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Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings

✍ Scribed by Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk (eds.)


Publisher
Springer International Publishing
Year
2016
Tongue
English
Leaves
336
Series
Lecture Notes in Computer Science 10019
Category
Library

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✦ Table of Contents


Front Matter....Pages I-XIV
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph....Pages 1-9
Bilateral Regularization in Reproducing Kernel Hilbert Spaces for Discontinuity Preserving Image Registration....Pages 10-17
Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection....Pages 18-26
Building an Ensemble of Complementary Segmentation Methods by Exploiting Probabilistic Estimates....Pages 27-35
Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life....Pages 36-44
Detecting Osteophytes in Radiographs of the Knee to Diagnose Osteoarthritis....Pages 45-52
Direct Estimation of Fiber Orientations Using Deep Learning in Diffusion Imaging....Pages 53-60
Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image....Pages 61-68
Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images....Pages 69-76
Joint Discriminative and Representative Feature Selection for Alzheimer’s Disease Diagnosis....Pages 77-85
Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method....Pages 86-94
Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework....Pages 95-103
A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation....Pages 104-112
Deep Ensemble Sparse Regression Network for Alzheimer’s Disease Diagnosis....Pages 113-121
Learning Representation for Histopathological Image with Quaternion Grassmann Average Network....Pages 122-129
Learning Global and Cluster-Specific Classifiers for Robust Brain Extraction in MR Data....Pages 130-138
Cross-Modality Anatomical Landmark Detection Using Histograms of Unsigned Gradient Orientations and Atlas Location Autocontext....Pages 139-146
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection....Pages 147-155
Segmentation-Free Estimation of Kidney Volumes in CT with Dual Regression Forests....Pages 156-163
Multi-resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers....Pages 164-171
Retinal Image Quality Classification Using Saliency Maps and CNNs....Pages 172-179
Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort....Pages 180-187
Tree-Based Transforms for Privileged Learning....Pages 188-195
Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment....Pages 196-204
Learning for Graph-Based Sensorless Freehand 3D Ultrasound....Pages 205-212
Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling....Pages 213-220
Transductive Maximum Margin Classification of ADHD Using Resting State fMRI....Pages 221-228
Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images....Pages 229-236
Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs....Pages 237-245
Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis....Pages 246-253
Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement....Pages 254-261
Structure Fusion for Automatic Segmentation of Left Atrial Aneurysm Based on Deep Residual Networks....Pages 262-270
Tumor Lesion Segmentation from 3D PET Using a Machine Learning Driven Active Surface....Pages 271-278
Iterative Dual LDA: A Novel Classification Algorithm for Resting State fMRI....Pages 279-286
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields....Pages 287-295
Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI....Pages 296-304
Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI....Pages 305-312
Fast Neuroimaging-Based Retrieval for Alzheimer’s Disease Analysis....Pages 313-321
Back Matter....Pages 323-324

✦ Subjects


Image Processing and Computer Vision;Pattern Recognition;Health Informatics;Data Mining and Knowledge Discovery;Artificial Intelligence (incl. Robotics)


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