東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回上頁

切換: 標籤 | MARC模式 | ISBD

Predictive intelligence in medicine ...

PRIME (Workshop) (2022 :)

FindBook

Google Book

Amazon

博客來

Predictive intelligence in medicine = 5th International Workshop, PRIME 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
Title/Author:	Predictive intelligence in medicine/ edited by Islem Rekik ... [et al.].
Reminder of title:	5th International Workshop, PRIME 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
remainder title:	PRIME 2022
other author:	Rekik, Islem.
corporate name:	PRIME (Workshop)
Published:	Cham :Springer Nature Switzerland : : 2022.,
Description:	xi, 213 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Medical applications -
Online resource:	https://doi.org/10.1007/978-3-031-16919-9
ISBN:	9783031169199

Predictive intelligence in medicine = 5th International Workshop, PRIME 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
Predictive intelligence in medicine5th International Workshop, PRIME 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /[electronic resource] :PRIME 2022edited by Islem Rekik ... [et al.]. - Cham :Springer Nature Switzerland :2022. - xi, 213 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,135640302-9743 ;. - Lecture notes in computer science ;13564..

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.

ISBN: 9783031169199

Standard No.: 10.1007/978-3-031-16919-9doiSubjects--Topical Terms:

660945
Artificial intelligence
--Medical applications

LC Class. No.: R859.7.A78 / P75 2022

Dewey Class. No.: 610.28563

Predictive intelligence in medicine = 5th International Workshop, PRIME 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
LDR:03574nmm a2200361 a 4500 001 2303952
003 DE-He213
005 20220920202236.0
006 m d
007 cr nn 008maaau
008 230409s2022 sz s 0 eng d
020 $a 9783031169199 $q (electronic bk.)
020 $a 9783031169182 $q (paper)
024 7 $a 10.1007/978-3-031-16919-9 $2 doi
035 $a 978-3-031-16919-9
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78 $b P75 2022
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R859.7.A78 $b P953 2022
111 2 $a PRIME (Workshop) $n (5th : $d 2022 : $c Singapore : Online) $3 3605719
245 1 0 $a Predictive intelligence in medicine $h [electronic resource] : $b 5th International Workshop, PRIME 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings / $c edited by Islem Rekik ... [et al.].
246 3 $a PRIME 2022
246 3 $a MICCAI 2022
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2022.
300 $a xi, 213 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 13564
505 0 $a 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.
520 $a 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.
650 0 $a Artificial intelligence $x Medical applications $x Congresses. $3 660945
650 0 $a Predictive analytics $v Congresses. $3 3518011
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Computer Engineering and Networks. $3 3538504
650 2 4 $a Computing Milieux. $3 893243
650 2 4 $a Computer and Information Systems Applications. $3 3538505
700 1 $a Rekik, Islem. $3 3453610
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 13564. $3 3605720
856 4 0 $u https://doi.org/10.1007/978-3-031-16919-9
950 $a Computer Science (SpringerNature-11645)