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Publication search results
found 41 matches
- 2015
- Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab:
Flexible and Latent Structured Output Learning - Application to Histology. MLMI 2015: 220-228 - Yani Chen, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis. MLMI 2015: 304-312 - Bo Cheng, Mingxia Liu, Daoqiang Zhang:
Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease. MLMI 2015: 238-245 - Yanling Chi, Weimin Huang, Jiayin Zhou, Liang Zhong, Swee Yaw Tan, Keng Yung Jih Felix, Low Choon Seng Sheon, Ru San Tan:
A Composite of Features for Learning-Based Coronary Artery Segmentation on Cardiac CT Angiography. MLMI 2015: 271-279 - Noel Codella, Junjie Cai, Mani Abedini, Rahil Garnavi, Alan Halpern, John R. Smith:
Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images. MLMI 2015: 118-126 - Pierre-Henri Conze, François Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux:
Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. MLMI 2015: 212-219 - Marta Nuñez Garcia, Sonja Simpraga, María Ángeles Jurado, Maite Garolera, Roser Pueyo, Laura Igual:
FADR: Functional-Anatomical Discriminative Regions for Rest fMRI Characterization. MLMI 2015: 61-68 - Hongkun Ge, Guorong Wu, Li Wang, Yaozong Gao, Dinggang Shen:
Hierarchical Multi-modal Image Registration by Learning Common Feature Representations. MLMI 2015: 203-211 - Ricardo Guerrero, Christian Ledig, Alexander Schmidt-Richberg, Daniel Rueckert:
Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning. MLMI 2015: 178-185 - Xian-Hua Han, Yen-Wei Chen, Gang Xu:
HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local Descriptor. MLMI 2015: 85-93 - Lei Huang, Yaozong Gao, Yan Jin, Kim-Han Thung, Dinggang Shen:
Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease. MLMI 2015: 246-254 - Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Dinggang Shen:
Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data. MLMI 2015: 321-329 - Yan Jin, Chong-Yaw Wee, Feng Shi, Kim-Han Thung, Pew-Thian Yap, Dinggang Shen:
Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes. MLMI 2015: 170-177 - Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker:
Supervoxel Classification Forests for Estimating Pairwise Image Correspondences. MLMI 2015: 94-101 - Aisha Khan, Stephen Gould, Mathieu Salzmann:
Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development. MLMI 2015: 161-169 - Mohammad Khatami, Tobias Schmidt-Wilcke, Pia C. Sundgren, Amin Abbasloo, Bernhard Schölkopf, Thomas Schultz:
BundleMAP: Anatomically Localized Features from dMRI for Detection of Disease. MLMI 2015: 52-60 - Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi:
Brain Fiber Clustering Using Non-negative Kernelized Matching Pursuit. MLMI 2015: 144-152 - Bai Ying Lei, Siping Chen, Dong Ni, Tianfu Wang:
Joint Learning of Multiple Longitudinal Prediction Models by Exploring Internal Relations. MLMI 2015: 330-337 - Zuoyong Li, Le An, Jun Zhang, Li Wang, James J. Xia, Dinggang Shen:
Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space. MLMI 2015: 69-76 - Xiao Liu, Jun Shi, Qi Zhang:
Tumor Classification by Deep Polynomial Network and Multiple Kernel Learning on Small Ultrasound Image Dataset. MLMI 2015: 313-320 - Qin Liu, Qian Wang, Lichi Zhang, Yaozong Gao, Dinggang Shen:
Multi-atlas Context Forests for Knee MR Image Segmentation. MLMI 2015: 186-193 - Mingxia Liu, Daoqiang Zhang, Dinggang Shen:
Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification. MLMI 2015: 296-303 - Guangkai Ma, Yaozong Gao, Li Wang, Ligang Wu, Dinggang Shen:
Soft-Split Random Forest for Anatomy Labeling. MLMI 2015: 17-25 - Dwarikanath Mahapatra, Joachim M. Buhmann:
Visual Saliency Based Active Learning for Prostate MRI Segmentation. MLMI 2015: 9-16 - Atsuki Masuda, Bisser Raytchev, Takio Kurita, Toru Imamura, Masashi Suzuki, Toru Tamaki, Kazufumi Kaneda:
Automatic Detection of Good/Bad Colonies of iPS Cells Using Local Features. MLMI 2015: 153-160 - Bernard Ng, Anna-Clare Milazzo, André Altmann:
Node-Based Gaussian Graphical Model for Identifying Discriminative Brain Regions from Connectivity Graphs. MLMI 2015: 44-51 - Mohammad Peikari, Judit T. Zubovits, Gina M. Clarke, Anne L. Martel:
Clustering Analysis for Semi-supervised Learning Improves Classification Performance of Digital Pathology. MLMI 2015: 263-270 - Snehashis Roy, Aaron Carass, Jerry L. Prince, Dzung L. Pham:
Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions. MLMI 2015: 194-202 - Suman Sedai, Pallab Kanti Roy, Rahil Garnavi:
Segmentation of Right Ventricle in Cardiac MR Images Using Shape Regression. MLMI 2015: 1-8 - Tong Tong, Katherine R. Gray, Qinquan Gao, Liang Chen, Daniel Rueckert:
Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease. MLMI 2015: 77-84
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