111-121 - Hester Breman, Joost Mulders, Levin Fritz, Judith C. Peters, John A. Pyles, Judith Eck, Matteo Bastiani, Alard Roebroeck, John Ashburner, Rainer Goebel:
An Image Registration-Based Method for EPI Distortion Correction Based on Opposite Phase Encoding (COPE). 122-130 - Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez:
Diffusion Tensor Driven Image Registration: A Deep Learning Approach. 131-140 - Frederik J. Lange, Stephen M. Smith, Mads F. Bertelsen, Alexandre A. Khrapitchev, Paul R. Manger, Rogier B. Mars, Jesper L. R. Andersson:
Multimodal MRI Template Creation in the Ring-Tailed Lemur and Rhesus Macaque. 141-150
Sliding Motion
- Eric Ng, Mehran Ebrahimi:
An Unsupervised Learning Approach to Discontinuity-Preserving Image Registration. 153-162 - Hari Om Aggrawal, Martin S. Andersen, Jan Modersitzki:
An Image Registration Framework for Discontinuous Mappings Along Cracks. 163-173
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