E-grāmata: Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings

From Large to Small Organ Segmentation in CT Using Regional Context.-
Motion Corruption Detection in Breast DCE-MRI.- Detection and Localization of
Drosophila Egg Chambers in Microscopy Images.- Growing a Random Forest with
Fuzzy Spatial Features for Fully Automatic Artery-specific Coronary Calcium
Scoring.- Atlas of Classifiers for Brain MRI Segmentation.- Dictionary
Learning and Sparse Coding-based Denoising for High-Resolution Task
Functional Connectivity MRI Analysis.- Yet Another ADNI Machine Learning
Paper? Paving The Way Towards Fully-reproducible Research on Classification
of Alzheimers Disease.- Multi-Factorial Age Estimation from Skeletal and
Dental MRI Volumes.- Automatic Classification of Proximal Femur Fractures
Based on Attention Models.- Joint Supervoxel Classification Forest for
Weakly-Supervised Organ Segmentation.- Accurate and Consistent Hippocampus
Segmentation Through Convolutional LSTM and View Ensemble.- STAR:
Spatio-Temporal Architecture for Super-Resolution inLow-Dose CT Perfusion.-
Classification of Alzheimers Disease by Cascaded Convolutional Neural
Networks Using PET Images.- Finding Dense Supervoxel Correspondence of
Cone-Beam Computed Tomography Images.- Multi-Scale Volumetric ConvNet with
Nested Residual Connections for Segmentation of Anterior Cranial Base.-
Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data
for Multi-Status Dementia Diagnosis.- 3D Convolutional Neural Networks with
Graph Refinement for Airway Segmentation Using Incomplete Data Labels.-
Efficient Groupwise Registration for Brain MRI by Fast Initialization.-
Sparse Multi-View Task-centralized Learning for ASD Diagnosis.- Inter-Subject
Similarity Guided Brain Network Modelling for MCI Diagnosis.- Scalable and
Fault Tolerant Platform for Distributed Learning on Private Medical Data.-
Triple-Crossing 2.5D Convolutional Neural Network for Detecting Neuronal
Arbours in 3D Microscopic Images.- Longitudinally-Consistent Parcellation of
Infant Population Cortical Surfaces Based on Functional Connectivity.-
Gradient Boosted Trees for Corrective Learning.- Self-paced Convolutional
Neural Network for Computer Aided Detection in Medical Imaging Analysis.- A
Point Says a Lot: An Interactive Segmentation Method for MR Prostate via
One-Point Labeling.- Collage CNN for Renal Cell Carcinoma Detection from CT.-
Aggregating Deep Convolutional Features for Melanoma Recognition in
Dermoscopy Images.- Localizing Cardiac Structures in Fetal Heart Ultrasound
Video.- Deformable Registration Through Learning of Context-Specific Metric
Aggregation.- Segmentation of Craniomaxillofacial Bony Structures from MRI
with a 3D Deep-learning Based Cascade Framework.- 3D U-net with Multi-Level
Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR
Images.- Indecisive Trees for Classification and Prediction of Knee
Osteoarthritis.- Whole Brain Segmentation and Labeling from CT using
synthetic MR Images.- Structural Connectivity Guided SparseEffective
Connectivity for MCI Identification.- Fusion of High-order and Low-order
Effective Connectivity Networks for MCI Classification.- Novel Effective
Connectivity Network Inference for MCI Identification.- Reconstruction of
Thin-Slice Medical Images Using Generative Adversarial Network.- Neural
Network Convolution (NNC) for Converting Ultra-Low-Dose to Virtual
High-Dose CT Images.- Deep-Fext: Deep Feature Extraction for Vessel
Segmentation and Centerline Prediction.- Product Space Decompositions for
Continuous Representations of Brain Connectivity.- Identifying Autism from
Resting-State fMRI Using Long Short-Term Memory Networks.- Machine Learning
for Large-Scale Quality Control of 3D Shape Models in Neuroimaging.- Tversky
Loss Function for Image Segmentation Using 3D Fully Convolutional Deep
Networks.