Medical Image Computing and Computer-Assisted Intervention • MICCAI 2015

Medical Image Computing and Computer-Assisted Intervention • MICCAI 2015

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18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II 
Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi (Eds.)

Table of contents
Computer-Aided Detection and Quantification of Intracranial Aneurysms - Jerman, Tim (et al.) - Pages 3-10
Discriminative Feature Selection for Multiple Ocular Diseases Classification by Sparse Induced Graph Regularized Group Lasso - Chen, Xiangyu (et al.) - Pages 11-19
Detection of Glands and Villi by Collaboration of Domain Knowledge and Deep Learning - Wang, Jiazhuo (et al.) - Pages 20-27
Minimum S-Excess Graph for Segmenting and Tracking Multiple Borders with HMM - Essa, Ehab (et al.) - Pages 28-35
Automatic Artery-Vein Separation from Thoracic CT Images Using Integer Programming - Payer, Christian (et al.) - Pages 36-43
Automatic Dual-View Mass Detection in Full-Field Digital Mammograms - Amit, Guy (et al.) - Pages 44-52
Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection - Seff, Ari (et al.) - Pages 53-61
Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks - Tajbakhsh, Nima (et al.) - Pages 62-69
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks - Azizi, Shekoofeh (et al.) - Pages 70-77
MCI Identification by Joint Learning on Multiple MRI Data - Gao, Yue (et al.) - Pages 78-85
Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance - Gao, Yue (et al.) - Pages 86-93
Regenerative Random Forest with Automatic Feature Selection to Detect Mitosis in Histopathological Breast Cancer Images - Paul, Angshuman (et al.) - Pages 94-102
HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection - Hanaoka, Shouhei (et al.) - Pages 103-110
Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations - Milletari, Fausto (et al.) - Pages 111-118
Improved Parkinson’s Disease Classification from Diffusion MRI Data by Fisher Vector Descriptors - Salamanca, Luis (et al.) - Pages 119-126
Automated Shape and Texture Analysis for Detection of Osteoarthritis from Radiographs of the Knee - Thomson, Jessie (et al.) - Pages 127-134
Hashing Forests for Morphological Search and Retrieval in Neuroscientific Image Databases - Mesbah, Sepideh (et al.) - Pages 135-143
Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM - Wong, Ken C. L. (et al.) - Pages 144-151
Automatic Graph-Based Localization of Cochlear Implant Electrodes in CT - Noble, Jack H. (et al.) - Pages 152-159
Towards Non-invasive Image-Based Early Diagnosis of Autism - Mostapha, M. (et al.) - Pages 160-168
Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut - Gao, Hongchang (et al.) - Pages 169-176
Semantic 3-D Labeling of Ear Implants Using a Global Parametric Transition Prior - Zouhar, Alexander (et al.) - Pages 177-184
Learning the Correlation Between Images and Disease Labels Using Ambiguous Learning - Syeda-Mahmood, Tanveer (et al.) - Pages 185-193
Longitudinal Analysis of Brain Recovery after Mild Traumatic Brain Injury Based on Groupwise Consistent Brain Network Clusters - Chen, Hanbo (et al.) - Pages 194-201
Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR - Oksuz, Ilkay (et al.) - Pages 205-213
Registration of Color and OCT Fundus Images Using Low-dimensional Step Pattern Analysis - Lee, Jimmy Addison (et al.) - Pages 214-221
Estimating Patient Specific Templates for Pre-operative and Follow-Up Brain Tumor Regi