Tuesday, 13:30 - 15:00

Diffusion Imaging:

1. Director Field Analysis to Explore Local White Matter Geometric Structure in diffusion MRI

Jian Cheng, National Institutes of Health
Peter Basser, National Institutes of Health

Multimodal Imaging:

3. A Novel Dynamic Hyper-Graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases

Yingying Zhu, UNC Chapel Hill
Guorong Wu, UNC Chapel Hill

Brain networks and Connectivity:

5. Multivariate Manifold Modeling of Functional Connectivity in Developing Language Networks

Ernst Schwartz, Medical University Vienna
Karl-Heinz Nenning, Medical University Vienna
Gregor Kasprian, Medical University Vienna
Anna-Lisa Schuler, Medical University Vienna
Lisa Bartha-Doering, Medical University Vienna
Georg Langs, Medical University of Vienna, Austria

7. Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging

Danilo Bzdok, INRIA
Michael Eickenberg, ENS, Paris
Gael Varoquaux, INRIA, France
Bertrand Thirion, INRIA, France

9. A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex

Daniel Moyer, Uni. of Southern California
Boris Gutman, Imaging Genetics Center, University of Southern California
Neda Jahanshad, Imaging Genetics Center, University of Southern California
Paul Thompson, Imaging Genetics Center, University of Southern California

Image Synthesis:

11. Population Based Image Imputation

Adrian Dalca, Massachusetts Institute of Technology
Katherine Bouman, MIT
Natalia Rost, MGH
William Freeman, MIT, Google
Mert Sabuncu, HMS, Cornell
Polina Golland, MIT

Dynamic Functional Connectivity:

13. Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a Population

Mengyu Dai, Florida State University
Zhengwu Zhang, SAMSI
Anuj Srivastava, Florida State University

Image Registration:

15. Symmetric Interleaved Geodesic Shooting in Diffeomorphisms

Greg Fleishman, University of Southern California, USA
Thomas Fletcher, University of Utah, USA
Paul Thompson, USC

Image Segmentation:

17. Globally optimal coupled surfaces for semi-automatic segmentation of medical images
Juan Iglesias, UCL

Model Understanding:

19. Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via A Novel Structured SCCA Approach

Lei Du, Northwestern Polytechnical Uni
Tuo Zhang, Northwestern Polytechnical University
Kefei Liu, School of Medicine, Indiana University
Jingwen Yan, Indiana University School of Medicine
Xiaohui Yao, Indiana University School of Medicine
Shannon Risacher, Indiana University School of Medicine
Andrew Saykin, Indiana University School of Medicine
Junwei Han, Northwestern Polytechnical University
Lei Guo, Northwestern Polytechnical University
Li Shen,

Neural Networks / Deep Learning:

21. Cancer Metastasis Detection via Spatially Structured Deep Network

Bin Kong, Year
Xin Wang, CuraCloud Corporation
Zhongyu Li,
Qi Song, CuraCloud Corporation
Shaoting Zhang, University of North Carolina at Charlotte

23. Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization

Dong Yang, Rutgers University
Tao Xiong,
Daguang Xu,
Qiangui Huang,
David Liu,
Kevin Zhou, Siemens Corporate Research, USA
Zhoubing Xu,
JinHyeong Park,
Mingqing Chen,
Trac Tran,
Sang Chin,
Dimitris Metaxas, Rutgers University
Dorin Comaniciu,

25. Joint Deep Learning of Foreground, Background and Shape for robust contextual segmentation

Hariharan Ravishankar, GE Global Research
Sheshadri Thiruvenkadam, GE Global Research
Rahul Venkataramani, Ge Global Research
Vivek Vaidya, GE Global Research

27. A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction

Jo Schlemper, Imperial College London
Jose Caballero,
Joseph Hajnal,
Anthony Price,
Daniel Rueckert, Imperial College London, UK

Vessel Segmentation:

29. VTrails: inferring vessels with geodesic connectivity trees

Stefano Moriconi, TranslationalImagingGroup UCL
Maria Zuluaga, Translational Imaging Group UCL
Rolf Jäger, Institute of Neurology, University College London, UK
Parashkev Nachev, Institute of Neurology, University College London, UK
Sebastian Ourselin, University College London, UK
M. Jorge Cardoso, University College London