FR-OS10: Image Segmentation in Brain MRI

Session Type: Oral
Time: Friday, April 1, 16:00 - 17:30
Location: CC24
Session Chair: Dinggang Shen, University of North Carolina
 
FR-OS10.1: LONGITUDINAL ASSESSMENT OF BRAIN TUMORS USING A REPEATABLE PRIOR-BASED SEGMENTATION
         Lior Weizman; The Hebrew University of Jerusalem
         Leo Joskowicz; The Hebrew University of Jerusalem
         Liat Ben Sira; Tel Aviv Sourasky Medical Center
         Ben Shofty; Tel Aviv Sourasky Medical Center
         Shlomi Constantini; Tel Aviv Sourasky Medical Center
         Dafna Ben Bashat; Tel Aviv Sourasky Medical Center
 
FR-OS10.2: TOPOLOGY PRESERVING AUTOMATIC SEGMENTATION OF THE SPINAL CORD IN MAGNETIC RESONANCE IMAGES
         Min Chen; The Johns Hopkins University / The National Institute of Neurological Disorders and Stroke
         Aaron Carass; The Johns Hopkins University
         Jennifer Cuzzocreo; The Johns Hopkins University
         Pierre-Louis Bazin; The Johns Hopkins University
         Daniel Reich; The Johns Hopkins University / The National Institute of Neurological Disorders and Stroke
         Jerry Prince; The Johns Hopkins University
 
FR-OS10.3: A DEFORMABLE SURFACE MODEL BASED AUTOMATIC RAT BRAIN EXTRACTION METHOD
         Jiehua Li; The George Washington University
         Xiaofeng Liu; GE Global Research
         Jiachen Zhuo; University of Maryland, Baltimore
         Rao Gullapalli; University of Maryland, Baltimore
         Jason Zara; The George Washington University
 
FR-OS10.4: ATLAS SELECTION STRATEGY USING LEAST ANGLE REGRESSION IN MULTI-ATLAS SEGMENTATION PROPAGATION
         Kai-kai Shen; Australian e-Health Research Centre, CSIRO
         Pierrick Bourgeat; Australian e-Health Research Centre, CSIRO
         Nicholas Dowson; Australian e-Health Research Centre, CSIRO
         Fabrice Meriaudeau; Université de Bourgogne
         Olivier Salvado; Australian e-Health Research Centre, CSIRO
 
FR-OS10.5: SPARSE RIEMANNIAN MANIFOLD CLUSTERING FOR HARDI SEGMENTATION
         Hasan Cetingul; The Johns Hopkins University
         Rene Vidal; The Johns Hopkins University