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001449867 001__ 1449867
001449867 003__ OCoLC
001449867 005__ 20230310004422.0
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001449867 008__ 220928s2022\\\\sz\a\\\\o\\\\\101\0\eng\d
001449867 019__ $$a1345581850
001449867 020__ $$a9783031169199$$q(electronic bk.)
001449867 020__ $$a3031169190$$q(electronic bk.)
001449867 020__ $$z9783031169182
001449867 020__ $$z3031169182
001449867 0247_ $$a10.1007/978-3-031-16919-9$$2doi
001449867 035__ $$aSP(OCoLC)1346148832
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001449867 049__ $$aISEA
001449867 050_4 $$aR859.7.A78
001449867 08204 $$a610.285/63$$223/eng/20220928
001449867 1112_ $$aPRIME (Workshop)$$n(5th :$$d2022 :$$cSingapore : Online)
001449867 24510 $$aPredictive intelligence in medicine :$$b5th International Workshop, PRIME 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings /$$cIslem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas (eds.).
001449867 24630 $$aPRIME 2022
001449867 264_1 $$aCham :$$bSpringer,$$c[2022]
001449867 264_4 $$c©2022
001449867 300__ $$a1 online resource (xi, 213 pages) :$$billustrations (chiefly color).
001449867 336__ $$atext$$btxt$$2rdacontent
001449867 337__ $$acomputer$$bc$$2rdamedia
001449867 338__ $$aonline resource$$bcr$$2rdacarrier
001449867 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13564
001449867 500__ $$aInternational conference proceedings.
001449867 500__ $$aIncludes author index.
001449867 5050_ $$aFederated Time-dependent GNN Learning from Brain Connectivity Data with Missing Timepoints -- Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing -- Multi-Tracer PET Imaging Using Deep Learning: Applications in Patients with High-Grade Gliomas -- Multiple Instance Neuroimage Transformer -- Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach -- Mixup augmentation improves age prediction from T1-weighted brain MRI scans -- Diagnosing Knee Injuries from MRI with Transformer Based Deep Learning -- MISS-Net: Multi-view contrastive transformer network for MCI stages prediction using brain 18F-FDG PET imaging -- TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation -- Opportunistic hip fracture risk prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study -- Weakly-Supervised TILs Segmentation based on Point Annotations using Transfer Learning with Point Detector and Projected-Boundary Regressor -- Discriminative Deep Neural Network for Predicting Knee OsteoArthritis in Early Stage -- Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-Task Learning on Imaging and Tabular Data -- Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts -- Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets -- Learning subject-specific functional parcellations from cortical surface measures -- A Triplet Contrast Learning of Global and Local Representations for Unannotated Medical Images -- Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification -- Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning.
001449867 506__ $$aAccess limited to authorized users.
001449867 520__ $$aThis book constitutes the proceedings of the 5th International Workshop on Predictive Intelligence in Medicine, PRIME 2022, held in conjunction with MICCAI 2022 as a hybrid event in Singapore, in September 2022. The 19 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.
001449867 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 28, 2022).
001449867 650_0 $$aArtificial intelligence$$xMedical applications$$vCongresses.
001449867 650_0 $$aPredictive analytics$$vCongresses.
001449867 655_0 $$aElectronic books.
001449867 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001449867 655_7 $$aConference papers and proceedings.$$2lcgft
001449867 7001_ $$aRekik, Islem,$$eeditor.
001449867 7001_ $$aAdeli, Ehsan,$$eeditor.
001449867 7001_ $$aPark, Sang Hyun,$$eeditor.
001449867 7001_ $$aCintas, Celia,$$eeditor.
001449867 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(25th :$$d2022 :$$cSingapore : Online)
001449867 77608 $$iPrint version: $$z3031169182$$z9783031169182$$w(OCoLC)1342105832
001449867 830_0 $$aLecture notes in computer science ;$$v13564.$$x1611-3349
001449867 852__ $$bebk
001449867 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16919-9$$zOnline Access$$91397441.1
001449867 909CO $$ooai:library.usi.edu:1449867$$pGLOBAL_SET
001449867 980__ $$aBIB
001449867 980__ $$aEBOOK
001449867 982__ $$aEbook
001449867 983__ $$aOnline
001449867 994__ $$a92$$bISE