Machine learning in medical imaging : 8th International Workshop, MLMI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings /: 8th International Workshop, MLMI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings. (2017)

• Record Type: Book
• Other Titles: MLMI 2017
• Further Information: Note: Qian Wang, Yinghuan Shi, Heung-Il Suk, Kenji Suzuki (eds.).
• Editors: Wang, Qian; Shi, Yinghuan; Suk, Heung-Il; (Professor of engineering), Suzuki, Kenji
• Other Names: MLMI (Workshop), 8th; International Conference on Medical Image Computing and Computer-Assisted Intervention, 20th
• Contents: 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 Alzheimer's 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 in Low-Dose CT Perfusion -- Classification of Alzheimer's 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 Sparse Effective 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.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2017
• Extent: 1 online resource (xv, 391 pages), illustrations
• Subjects: 006.6; Computer science; Machine learning -- Congresses; Diagnostic imaging -- Data processing -- Congresses; Artificial intelligence -- Medical applications -- Congresses; Artificial intelligence -- Medical applications; Diagnostic imaging -- Data processing; Machine learning; Computer Science; Image Processing and Computer Vision; Software Engineering/Programming and Operating Systems; Health Informatics; Data Mining and Knowledge Discovery; Artificial Intelligence (incl. Robotics); Computers -- Software Development & Engineering -- General; Medical -- General; Computers -- Database Management -- Data Mining; Computers -- Intelligence (AI) & Semantics; Software Engineering; Health & safety aspects of IT; Data mining; Artificial intelligence; Computer vision; Software engineering; Medical records -- Data processing; Data mining; Artificial intelligence; Computers -- Computer Graphics; Image processing; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783319673899; 3319673890
• Related ISBNs: 9783319673882; 3319673882
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed September 14, 2017).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.