Sunday:
15:00: Registration
19:00: Reception
Monday:
07:00 – 8:00: Breakfast
08:00 – 08:30: Opening Session
08:30 – 10:00: Analysis on Manifolds I (Session chair: Aasa Feragen)
· L_2E: A Framework for Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging - Monami Banerjee Bing Jian, Baba Vemuri
· Inconsistency of Template Estimation with the Fréchet mean in Quotient Space - Loic Devilliers, Xavier Pennec, Stephanie Allassonniere, Ecole Polytechnique
10:00 – 10:30: Coffee Break
10:30 – 12:00: Disease Progression (Session chair: Marleen de Bruijne)
· A Discriminative Event Based Model for Alzheimer's Disease Progression Modeling - Vikram Venkatraghavan, Esther Bron, Wiro Niessen, Stefan Klein
· A vertex clustering model for disease progression: Application to cortical thickness images - Razvan Valentin Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra Young, Neil Oxtoby, Sara Garbarino, Timothy Shakespeare, Sebastian Crutch, Daniel Alexander
12:00 – 13:30: Lunch
13:30 – 15:00: Image Registration (Session chair: Stefan Klein)
· Frequency Diffeomorphisms for Efficient Image Registration - Miaomiao Zhang, Ruizhi Liao, Adrian Dalca, P. Ellen Grant, Polina Golland,
· A Stochastic Large Deformation Model for Computational Anatomy - Alexis Arnaudon, Darryl Holm, Akshay Pai, Stefan Sommer
15:00 – 15:30: Coffee Break
15:30 – 17:00: Shape Analysis I (Session chair: Herve Lombaert)
· Spectral Kernels for Probabilistic Analysis and Clustering of Shapes - Loic Le Folgoc, Aditya Nori, Antonio Criminisi
· Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration - Pengxiang Wu, Chao Chen, Yusu Wang, Shaoting Zhang, Zhen Qian, Dimitris Metaxas, Leon Axel
17:30: Dinner
Tuesday:
07:00 – 8:30: Breakfast
08:30 – 10:00: Keynote
10:00 – 10:30: Coffee Break
10:30 – 12:00: Brain Networks and Connectivity I (Session chair: Benoit Scherrer)
· Topographic Regularity for Tract Filtering in Brain Connectivity - Junyan Wang, Dogu Aydogan, Rohit Varma, Arthur W Toga, Yonggang Shi,
· Riccati-regularized Precision Matrices for Neuroimaging - Nicolas Honnorat, Christos Davatzikos,
12:00 – 13:30: Lunch
13:30 – 15:00: Poster Session I
· 1. Director Field Analysis to Explore Local White Matter Geometric Structure in diffusion MRI - Jian Cheng
· 3. A Novel Dynamic Hyper-Graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases - Yingying Zhu
· 5. Multivariate Manifold Modeling of Functional Connectivity in Developing Language Networks - Ernst Schwartz
· 7. Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging - Danilo Bzdok
· 9. A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex - Daniel Moyer
· 11. Population Based Image Imputation - Adrian Dalca
· 13. Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a Population - Mengyu Dai
· 15. Symmetric Interleaved Geodesic Shooting in Diffeomorphisms - Greg Fleishman
· 17. Globally optimal coupled surfaces for semi-automatic segmentation of medical images - Juan Iglesias
· 19. Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via A Novel Structured SCCA Approach - Lei Du
· 21. Cancer Metastasis Detection via Spatially Structured Deep Network - Bin Kong
· 23. Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization - Dong Yang
· 25. Joint Deep Learning of Foreground, Background and Shape for robust contextual segmentation - Hariharan Ravishankar
· 27. A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction - Jo Schlemper
· 29. VTrails: inferring vessels with geodesic connectivity trees - Stefano Moriconi
15:00 – 15:30: Coffee Break
15:30 – 17:00: Quantitative Imaging I (Session chair: Miaomiao Zhang)
· Orthotropic Thin Shell Elasticity Estimation for Surface Registration - Qingyu Zhao, Stephen Pizer, Ron Alterovitz, Marc Niethammer, Julian Rosenman,
· Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network - Wufeng Xue, Shuo Li
17:30: Dinner
Wednesday:
07:00 – 8:30: Breakfast
08:30 – 10:00: Shape Analysis II (Session chair: Polina Golland)
