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ORCID5th MLMI@MICCAI 2014: Boston, MA, USA
- Guorong Wu, Daoqiang Zhang, Luping Zhou:
Machine Learning in Medical Imaging - 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings. Lecture Notes in Computer Science 8679, Springer 2014, ISBN 978-3-319-10580-2 - Qian Wang, Guorong Wu, Li Wang
, Pengfei Shi, Weili Lin, Dinggang Shen:
Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development. 1-8 - Lisa M. Koch, Robert Wright, Deniz Vatansever, Vanessa Kyriakopoulou, Christina Malamateniou, Prachi A. Patkee, Mary A. Rutherford, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert:
Graph-Based Label Propagation in Fetal Brain MR Images. 9-16 - Ting Chen, Christophe Chefd'Hotel:
Deep Learning Based Automatic Immune Cell Detection for Immunohistochemistry Images. 17-24 - Ryan Kiros, Karteek Popuri, Dana Cobzas, Martin Jägersand:
Stacked Multiscale Feature Learning for Domain Independent Medical Image Segmentation. 25-32 - Menglin Jiang, Shaoting Zhang, Dimitris N. Metaxas:
Detection of Mammographic Masses by Content-Based Image Retrieval. 33-41 - Chenhui Hu, Xue Hua, Paul M. Thompson, Georges El Fakhri, Quanzheng Li:
Inferring Sources of Dementia Progression with Network Diffusion Model. 42-49 - Cheng Chen, Daniel L. Belavy, Guoyan Zheng:
3D Intervertebral Disc Localization and Segmentation from MR Images by Data-Driven Regression and Classification. 50-58 - Jianjia Zhang, Luping Zhou, Lei Wang, Wanqing Li:
Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification. 59-67 - Zhen Yang, Shenghua Zhong, Aaron Carass, Sarah H. Ying, Jerry L. Prince:
Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression. 68-76 - Ricardo Guerrero, Christian Ledig, Daniel Rueckert:
Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease. 77-84 - Joseph G. Jacobs, Eleftheria Panagiotaki, Daniel C. Alexander:
Gleason Grading of Prostate Tumours with Max-Margin Conditional Random Fields. 85-92 - Yaozong Gao, Li Wang, Yeqin Shao, Dinggang Shen:
Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images. 93-100 - Adnan Mujahid Khan, Korsuk Sirinukunwattana, Nasir M. Rajpoot:
Geodesic Geometric Mean of Regional Covariance Descriptors as an Image-Level Descriptor for Nuclear Atypia Grading in Breast Histology Images. 101-108 - Mohammad Yaqub, Anil Kopuri, Sylvia Rueda, Peter B. Sullivan, Kenneth McCormick, J. Alison Noble:
A Constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation. 109-116 - Youngjin Yoo, Tom Brosch, Anthony Traboulsee, David K. B. Li, Roger C. Tam:
Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation. 117-124 - Hao Chen, Dong Ni, Xin Yang, Shengli Li, Pheng-Ann Heng:
Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer. 125-132 - Mohammad Ali Maraci, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble:
Searching for Structures of Interest in an Ultrasound Video Sequence. 133-140 - Mawulawoé Komlagan, Vinh-Thong Ta, Xingyu Pan, Jean-Philippe Domenger, D. Louis Collins, Pierrick Coupé:
Anatomically Constrained Weak Classifier Fusion for Early Detection of Alzheimer's Disease. 141-148 - Harini Veeraraghavan, Duc Fehr, Charles Ross Schmidtlein, Sinchun Hwang, Joseph O. Deasy:
Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection. 149-156 - Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen:
Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification. 157-164 - Yaozong Gao, Dinggang Shen:
Context-Aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images. 165-173 - Subrahmanyam Gorthi, Alireza Akhondi Asl, Jean-Philippe Thiran, Simon K. Warfield:
Optimal MAP Parameters Estimation in STAPLE - Learning from Performance Parameters versus Image Similarity Information. 174-181 - Assaf Cohen, Ehud Rivlin, Ilan Shimshoni, Edmond Sabo:
Colon Biopsy Classification Using Crypt Architecture. 182-189 - Veronika Cheplygina, David M. J. Tax, Marco Loog, Aasa Feragen:
Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder. 190-197 - Murat Bilgel, Aaron Carass, Susan M. Resnick, Dean F. Wong, Jerry L. Prince:
Deformation Field Correction for Spatial Normalization of PET Images Using a Population-Derived Partial Least Squares Model. 198-206 - Gerard Sanroma, Guorong Wu, Kim-Han Thung, Yanrong Guo, Dinggang Shen:
Novel Multi-Atlas Segmentation by Matrix Completion. 207-214 - João S. Domingos, Richard V. Stebbing, Paul Leeson, J. Alison Noble:
Structured Random Forests for Myocardium Delineation in 3D Echocardiography. 215-222 - Daniel Jacob Tward, Jorge Jovicich, Andrea Soricelli, Giovanni B. Frisoni, Alain Trouvé, Laurent Younes, Michael I. Miller:
Improved Reproducibility of Neuroanatomical Definitions through Diffeomorphometry and Complexity Reduction. 223-230 - Nikhil Singh, Heather D. Couture, J. S. Marron, Charles M. Perou, Marc Niethammer:
Topological Descriptors of Histology Images. 231-239 - Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li:
Robust Deep Learning for Improved Classification of AD/MCI Patients. 240-247 - Snehashis Roy, Aaron Carass, Jerry L. Prince, Dzung L. Pham:
Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation. 248-255 - Hongzhi Wang, Yu Cao, Tanveer F. Syeda-Mahmood:
Multi-atlas Segmentation with Learning-Based Label Fusion. 256-263 - Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen:
Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization. 264-271 - Esther Bron, Marion Smits, John van Swieten, Wiro J. Niessen, Stefan Klein:
Feature Selection Based on SVM Significance Maps for Classification of Dementia. 272-279 - Jiayin Kang, Yaozong Gao, Yao Wu, Guangkai Ma, Feng Shi, Weili Lin, Dinggang Shen:
Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images. 280-288 - Hussam Al-Deen Ashab, Piotr Kozlowski, Larry Goldenberg, Mehdi Moradi:
Solutions for Missing Parameters in Computer-Aided Diagnosis with Multiparametric Imaging Data. 289-296 - Xuchu Wang, Li Wang, Heung-Il Suk, Dinggang Shen:
Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation. 297-305 - Yonggang Shi, Junning Li, Arthur W. Toga:
Persistent Reeb Graph Matching for Fast Brain Search. 306-313 - Chunjun Qian, Li Wang, Ambereen Yousuf, Aytekin Oto, Dinggang Shen:
In Vivo MRI Based Prostate Cancer Identification with Random Forests and Auto-context Model. 314-322 - Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen:
Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images. 323-330
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