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ShapeMI@MICCAI 2018: Granada, Spain
- Martin Reuter, Christian Wachinger, Hervé Lombaert, Beatriz Paniagua, Marcel Lüthi, Bernhard Egger:
Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11167, Springer 2018, ISBN 978-3-030-04746-7
Shape Applications/Validation/Software
- Alexandre Bône, Maxime Louis, Benoît Martin, Stanley Durrleman:
Deformetrica 4: An Open-Source Software for Statistical Shape Analysis. 3-13 - Anupama Goparaju, Ibolya Csecs, Alan Morris, Evgueni Kholmovski, Nassir Marrouche, Ross T. Whitaker, Shireen Y. Elhabian:
On the Evaluation and Validation of Off-the-Shelf Statistical Shape Modeling Tools: A Clinical Application. 14-27 - Long Xie, Laura E. M. Wisse, Sandhitsu R. Das, Ranjit Ittyerah, Jiancong Wang, David A. Wolk, Paul A. Yushkevich:
Characterizing Anatomical Variability and Alzheimer's Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting. 28-37 - Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu:
Interpretable Spiculation Quantification for Lung Cancer Screening. 38-48 - Roman Grothausmann, Christian Mühlfeld, Matthias Ochs, Lars Knudsen:
Shape and Facet Analyses of Alveolar Airspaces of the Lung. 49-64 - Jared Vicory, Laura Pascal, Pablo Hernandez, James Fishbaugh, Juan-Carlos Prieto, Mahmoud Mostapha, Chao Huang, Hina Shah, Jun-Pyo Hong, Zhiyuan Liu, Loic Michoud, Jean-Christophe Fillion-Robin, Guido Gerig, Hongtu Zhu, Stephen M. Pizer, Martin Styner, Beatriz Paniagua:
SlicerSALT: Shape AnaLysis Toolbox. 65-72 - Lina Gundelwein, Heiko Ramm, Leonid Goubergrits, Marcus Kelm, Hans Lamecker:
3D Shape Analysis for Coarctation of the Aorta. 73-77 - Miroslav Králík, Ondrej Klíma, Petra Urbanová, Lenka Polcerová, Martin Cuta:
Morphometric Sex Estimation from the Hip Bone by Means of the HIP 1.1 Software. 78-89
Shape Methods
- Haobo Yu, Yui Nakagawa, Harvey Ho, Atsushi Saito, Akinobu Shimizu:
Deformable Cubic Hermite Mesh Templates for Statistical Liver Shape Analysis. 93-101 - Jean Feydy, Alain Trouvé:
Global Divergences Between Measures: From Hausdorff Distance to Optimal Transport. 102-115 - Shuman Jia, Nicolas Duchateau, Pamela Moceri, Maxime Sermesant, Xavier Pennec:
Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension. 116-124 - Sungmin Hong, James Fishbaugh, Guido Gerig:
4D Continuous Medial Representation Trajectory Estimation for Longitudinal Shape Analysis. 125-136 - Andreas Morel-Forster, Thomas Gerig, Marcel Lüthi, Thomas Vetter:
Probabilistic Fitting of Active Shape Models. 137-146 - Marion Morand, Olivier Comas, Gérard Subsol, Christophe Fiorio:
Automatic Extraction of a Piecewise Symmetry Surface of a 3D Mesh: Application to Scoliosis. 147-159 - Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman:
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. 160-168 - Zhe Min, Jiaole Wang, Max Q.-H. Meng:
Joint Registration of Multiple Generalized Point Sets. 169-177 - Jinming Duan, Weicheng Xie, Ryan Wen Liu, Christopher R. Tench, Irene Gottlob, Frank Proudlock, Li Bai:
OCT Segmentation: Integrating Open Parametric Contour Model of the Retinal Layers and Shape Constraint to the Mumford-Shah Functional. 178-188 - Elham Taghizadeh, Alexandre Terrier, Fabio Becce, Alain Farron, Philippe Büchler:
Segmenting Bones Using Statistical Shape Modeling and Local Template Matching. 189-194 - Lindsey Kitchell, Daniel Bullock, Soichi Hayashi, Franco Pestilli:
Shape Analysis of White Matter Tracts via the Laplace-Beltrami Spectrum. 195-206 - Ondrej Klíma, Roman Madeja, Michal Spanel, Martin Cuta, Pavel Zemcík, Pavel Stoklásek, Ales Mizera:
Virtual 2D-3D Fracture Reduction with Bone Length Recovery Using Statistical Shape Models. 207-219
Shape Classification and Deep Learning
- Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger:
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. 223-231 - Kristen M. Campbell, P. Thomas Fletcher:
Nonparametric Aggregation of Geodesic Trends for Longitudinal Data Analysis. 232-243 - Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images. 244-257 - Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Ghalib Bello, Carlo Biffi, Georgia Doumou, Antonio M. Simoes Monteiro de Marvao, Declan P. O'Regan, Daniel Rueckert:
Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images. 258-267 - Dmitry Petrov, Boris A. Gutman, Egor Kuznetsov, Christopher R. K. Ching, Kathryn I. Alpert, Artemis Zavaliangos-Petropulu, Dmitry Isaev, Jessica A. Turner, Theo G. M. van Erp, Lei Wang, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson:
Deep Learning for Quality Control of Subcortical Brain 3D Shape Models. 268-276 - Hayato Itoh, Atsushi Imiya:
Discrimination of Volumetric Shapes Using Orthogonal Tensor Decomposition. 277-290 - Eliza Orasanu, Tom Brosch, Carri Glide-Hurst, Steffen Renisch:
Organ-At-Risk Segmentation in Brain MRI Using Model-Based Segmentation: Benefits of Deep Learning-Based Boundary Detectors. 291-299 - Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys:
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. 300-310
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