Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings ... Notes in Computer Science Book 10019)

This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 38 full papers presented in this volume were carefully reviewed and selected from 60 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging. 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