19 accepted papers, out of 37 submissions, will be published in this workshop. All accepted papers will be presented during poster sessions. 9 papers have been selected for an additional 15 minute podium presentation during the 3 plenary oral sessions. The rest 10 papers also have 3-5 minute podium presentation during the 3 spotlight sessions.
08:00 - 18:00     Registration
09:00 - 09:30     Keynote Lecture
09:30 - 10:15     Oral Session 1
Learning best wavelet packet bases for compressed sensing of classes of images: application to brain MR imaging, Michal Romaniuk*, Imperial College London, Anil Rao, Imperial College London, Robin Wolz, Imperial College London, Joseph Hajnal, King's College London, Daniel Rueckert, Imperial College London.
Redundancy Encoding for Fast Dynamic MR Imaging using Structured Sparsity, Vimal Singh*, University of Texas at Austin, Ahmed Tewfik, The university of Texas at Austin.
The Benefit of Tree Sparsity in Accelerated MRI, Chen Chen*, Uni. of Texas at Arlington, Junzhou Huang, UT Arlington.
10:30 - 11:00     Coffee break
10:15 - 10:30     Spotlight 1
MRI reconstruction from partial k-space data by iterative stationary wavelet transform thresholding, Mohammad Kayvanrad*, RRI, Charles McKenzie, Terry Peters, Robarts Research Institute.
Accelerated Parallel Magnetic Resonance Imaging with Joint Gradient and Wavelet Sparsity, Chen Chen*, Uni. of Texas at Arlington, Junzhou Huang, UT Arlington, Leon Axel, NYUMC.
AEDL Algorithm for Change Detection in Medical Images - An Application of Adaptive Dictionary Learning Techniques, Varvara Nika*, Department of Mathematics and Statistics, York University, Paul Babyn, Department of Medical Imaging, University of Saskatchewan, Hongmei Zhu, York University.
10:30 - 11:00     Coffee break
11:00 - 11:45     Oral Session 2
Sparse Deformable Models with Applications to Mouse LV Motion Analysis using Tagged MRI, Yang Yu, Rutgers University, Shaoting Zhang*, Rutgers, Junzhou Huang, UT Arlington, Dimitris Metaxas, Rutgers, Leon Axel, NYUMC.
Robust Patch-Based Multi-Atlas Labeling by Joint Sparsity Regularization, Guorong Wu*, BRIC, UNC-CH, Qian Wang, BRIC, UNC-CH, Daoqiang Zhang, BRIC, UNC-CH, Dinggang Shen, UNC.
Dictionary Learning on Riemannian Manifolds, Yuchen Xie, Baba C. Vemuri*, Dept. of Computer and Information Science and Engineering, University of Florida, Jeffrey Ho
11:45 - 12:00     Spotlight 2
Segmentation Using Sparse Shape Model and Minimally Supervised Method in Liver Surgery Planning and Guiding System, Guotai Wang*, Biomedical Engineering School, Shanghai Jiao Tong University, China, Feng Li, Robarts Research Institute, Western University, Canada, Lixu Gu, Biomedical Engineering School, Shanghai Jiao Tong University, China.
Tracking the Left Ventricle Through Collaborative Trackers and Sparse Shape Model, Yan Zhou*, Elekta Inc.
Segmentation of Brain MR Images via Sparse Patch Representation, Tong Tong*, Imperial College London, Robin Wolz, Joseph Hajnal, Imperial college london, Daniel Rueckert, Imperial college london.
12:00 - 14:00     Lunch & posters
14:00 - 14:30     Keynote Lecture
14:30 - 15:15     Oral Session 3
Breast Density Scoring with Multiscale Denoising Autoencoders, Kersten Petersen*, University of Copenhagen, Konstantin Chernoff, Mads Nielsen, Andrew Ng.
Motion and Contrast Enhancement Separation Model Reconstruction from Partial Measurements in Dynamic MRI, Benjamin Tremoulheac*, University College London.
Compressive Matched Filter for Cerebral Blood Flow Quantification with ASL: sampling diversity or repetition?, Lei Yu*, INRIA ViSaGeS, Pierre Maurel, Christian Barillot, Remi Gribonval.
15:15 - 15:30     Spotlight 3
Automatic Rapid Segmentation of Human Lung from 2D Chest X-Ray Images, Zhennan Yan*, Rutgers University, Jing Zhang, Shaoting Zhang, Rutgers, Dimitris Metaxas, Rutgers.
Diagnosis and prognosis of osteoarthritis by texture analysis using sparse linear models, Joselene Marques*, University of Copenhagen, Line Clemmensen, Technical University of Denmark, Erik Dam, BiomedIQ.
Content Based Medical Image Retrieval using Compressed Features, Xiang Yu*, Rutgers University, Shaoting Zhang, Bo Liu and Dimitris N. Metaxas.
Lung Image Classification using Locality-Constrained Linear Coding, Meng Yi*, Temple University, Tatyana Nuzhnaya, Vasileios Megalooikonomou, Xinggang Wang, Longin Jan Latecki, Mark Kohn, Robert Steiner.
15:30 - 16:00     Coffee break
16:00 - 17:30     Posters