Abstract is missing.
- Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014)Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas. 3-10 [doi]
- Joint Segmentation and Registration for Infant Brain ImagesGuorong Wu, Li Wang 0026, John H. Gilmore, Weili Lin, Dinggang Shen. 13-21 [doi]
- LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain ImagesLi Wang 0026, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen. 22-33 [doi]
- Pectoralis Muscle Segmentation on CT Images Based on Bayesian Graph Cuts with a Subject-Tailored AtlasRola Harmouche, James C. Ross, George R. Washko, Raúl San José Estépar. 34-44 [doi]
- Learning Features for Tissue Classification with the Classification Restricted Boltzmann MachineGijs van Tulder, Marleen de Bruijne. 47-58 [doi]
- Dementia-Related Features in Longitudinal MRI: Tracking Keypoints over TimeElisabeth Stühler, Michael R. Berthold. 59-70 [doi]
- Object Classification in an Ultrasound Video Using LP-SIFT FeaturesMohammad Ali Maraci, Raffaele Napolitano, Aris Papageorghiou, J. Alison Noble. 71-81 [doi]
- Unsupervised Pre-training Across Image Domains Improves Lung Tissue ClassificationThomas Schlegl, Joachim Ofner, Georg Langs. 82-93 [doi]
- Atlas-Guided Multi-channel Forest Learning for Human Brain LabelingGuangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen. 97-104 [doi]
- Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy PlanningDavid Rivest-Hénault, Soumya Ghose, Josien P. W. Pluim, Peter B. Greer, Jurgen Fripp, Jason A. Dowling. 105-115 [doi]
- Classifier-Based Multi-atlas Label Propagation with Test-Specific Atlas Weighting for Correspondence-Free ScenariosDarko Zikic, Ben Glocker, Antonio Criminisi. 116-124 [doi]
- CT Prostate Deformable Segmentation by Boundary RegressionYeqin Shao, Yaozong Gao, Xin Yang, Dinggang Shen. 127-136 [doi]
- Precise Lumen Segmentation in Coronary Computed Tomography AngiographyFelix Lugauer, Yefeng Zheng, Joachim Hornegger, B. Michael Kelm. 137-147 [doi]
- Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation TargetsRocío Cabrera Lozoya, Ján Margeta, Loïc Le Folgoc, Yuki Komatsu, Benjamin Berte, Jatin Relan, Hubert Cochet, Michel Haïssaguerre, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant. 148-159 [doi]
- Rule-Based Ventral Cavity Multi-organ Automatic Segmentation in CT ScansAssaf B. Spanier, Leo Joskowicz. 163-170 [doi]
- Multi-atlas Segmentation and Landmark Localization in Images with Large Field of ViewTobias Gass, Gábor Székely, Orcun Goksel. 171-180 [doi]
- Automatic Liver Segmentation Using Statistical Prior Models and Free-form DeformationXuhui Li, Cheng Huang, Fucang Jia, Zongmin Li, Chihua Fang, Yingfang Fan. 181-188 [doi]
- Hierarchic Multi-atlas Based Segmentation for Anatomical Structures: Evaluation in the VISCERAL Anatomy BenchmarksOscar Alfonso Jiménez del Toro, Henning Müller. 189-200 [doi]
- Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered AtlasesRazmig Kéchichian, Sébastien Valette, Michaël Sdika, Michel Desvignes. 201-209 [doi]