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