Predictive Intelligence in Medicine

<p>Context-Aware Synergetic Multiplex Network for Multi-Organ Segmentation of Cervical Cancer MRI.- Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation.- Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping.- Learned deep radiomics for survival analysis with attention.- Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging.- Joint Clinical Data and CT Image based Prognosis: A Case Study on Postoperative Pulmonary Venous Obstruction Prediction.- Low-Dose CT Denoising using Octave Convolution with High and Low Frequency bands.- Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases.- Inpainting Cropped Diffusion MRI using Deep Generative Models.- Multi-View Brain HyperConnectome AutoEncoder For Brain State Classification.- Foreseeing Brain Graph Evolution Over Time Using Deep Adversarial Network Normalizer.- Longitudinal prediction of anatomical changes of parotid glands.- Deep Parametric Mixtures for Modeling the Functional Connectome.- Deep EvoGraphNet Architecture For Time-Dependent Brain Graph Data Synthesis From a Single Timepoint.- Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction.- mr² NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography.- Template-oriented Multi-task Sparse Low-rank Learning for Parkinson's Diseases Diagnosis.- Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment.</p><br><p></p>