9:00-9:10 Opening session
9:10-10:30 Segmentation
9:10-9:30 Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae, S M Masudur Rahman Al Arif, Michael Gundry, Karen Knapp and Greg Slabaugh, City University London, UK
9:30-9:50 Machine learning based bone segmentation in Ultrasound, Nora Baka, Sieger Leenstra, and Theo van Walsum, University Medical Center Rotterdam, The Netherlands
9:50-10:10 Variational Segmentation of the White and Gray Matter in the Spinal Cord using a Shape Prior, Antal Horath, Simon Pezold, Matthias Weigel, Katrin Weier, Oliver Bieri, and Philippe Cattin, University of Basel, Switzerland
10:10-10:30 Automated Intervertebral Disc Segmentation using Deep Convolutional Neural Network, Xing Ji, Guoyan Zheng, Daniel Belavy, and Dong Ni, Shenzhen University, China
10:30-11:00 Coffee Break
11:00-12:00 Invited talk I – Tim Cootes, University of Manchester, UK
Systems for locating vertebral fractures in X-ray images
12:00-13:00 Localization
12:00-12:20 Fully Automatic Localisation of Vertebrae in CT images using Random Forest Regression Voting, Paul A. Bromiley, Eleni P. Kariki, Judith E. Adams, and Timothy F. Cootes, University of Manchester, UK
12:20-12:40 Global Localization and Orientation of the Cervical Spine in X-ray Images, S M Masudur Rahman Al Arif, Michael Gundry, Karen Knapp and Greg Slabaugh, City University London, UK
12:40-13:00 Accurate Intervertebral Disc Localisation and Segmentation in MRI using Vantage Point Hough Forests and Multi-Atlas Fusion, Mattias P. Heinrich and Ozan Oktay, University of Lubeck, Germany
13:00-14:00 Lunch break
14:00-15:00 Invited talk II – Franjo Pernuš , University of Ljubljana, Slovenia
Review of 3D/2D registration for image-guided intervention
15:00-16:00 Computer Aided Diagnosis and Intervention
15:00-15:15 Manual and Computer-Assisted Pedicle Screw Placement Plans: a Quantitative Comparison, Dejan Knez, Janez Mohar, Robert J. Cirman, Bostjan Likar, Franjo Pernus, and Tomaz Vrtovec, University of Ljubljana, Slovenia
15:15-15:30 Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks, Yinong Wang, Jianhua Yao, Joseph E. Burns, Jiamin Liu, and Ronald M. Summers, National Institutes of Health, USA
15:30-15:45 Classification of Progressive and Non-Progressive Scoliosis Patients using Discriminant Manifolds, William Mandel, Robert Korez, Marie-Lyne Nault, Stefan Parent, and Samuel Kadoury, Ecole Polytechnique de Montreal, Canada
15:45-16:00 Reconstruction of 3D Lumbar Vertebral from Two X-ray Images Based on 2D/3D Registration, Longwei Fang, Zuowei Wang, Zhiqiang Chen, Fengzeng Jian, Huiguang He, Chinese Academy of Sciences, China
16:00-16:30 Coffee Break
16:30-17:50 Challenge Presentation and Report
17:50-18:00 Closing Discussion
Computational Methods and Clinical Applications for Spine Imaging 