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Machine learning in medical imaging 4th International Workshop, MLMI 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings /

This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, in Nagoya, Japan, in September 2013. T...

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Corporate Authors: MLMI (Workshop) Nagoya-shi, Japan)
Other Authors: MLMI (Workshop), Wu, Guorong (Researcher in medical imaging),, SpringerLink (Online service), International Conference on Medical Image Computing and Computer-Assisted Intervention
Format: eBook
Language: English
Published: Cham : Springer, [2013]
Physical Description: 1 online resource (xii, 262 pages) : illustrations.
Series: Lecture notes in computer science ; 8184.
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics.
Table of Contents:
  • Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images /
  • Minjeong Kim, Guorong Wu and Dinggang Shen
  • Integrating Multiple Network Properties for MCI Identification /
  • Biao Jie, Daoqiang Zhang and Heung-Il Suk
  • Learning-Boosted Label Fusion for Multi-atlas Auto-Segmentation /
  • Xiao Han
  • Volumetric Segmentation of Key Fetal Brain Structures in 3D Ultrasound /
  • Mohammad Yaqub, Remi Cuingnet and Raffaele Napolitano
  • Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization /
  • Katerina Gkirtzou and Jean-François Deux
  • Fully Automatic Detection of the Carotid Artery from Volumetric Ultrasound Images Using Anatomical Position-Dependent LBP Features /
  • Fumi Kawai, Keisuke Hayata and Jun Ohmiya
  • A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity /
  • Annegreet van Opbroek and M. Arfan Ikram
  • A New Algorithm of Electronic Cleansing for Weak Faecal-Tagging CT Colonography /
  • Le Lu [and others].
  • A Unified Approach to Shape Model Fitting and Non-rigid Registration /
  • Marcel Lüthi, Christoph Jud and Thomas Vetter
  • A Bayesian Algorithm for Image-Based Time-to-Event Prediction /
  • Mert R. Sabuncu
  • Patient-Specific Manifold Embedding of Multispectral Images Using Kernel Combinations /
  • Veronika A.M. Zimmer, Roger Fonolla and Karim Lekadir
  • fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics /
  • Katerina Gkirtzou, Jean Honorio and Dimitris Samaras
  • Patch-Based Segmentation without Registration: Application to Knee MRI /
  • Zehan Wang, Claire Donoghue and Daniel Rueckert
  • Flow-Based Correspondence Matching in Stereovision /
  • Songbai Ji, Xiaoyao Fan and David W. Roberts
  • Thickness NETwork (ThickNet) Features for the Detection of Prodromal AD /
  • Pradeep Reddy Raamana, Lei Wang and Mirza Faisal Beg
  • Metric Space Structures for Computational Anatomy /
  • Jianqiao Feng, Xiaoying Tang and Minh Tang
  • Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification /
  • Heung-Il Suk, Chong-Yaw Wee and Dinggang Shen.
  • Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification /
  • Chong-Yaw Wee, Sen Yang and Pew-Thian Yap
  • An Improved Optimization Method for the Relevance Voxel Machine /
  • Melanie Ganz, Mert R. Sabuncu and Koen Van Leemput
  • Disentanglement of Session and Plasticity Effects in Longitudinal fMRI Studies /
  • Vittorio Iacovella, Paolo Avesani and Gabriele Miceli
  • Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion /
  • Kim-Han Thung, Chong-Yaw Wee and Pew-Thian Yap
  • On Feature Relevance in Image-Based Prediction Models: An Empirical Study /
  • Ender Konukoglu, Melanie Ganz, Koen Van Leemput
  • Decision Forests with Spatio-Temporal Features for Graph-Based Tumor Segmentation in 4D Lung CT /
  • Hamidreza Mirzaei, Lisa Tang and Rene Werner
  • Improving Probabilistic Image Registration via Reinforcement Learning and Uncertainty Evaluation /
  • Tayebeh Lotfi, Lisa Tang and Shawn Andrews.
  • HEp-2 Cell Image Classification: A Comparative Analysis /
  • Praful Agrawal, Mayank Vatsa and Richa Singh
  • A 2.5D Colon Wall Flattening Model for CT-Based Virtual Colonoscopy /
  • Huafeng Wang [and others]
  • Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation /
  • Jeremy Kawahara, Chris McIntosh and Roger Tam
  • Large-Scale Manifold Learning Using an Adaptive Sparse Neighbor Selection Approach for Brain Tumor Progression Prediction /
  • Loc Tran [and others]
  • Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease /
  • Xiaoke Hao and Daoqiang Zhang
  • Joint Sparse Coding Spatial Pyramid Matching for Classification of Color Blood Cell Image /
  • Jun Shi and Yin Cai
  • Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images /
  • Manhua Liu, Heung-Il Suk and Dinggang Shen
  • Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction /
  • Bo Cheng [and others].