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ORCIDMCV@MICCAI 2014: Boston, MA, USA
- Bjoern H. Menze
, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8848, Springer 2014, ISBN 978-3-319-13971-5
Workshop Overview
- Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014). 3-10
Segmentation of Big Medical Data
- Guorong Wu, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen:
Joint Segmentation and Registration for Infant Brain Images. 13-21 - Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen:
LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images. 22-33 - Rola Harmouche, James C. Ross, George R. Washko, Raúl San José Estépar:
Pectoralis Muscle Segmentation on CT Images Based on Bayesian Graph Cuts with a Subject-Tailored Atlas. 34-44
Advanced Feature Extraction
- Gijs van Tulder, Marleen de Bruijne:
Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine. 47-58 - Elisabeth Stühler, Michael R. Berthold:
Dementia-Related Features in Longitudinal MRI: Tracking Keypoints over Time. 59-70 - Mohammad Ali Maraci, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble:
Object Classification in an Ultrasound Video Using LP-SIFT Features. 71-81 - Thomas Schlegl, Joachim Ofner, Georg Langs:
Unsupervised Pre-training Across Image Domains Improves Lung Tissue Classification. 82-93
Multi-atlas and Beyond
- Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen:
Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling. 97-104 - David Rivest-Hénault, Soumya Ghose, Josien P. W. Pluim, Peter B. Greer, Jurgen Fripp, Jason A. Dowling:
Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy Planning. 105-115 - Darko Zikic, Ben Glocker, Antonio Criminisi:
Classifier-Based Multi-atlas Label Propagation with Test-Specific Atlas Weighting for Correspondence-Free Scenarios. 116-124
Translational Medical Computer Vision
- Yeqin Shao, Yaozong Gao, Xin Yang, Dinggang Shen:
CT Prostate Deformable Segmentation by Boundary Regression. 127-136 - Felix Lugauer, Yefeng Zheng, Joachim Hornegger, B. Michael Kelm:
Precise Lumen Segmentation in Coronary Computed Tomography Angiography. 137-147 - Rocío Cabrera Lozoya, Ján Margeta, Loïc Le Folgoc, Yuki Komatsu, Benjamin Berte, Jatin Relan, Hubert Cochet, Michel Haïssaguerre, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant:
Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets. 148-159
VISCERAL Session
- Assaf B. Spanier, Leo Joskowicz:
Rule-Based Ventral Cavity Multi-organ Automatic Segmentation in CT Scans. 163-170 - Tobias Gass, Gábor Székely, Orcun Goksel:
Multi-atlas Segmentation and Landmark Localization in Images with Large Field of View. 171-180 - Xuhui Li, Cheng Huang, Fucang Jia, Zongmin Li, Chihua Fang, Yingfang Fan:
Automatic Liver Segmentation Using Statistical Prior Models and Free-form Deformation. 181-188 - Oscar Alfonso Jiménez del Toro, Henning Müller:
Hierarchic Multi-atlas Based Segmentation for Anatomical Structures: Evaluation in the VISCERAL Anatomy Benchmarks. 189-200 - Razmig Kéchichian, Sébastien Valette, Michaël Sdika, Michel Desvignes:
Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases. 201-209
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