Best Paper Award
Nonparametric Aggregation of Geodesic Trends for Longitudinal Data Analysis
Kris M. Campbell, P. Thomas Fletcher
The best paper award is sponsored by
20 September 2018, Thursday
08:30 – 09:30 Registration
09:30 – 11:00 Satellite Events AM(I)
09:30 - 09:40 | Opening (10 min) |
09:40 - 10:25 | Keynote for “Shape Applications / Validation / Software” Stanley Durrleman |
10:25 - 10:45 | Deformetrica 4: an open-source software for statistical shape analysis Alexandre Bône, Maxime Louis, Benoit Martin, Stanley Durrleman Paper, Slides, Software |
10:45 - 11:05 | On the Evaluation and Validation of Off-the-shelf Statistical Shape Modeling Tools: A Clinical Application Anupama Goparaju, Ibolya Csécs, Alan Morris, Evgueni Kholmovski, Nassir Marrouche, Ross Whitaker, Shireen Elhabian |
11:00 – 11:30 Coffee Break
11:30 – 13:30 Satellite Events AM(II)
11:30 - 11:50 | 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 Long Xie, Laura Wisse, Sandhitsu Das, Ranjit Ittyerah, Jiancong Wang, David Wolk, Paul A Yushkevich |
11:50 - 12:10 | Interpretable Spiculation Quantification for Lung Cancer Screening Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph Deasy, Allen Tannenbaum, Wei Lu |
12:10 - 12:55 | Keynote for “Shape Methods” Michael Bronstein |
12:55 - 13:15 | Deformable Cubic Hermite Mesh Templates for Statistical Liver Shape Analysis Hao Bo Yu, Yui Nakagawa, Harvey Ho, Atsushi Saito, Akinobu Shimizu |
13:15 - 13:35 | Global divergences between measures: from Hausdorff distance to Optimal Transport Jean Feydy, Alain Trouve |
13:35 – 15:00 Lunch / Poster and Demo Session
See list at the end of the program
15:00 – 16:30 Satellite Events PM(I)
15:00 - 15:20 | Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension Shuman Jia, Nicolas Duchateau, Pamela Moceri, Maxime Sermesant, Xavier Pennec |
15:20 - 15:40 | 4D Continuous Medial Representation Trajectory Estimation for Longitudinal Shape Analysis Sungmin Hong, James Fishbaugh and Guido Gerig |
15:40 - 16:25 | Keynote for “Shape classification and deep learning” Daniel Rueckert |
16:30 – 17:00 Coffee Break
17:00 – 19:00 Satellite Events PM(II)
17:00 - 17:20 | Deep Shape Analysis on Abdominal Organs for Diabetes Prediction Benjamin Gutierrez Becker, Sergios Gatidis, Daniel Gutmann, Anette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger |
17:20 - 17:40 | Nonparametric Aggregation of Geodesic Trends for Longitudinal Data Analysis Kris M. Campbell, P. Thomas Fletcher |
17:40 - 18:00 | DeepSSM: Deep Learning Framework for Statistical Shape Modeling from Raw Images Riddhish Bhalodia, Shireen Elhabian, Ladislav Kavan, Ross Whitaker |
18:00 - 19:00 | Discussion / Conclusions / Adjourn |
Posters and Demos:
Deformable Cubic Hermite Mesh Templates for Statistical Liver Shape Analysis (with Demo)
Hao Bo Yu, Yui Nakagawa, Harvey Ho, Atsushi Saito and Akinobu Shimizu
Deformetrica 4: an open-source software for statistical shape analysis (with Demo)
Alexandre Bône, Maxime Louis, Benoit Martin and Stanley Durrleman
Probabilistic Fitting of Active Shape Models (with Demo)
Andreas Morel-Forster, Thomas Gerig, Marcel Lüthi and Thomas Vetter
Shape and Facet Analyses of Alveolar Airspaces of the Lung (with Demo)
Roman Grothausmann, Christian Mühlfeld, Matthias Ochs and Lars Knudsen
SlicerSALT: Shape AnaLysis Toolbox (with Demo)
Jared Vicory, Laura Pascal, James Fishbaugh, Juan Prieto, Mahmoud Mostafa, Chao Huang, Hina Shah, Junpyo Hong, Zhiyuan Liu, Loic Michoud, Jean-Christophe Fillion-Robin, Guido Gerig, Hongtu Zhu, Stephen Pizer, Martin Styner and Beatriz Paniagua
3D Shape Analysis for Coarctation of the Aorta
Lina Gundelwein, Heiko Ramm, Leonid Goubergrits, Marcus Kelm and Hans Lamecker
Automatic extraction of a piecewise symmetry surface of a 3D mesh: application to scoliosis
Marion Morand, Olivier Comas, Gérard Subsol and Christophe Fiorio
Combining deep learning and shape priors for bi-ventricular segmentation of volumetric cardiac magnetic resonance images
Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J W Dawes, Ghalib Bello, Carlo Biffi, Georgia Doumou, Antonio De Marvao, Declan P O’Regan and Daniel Rueckert
Deep Learning for Quality Control of Subcortical Brain 3D Shape Models
Dimitry M Petrov, Boris Gutman, Egor Kuznetsov, Chris Ching, Kathryn Alpert, Artemis Zavaliangos-Petropulu, Dimitry Isaev, Jessica Turner, Theo G.M. van Erp, Lei Wang, Lianne Schmaal, Dick Veltman and Paul Thompson
Discrimination of Volumetric Shapes using Orthogonal Tensor Decomposition
Hayato Itoh and Atsushi Imiya
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms
Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Denisova, Li Shen, Shan Cong, Lei Wang and Boris Gutman
Joint Registration of Multiple Generalized Point Sets
Zhe Min, Jiaole Wang, and Max Q.-H. Meng
Morphometric Sex Estimation from the Hip Bone by Means of the HIP 1.1 Software
Miroslav Králík, Ondřej Klíma, Petra Urbanová, Lenka Polcerová and Martin Čuta
OCT segmentation: Integrating open parametric contour model of the retinal layers and shape constraint to the Mumford-Shah functional
Jinming Duan, Weicheng Xie, Ryan Wen Liu, Christopher Tench, Irene Gottlob, Frank Proudlock and Li Bai
Slides
Organ-At-Risk Segmentation in Brain MRI using Model-Based Segmentation: Benefits of Deep Learning-Based Boundary Detectors
Eliza Orasanu, Tom Brosch, Carri Glide-Hurst and Steffen Renisch
Segmenting Bones, Based on Statistical Shape Model and Local Template Matching
Elham Taghizadeh, Alexandre Terrier, Fabio Becce, Alain Farron and Philippe Büchler
Shape Analysis of White Matter Tracts via the Laplace-Beltrami Spectrum
Lindsey Kitchell, Dan Bullock, Soichi Hayashis, Franco Pestilli
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors
Katarina Tothova, Sarah Parisot, Matthew Lee, Esther Puyol Anton, Lisa Koch, Andrew King, Ender Konukoglu and Marc Pollefeys
Virtual 2D-3D Fracture Reduction with Bone Length Recovery Using Statistical Shape Models
Ondřej Klíma, Roman Madeja, Michal Španěl, Martin Čuta, Pavel Zemčík, Pavel Stoklásek and Aleš Mizera