04671nam 22007095 450 991059504870332120251113203902.09783031169199303116919010.1007/978-3-031-16919-9(CKB)5850000000078639(MiAaPQ)EBC7102032(Au-PeEL)EBL7102032(PPN)264953223(OCoLC)1348508991(DE-He213)978-3-031-16919-9(EXLCZ)99585000000007863920220920d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPredictive Intelligence in Medicine 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings /edited by Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas1st ed. 2022.Cham :Springer Nature Switzerland :Imprint: Springer,2022.1 online resource (224 pages)Lecture Notes in Computer Science,1611-3349 ;135649783031169182 3031169182 Includes bibliographical references and index.Federated Time-dependent GNN Learning from Brain Connectivity Data with Missing Timepoints -- Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing -- Multi-Tracer PET Imaging Using Deep Learning: Applications in Patients with High-Grade Gliomas -- Multiple Instance Neuroimage Transformer -- Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach -- Mixup augmentation improves age prediction from T1-weighted brain MRI scans -- Diagnosing Knee Injuries from MRI with Transformer Based Deep Learning -- MISS-Net: Multi-view contrastive transformer network for MCI stages prediction using brain 18F-FDG PET imaging -- TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation -- Opportunistic hip fracture risk prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study -- Weakly-Supervised TILs Segmentation based on Point Annotations using Transfer Learning with Point Detector and Projected-Boundary Regressor -- Discriminative Deep Neural Network for Predicting Knee OsteoArthritis in Early Stage -- Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-Task Learning on Imaging and Tabular Data -- Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts -- Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets -- Learning subject-specific functional parcellations from cortical surface measures -- A Triplet Contrast Learning of Global and Local Representations for Unannotated Medical Images -- Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification -- Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning.This book constitutes the proceedings of the 5th International Workshop on Predictive Intelligence in Medicine, PRIME 2022, held in conjunction with MICCAI 2022 as a hybrid event in Singapore, in September 2022. The 19 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.Lecture Notes in Computer Science,1611-3349 ;13564Artificial intelligenceComputer engineeringComputer networksComputersApplication softwareArtificial IntelligenceComputer Engineering and NetworksComputing MilieuxComputer and Information Systems ApplicationsArtificial intelligence.Computer engineering.Computer networks.Computers.Application software.Artificial Intelligence.Computer Engineering and Networks.Computing Milieux.Computer and Information Systems Applications.060610.28563Rekik IslemMiAaPQMiAaPQMiAaPQBOOK9910595048703321Predictive Intelligence in Medicine2569032UNINA