Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis

<p>Imaging Systems for GI Endoscopy.- Light Adaptation for Classification of the Upper Gastrointestinal Sites.- Criss-Cross Attention based Multi-Level Fusion Network for Gastric Intestinal Metaplasia Segmentation.- Colonoscopy Landmark Detection using Vision Transformers.- Real-Time Lumen Detection for Autonomous Colonoscopy.- SuperPoint Features in Endoscopy.- Estimating the Coverage in 3D Reconstructions of the Colon from Colonoscopy Videos.- Graphs in Biomedical Image Analysis.- Modular Graph Encoding and Hierarchical Readout for Functional Brain Network based eMCI Diagnosis.- Bayesian Filtered Generation of Post-surgical Brain Connectomes on Tumor Patients.- Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation.- Using Hierarchically Connected Nodes and Multiple GNN Message Passing Steps to Increase the Contextual Information in Cell-Graph Classification.- TaG-Net: Topology-aware Graph Network for Vessel Labeling.- Transforming connectomes to “any” parcellation via graph matching.</p>