{"total":22,"rows":[{"id":"2104.04883","title":"Graph Representation Learning in Biomedicine","created":"2021-04-11","cited_by_count":80,"area":null},{"id":"2105.09937","title":"AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray","created":"2021-05-20","cited_by_count":19,"area":null},{"id":"2305.12072","title":"Chest X-ray Image Classification: A Causal Perspective","created":"2023-05-20","cited_by_count":8,"area":null},{"id":"2309.15529","title":"Missing-modality Enabled Multi-modal Fusion Architecture for Medical Data","created":"2023-09-27","cited_by_count":8,"area":null},{"id":"2210.07309","title":"SHINE: SubHypergraph Inductive Neural nEtwork","created":"2022-10-13","cited_by_count":7,"area":null},{"id":"2311.07750","title":"SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification","created":"2023-11-13","cited_by_count":5,"area":null},{"id":"2212.12719","title":"MURPHY: Relations Matter in Surgical Workflow Analysis","created":"2022-12-24","cited_by_count":3,"area":null},{"id":"2305.05344","title":"Trustworthy Multi-phase Liver Tumor Segmentation via Evidence-based Uncertainty","created":"2023-05-09","cited_by_count":3,"area":null},{"id":"2306.01232","title":"Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance","created":"2023-06-02","cited_by_count":3,"area":null},{"id":"2311.15213","title":"Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation","created":"2023-11-26","cited_by_count":3,"area":null},{"id":"2305.12070","title":"Instrumental Variable Learning for Chest X-ray Classification","created":"2023-05-20","cited_by_count":2,"area":null},{"id":"2406.02990","title":"Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification","created":"2024-06-05","cited_by_count":1,"area":null},{"id":"2202.13428","title":"Distribution Preserving Graph Representation Learning","created":"2022-02-27","cited_by_count":0,"area":null},{"id":"2203.02794","title":"Machine Learning Applications in Lung Cancer Diagnosis, Treatment and Prognosis","created":"2022-03-05","cited_by_count":0,"area":null},{"id":"2311.02278","title":"Machine learning's own Industrial Revolution","created":"2023-11-04","cited_by_count":0,"area":null},{"id":"2311.07321","title":"Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images","created":"2023-11-13","cited_by_count":0,"area":null},{"id":"2410.17494","title":"Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning","created":"2024-10-23","cited_by_count":0,"area":null},{"id":"2503.00657","title":"Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images","created":"2025-03-01","cited_by_count":0,"area":null},{"id":"2505.11168","title":"CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer","created":"2025-05-16","cited_by_count":0,"area":null},{"id":"2508.18613","title":"ModAn-MulSupCon: Modality-and Anatomy-Aware Multi-Label Supervised Contrastive Pretraining for Medical Imaging","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2605.02292","title":"Momentum-Anchored Multi-Scale Fusion Model for Long-Tailed Chest X-Ray Classification","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2609.10988","title":"Exponential Pixelating Integral transform with dual fractal features for enhanced chest X-ray abnormality detection","created":"2026-09-10","cited_by_count":0,"area":null}],"next_cursor":null}