Title Predictive intelligence in medicine : second International Workshop, PRIME 2019, held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / Islem Rekik, Ehsan Adeli, Sang Hyun Park (eds.)

Published Cham, Switzerland : Springer, 2019

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Description 1 online resource (xiii, 178 pages) : illustrations (some color) Series Lecture notes in computer science ; 11843 LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics Lecture notes in computer science ; 11843. LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics. Contents Intro; Preface; What Are the Key Challenges We Aim to Address?; Key Highlights; Organization; Contents; TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data; 1 Introduction; 2 Competition Design; 3 ADNI Data Aggregation and Processing; 3.1 TADPOLE Datasets; 4 Submissions and Evaluation; 5 Results; 6 Discussion; References; Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility Study; 1 Introduction; 2 Background; 3 Method; 3.1 Pretreatment Phase; 3.2 Online Motion Prediction; 4 Experiments and Results 5 Discussion and ConclusionReferences; Adaptive Neuro-Fuzzy Inference System-Based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-State fMRI; 1 Introduction; 2 Methodology; 2.1 Grey Wolf Optimization Algorithm (GWO); 2.2 The New Hybrid Kernel-Based CBGWO Model; 3 Application on fMRI-Based MCI Recognition; 3.1 Participants and Data Acquisition; 3.2 Pipeline and Phases of CBGWO-ANFIS; 4 Experimental Results and Discussion; 4.1 CBGWO-Based Feature Selection; 4.2 Diagnosis Based on ANFIS; 5 Conclusion and Future Work; References Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk ScreeningAbstract; 1 Introduction; 2 Methodology; 2.1 Data Preprocessing; 2.2 FBAS-LSTM; 3 Experimental Setting and Results; 3.1 Dataset and Implementation; 3.2 Results; 4 Conclusion; References; Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning; 1 Introduction; 2 Self-supervised Learning of Spatio-Temporal Representations; 3 Experiments and Results; 3.1 Dataset; 3.2 Learning the Pretext Task 3.3 Conversion to Advanced AMD Classification4 Discussion and Conclusions; References; Predicting Response to the Antidepressant Bupropion Using Pretreatment fMRI; 1 Introduction; 2 Methods; 2.1 Materials; 2.2 Image Preprocessing; 2.3 Construction of Deep Learning Predictive Models; 3 Results and Discussion; 3.1 Neural Architecture Search (NAS); 3.2 Learned Neuroimaging Biomarker; 4 Conclusions; References; Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection; 1 Introduction 2 Bidirectionally Supervised Progressive Brain Connectome Evolution Trajectory Prediction3 Results and Discussion; 4 Conclusion; References; Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model; 1 Introduction; 2 Methods; 2.1 Concept; 2.2 Loss Function; 3 Evaluation; 3.1 SEER Incidence Dataset; 3.2 Rossi Criminal Recidivism Dataset; 3.3 mCRC Dataset; 4 Discussion; References Summary This book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 18 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 Notes International conference proceedings Includes author index Online resource; title from PDF title page (SpringerLink, viewed October 15, 2019) Subject Artificial intelligence -- Medical applications -- Congresses Artificial intelligence -- Medical applications Genre/Form Electronic books proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Rekik, Islem, editor. Adeli, Ehsan, editor. Park, Sang Hyun, editor. International Conference on Medical Image Computing and Computer-Assisted Intervention (22nd : 2019 : Shenzhen Shi, China), jointly held conference. ISBN 9783030322816 3030322815

Other Titles PRIME 2019

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