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ORCID4th MLMI@MICCAI 2013: Nagoya, Japan
- Guorong Wu, Daoqiang Zhang, Dinggang Shen, Pingkun Yan, Kenji Suzuki
, Fei Wang:
Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings. Lecture Notes in Computer Science 8184, Springer 2013, ISBN 978-3-319-02266-6 - Minjeong Kim, Guorong Wu, Dinggang Shen:
Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images. 1-8 - Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen:
Integrating Multiple Network Properties for MCI Identification. 9-16 - Xiao Han:
Learning-Boosted Label Fusion for Multi-atlas Auto-Segmentation. 17-24 - Mohammad Yaqub, Rémi Cuingnet, Raffaele Napolitano, David Roundhill, Aris T. Papageorghiou, Roberto Ardon, J. Alison Noble:
Volumetric Segmentation of Key Fetal Brain Structures in 3D Ultrasound. 25-32 - Katerina Gkirtzou, Jean-François Deux, Guillaume Bassez, Aristeidis Sotiras, Alain Rahmouni, Thibault Varacca, Nikos Paragios, Matthew B. Blaschko:
Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization. 33-40 - Fumi Kawai, Keisuke Hayata, Jun Ohmiya, Satoshi Kondo, Kiyoko Ishikawa, Masahiro Yamamoto:
Fully Automatic Detection of the Carotid Artery from Volumetric Ultrasound Images Using Anatomical Position-Dependent LBP Features. 41-48 - Annegreet van Opbroek, Mohammad Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne:
A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity. 49-56 - Le Lu, Bing Jian, Dijia Wu, Matthias Wolf:
A New Algorithm of Electronic Cleansing for Weak Faecal-Tagging CT Colonography. 57-65 - Marcel Lüthi, Christoph Jud, Thomas Vetter:
A Unified Approach to Shape Model Fitting and Non-rigid Registration. 66-73 - Mert R. Sabuncu:
A Bayesian Algorithm for Image-Based Time-to-Event Prediction. 74-81 - Veronika A. M. Zimmer, Roger Fonolla, Karim Lekadir, Gemma Piella, Corné Hoogendoorn, Alejandro F. Frangi:
Patient-Specific Manifold Embedding of Multispectral Images Using Kernel Combinations. 82-89 - Katerina Gkirtzou, Jean Honorio, Dimitris Samaras, Rita Z. Goldstein, Matthew B. Blaschko:
fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics. 90-97 - Zehan Wang, Claire R. Donoghue, Daniel Rueckert:
Patch-Based Segmentation without Registration: Application to Knee MRI. 98-105 - Songbai Ji, Xiaoyao Fan, David W. Roberts, Alex Hartov, Keith D. Paulsen:
Flow-Based Correspondence Matching in Stereovision. 106-113 - Pradeep Reddy Raamana, Lei Wang, Mirza Faisal Beg:
Thickness NETwork (ThickNet) Features for the Detection of Prodromal AD. 114-122 - Jianqiao Feng, Xiaoying Tang, Minh Tang, Carey E. Priebe, Michael I. Miller:
Metric Space Structures for Computational Anatomy. 123-130 - Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen:
Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification. 131-138 - Chong-Yaw Wee, Sen Yang, Pew-Thian Yap, Dinggang Shen:
Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification. 139-146 - Melanie Ganz, Mert R. Sabuncu, Koen Van Leemput:
An Improved Optimization Method for the Relevance Voxel Machine. 147-154 - Vittorio Iacovella, Paolo Avesani, Gabriele Miceli:
Disentanglement of Session and Plasticity Effects in Longitudinal fMRI Studies. 155-162 - Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, Dinggang Shen:
Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion. 163-170 - Ender Konukoglu, Melanie Ganz, Koen Van Leemput, Mert R. Sabuncu:
On Feature Relevance in Image-Based Prediction Models: An Empirical Study. 171-178 - Hamidreza Mirzaei, Lisa Tang, René Werner, Ghassan Hamarneh:
Decision Forests with Spatio-Temporal Features for Graph-Based Tumor Segmentation in 4D Lung CT. 179-186 - Tayebeh Lotfi, Lisa Tang, Shawn Andrews, Ghassan Hamarneh:
Improving Probabilistic Image Registration via Reinforcement Learning and Uncertainty Evaluation. 187-194 - Praful Agrawal, Mayank Vatsa, Richa Singh:
HEp-2 Cell Image Classification: A Comparative Analysis. 195-202 - Huafeng Wang, Lihong Li, Hao Han, Rui Shi, Bowen Song, Hao Peng, Yan Liu, Xianfeng Gu, Yunhong Wang, Zhengrong Liang:
A 2.5D Colon Wall Flattening Model for CT-Based Virtual Colonoscopy. 203-210 - Jeremy Kawahara, Chris McIntosh, Roger C. Tam, Ghassan Hamarneh:
Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation. 211-218 - Loc Tran, Frederic D. McKenzie, Jihong Wang, Jiang Li:
Large-Scale Manifold Learning Using an Adaptive Sparse Neighbor Selection Approach for Brain Tumor Progression Prediction. 219-226 - Xiaoke Hao, Daoqiang Zhang:
Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease. 227-234 - Jun Shi, Yin Cai:
Joint Sparse Coding Spatial Pyramid Matching for Classification of Color Blood Cell Image. 235-242 - Manhua Liu, Heung-Il Suk, Dinggang Shen:
Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images. 243-250 - Bo Cheng, Daoqiang Zhang, Biao Jie, Dinggang Shen:
Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction. 251-259
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