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Intro -- Preface -- Organization -- Contents -- Healthcare: Medical Imaging and Informatics -- Data Characterization for Reliable AI in Medicine -- 1 Introduction -- 2 Data Characteristics: Definitions -- 3 Recent Works Addressing Data Characteristics -- 4 Conclusion -- References -- Alzheimer's Disease Detection Using Ensemble Learning and Artificial Neural Networks -- 1 Introduction -- 1.1 Context -- 1.2 Related Works -- 1.3 Problem Identification -- 1.4 Contribution Outline -- 2 Experiments -- 2.1 Data and Pre-processing -- 2.2 Abbreviations -- 2.3 Model Architectures -- 2.4 Evaluation Protocol and Performance Metrics -- 2.5 Results Analysis -- 3 Conclusion -- References -- Semi-supervised Multi-domain Learning for Medical Image Classification -- 1 Introduction -- 2 Methods -- 2.1 Preliminaries -- 2.2 Residual Adapters -- 2.3 Multi-domain Semi-supervised Training -- 3 Experimental Setup -- 4 Results and Discussion -- 5 Conclusion -- References -- Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder Detection -- 1 Introduction -- 2 Related Work -- 3 Motivations and Contributions -- 4 Proposed Approach -- 4.1 Preprocessing -- 4.2 Regions of Interest (ROI) Selection -- 4.3 Data Augmentation -- 4.4 LeNet-5 Based Deep Neural Network for ASD Detection -- 5 Results and Experiments -- 5.1 Dataset -- 5.2 Implementation Details -- 5.3 Performances -- 5.4 Comparison with State of Art Methods -- 6 Conclusion and Future Work -- References -- 2D Respiratory Sound Analysis to Detect Lung Abnormalities -- 1 Introduction -- 2 Related Works -- 3 Experiments -- 3.1 Dataset -- 3.2 Model Architecture and Implementation -- 3.3 Inception-V3 Architecture -- 3.4 Results and Analysis -- 4 Conclusion -- References.