{"total":26,"rows":[{"id":"2411.16778","title":"GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis","created":"2024-11-25","cited_by_count":29,"area":null},{"id":"2411.15539","title":"Large Language Model with Region-guided Referring and Grounding for CT Report Generation","created":"2024-11-23","cited_by_count":28,"area":null},{"id":"2407.16684","title":"AutoRG-Brain: Grounded Report Generation for Brain MRI","created":"2024-07-23","cited_by_count":24,"area":null},{"id":"2505.16229","title":"CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering","created":"2025-05-22","cited_by_count":21,"area":null},{"id":"2410.21348","title":"Large Language Model Benchmarks in Medical Tasks","created":"2024-10-28","cited_by_count":17,"area":null},{"id":"2507.22030","title":"ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports","created":"2025-07-29","cited_by_count":17,"area":null},{"id":"2504.21336","title":"UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation","created":"2025-04-30","cited_by_count":10,"area":null},{"id":"2508.05375","title":"CT-GRAPH: Hierarchical Graph Attention Network for Anatomy-Guided CT Report Generation","created":"2025-08-07","cited_by_count":8,"area":null},{"id":"2602.18064","title":"3DMedAgent: Unified Perception-to-Understanding for 3D Medical Analysis","created":"2026-02-20","cited_by_count":5,"area":null},{"id":"2504.09967","title":"Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data","created":"2025-04-14","cited_by_count":2,"area":null},{"id":"2506.03238","title":"Rethinking Whole-Body CT Image Interpretation: An Abnormality-Centric Approach","created":"2025-06-03","cited_by_count":2,"area":null},{"id":"2509.01360","title":"M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision","created":"2025-09-01","cited_by_count":2,"area":null},{"id":"2511.20145","title":"Vision-Language Models for Automated 3D PET/CT Report Generation","created":"2025-11-25","cited_by_count":2,"area":null},{"id":"2411.05261","title":"Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generation","created":"2024-11-08","cited_by_count":1,"area":null},{"id":"2506.09634","title":"HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding","created":"2025-06-11","cited_by_count":1,"area":null},{"id":"2506.19217","title":"MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2511.13001","title":"Medal S: Spatio-Textual Prompt Model for Medical Segmentation","created":"2025-11-17","cited_by_count":1,"area":null},{"id":"2603.06681","title":"RADAR: A Multimodal Benchmark for 3D Image-Based Radiology Report Review","created":"2026-03-04","cited_by_count":1,"area":null},{"id":"2603.17718","title":"DiffVP: Differential Visual Semantic Prompting for LLM-Based CT Report Generation","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2607.22771","title":"When Do Cheap Probes Predict Expensive Training? Probing 3D-CT Encoders for Text Generation","created":"2026-07-24","cited_by_count":1,"area":null},{"id":"2510.02322","title":"SpeechCT-CLIP: Distilling Text-Image Knowledge to Speech for Voice-Native Multimodal CT Analysis","created":"2025-09-24","cited_by_count":0,"area":null},{"id":"2603.00985","title":"The Texture-Shape Dilemma: Boundary-Safe Synthetic Generation for 3D Medical Transformers","created":"2026-03-01","cited_by_count":0,"area":null},{"id":"2603.04878","title":"Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation","created":"2026-03-05","cited_by_count":0,"area":null},{"id":"2603.12469","title":"Unleashing Video Language Models for Fine-grained HRCT Report Generation","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2605.17368","title":"RadGenome-Anatomy: A Large-Scale Anatomy-Labeled Chest Radiograph Dataset via Physically Grounded Volumetric Projection","created":"2026-05-17","cited_by_count":0,"area":null},{"id":"2609.36189","title":"FD-AA: A Lightweight Focal-Diffuse And Attenuation-Aware Head for Incidental Abdominal Abnormality Detection in Chest CT","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}