»Proceedings

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 Kitware

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