· From Label Maps to Generative Shape Models: A Variational Bayesian Learning Approach - Shireen Elhabian, Ross Whitaker
· Constructing Shape Spaces from a Topological Perspective - Christoph Hofer, Roland Kwitt, Marc Niethammer, Yvonne Hoeller, Eugen Trinka, Andreas Uhl
10:00 – 10:30: Coffee Break
10:30 – 12:00: Generative Adversarial Networks (Session chair: Roland Kwitt)
· Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery - Thomas Schlegl, Philipp Seeböck, Sebastian Waldstein, Georg Langs
· Unsupervised domain adaptation in brain lesion segmentation with adversarial networks - Konstantinos Kamnitsas, Christian Baumgartner, Christian Ledig, Virginia Newcombe, Joanna Simpson, Andrew Kane, David Menon, Aditya Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
12:00 – 13:00: Lunch
15:00: Social Event
17:00: Conference Dinner
Thursday:
07:00 – 8:30: Breakfast
08:30 – 10:00: Analysis on Manifolds II (Session chair: Stefan Sommer)
· Kernel Methods for Riemannian Statistical Analysis of Robust Descriptors of Cerebral Cortical Geometry - Suyash Awate, Richard Leahy, Anand Joshi
· Conditional local distance correlation for manifold-valued data - Wenliang Pan, Xueqing Wang, Canhong Wen, Hongtu Zhu, Martin Styner
10:00 – 10:30: Coffee Break
10:30 – 12:00: Quantitative Imaging II (Session chair: Yi Hong)
· Multi-class Image Segmentation in Fluorescence Microscopy Images Using Polytrees - Hamid Fehri, Ali Gooya, Simon Johnston, Alejandro Frangi
· Directly Estimating Spinal Cobb Angles by Structured Multi-Output Regression - Haoliang Sun, Xiantong Zhen, Yilong Yin, Shuo Li
12:00 – 13:30: Lunch
13:30 – 15:00: Poster Session II
· 0. Novel Bayesian Modeling for Dictionary Learning and Undersampled Reconstruction in Multishell HARDI - Kratika Gupta
. 2. Estimation of Tissue Microstructure Using a Deep Network Inspired by a Sparse Reconstruction Framework - Chuyang Ye
· 4. A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies - Jenna Schabdach
· 6. Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches - Nahuel Lascano
· 8. Estimation of Brain Network Atlases using Diffusive-Shrinking Graphs: Application to Developing Brains - Islem Rekik
· 10. HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics - Jingwen Zhang
· 12. A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity - Yingying Zhu
· 14. Stochastic Development Regression on Non-Linear Manifolds - Line Kühnel
· 16. Multi-Source Multi-Target Dictionary Learning for Prediction of Cognitive Decline - Jie Zhang
· 18. Quantifying the Uncertainty in Model Parameters using Gaussian Process based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models - Jwala Dhamala
· 20. Weakly supervised evidence pinpointing and description - Qiang Zhang
· 22. Risk Stratification of Lung nodules using 3D CNN based Multi-task learning - Sarfaraz Hussein
· 24. Modeling Task fMRI Data via Deep Convolutional Autoencoder - Heng Huang
· 26. On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task - Wenqi Li
· 28. Predicting Interrelated Alzheimer's Disease Outcomes via New Self-Learned Structured Low-Rank Model - Xiaoqian Wang
15:00 – 15:30: Coffee Break
15:30 – 17:30: Sporting Events
17:30: Dinner
Friday:
07:00 – 8:30: Breakfast
08:30 – 10:00: Brain Networks and Connectivity II (Session chair: Archana Venkataraman)
· Multimodal Brain Subnetwork Extraction Using Provincial Hub Guided Random Walks - Chendi Wang, Bernard Ng, Rafeef Abugharbieh,
· Exact Topological Inference for Paired Brain Networks - Moo Chung, Victoria Vilalta-Gil, Paul Rathouz, Benjamin Lahey, David Zald
10:00 – 10:30: Coffee Break
10:30 – 11:15: Diffusion imaging (Session chair: Tom Fletcher)
· Decoupling axial and radial tissue heterogeneity in diffusion compartment imaging - Benoit Scherrer, Maxime Taquet, Armin Schwartzman, Etienne St-Onge, Gaetan Rensonnet, Sanjay Prabhu, Simon Warfield
11:15 – 12:15: Goodbye Session
12:15 – 12:45: Bagged lunch
14:15: Departure