Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging

Ethical and Philosophical Issues in Medical Imaging.- Data Poisoning Attack and Defenses in Connectome-based Predictive Models.- Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis.- Separable vs. End-to-End Learning: A critical examination of learning paradigms.- A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools.- User-centered design for surgical innovations: A ventriculostomy case study.- Multimodal Learning and Fusion Across Scales for Clinical Decision Support.- Visually Aware Metadata-guided Supervision for Improved Skin Lesion Classification using Deep Learning.- Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information.- Hybrid Network Based on Cross-modal Feature Fusion for Diagnosis of Alzheimer's Disease.- Topological Data Analysis for Biomedical Imaging.- Future Unruptured Intracranial Aneurysm Growth Prediction using Mesh Convolutional Neural Networks.- TDA-Clustering Strategies for the Characterization of Brain Organoids.- Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.