{"total":145,"rows":[{"id":"2503.18968","title":"MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow","created":"2025-03-21","cited_by_count":73,"area":"lr"},{"id":"2501.09695","title":"Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key","created":"2025-01-16","cited_by_count":65,"area":"mllm"},{"id":"2410.06542","title":"MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging","created":"2024-10-09","cited_by_count":46,"area":null},{"id":"2508.21148","title":"A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers","created":"2025-08-28","cited_by_count":37,"area":"agents"},{"id":"2501.04678","title":"RadGPT: Constructing 3D Image-Text Tumor Datasets","created":"2025-01-08","cited_by_count":36,"area":null},{"id":"2410.00379","title":"CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset","created":"2024-10-01","cited_by_count":35,"area":null},{"id":"2411.05085","title":"PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation","created":"2024-11-07","cited_by_count":35,"area":null},{"id":"2407.02235","title":"Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation","created":"2024-07-02","cited_by_count":31,"area":"mllm"},{"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":"2505.00228","title":"ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports","created":"2025-05-01","cited_by_count":27,"area":null},{"id":"2410.03334","title":"An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation","created":"2024-10-04","cited_by_count":25,"area":"mechinterp"},{"id":"2411.15122","title":"ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation","created":"2024-11-22","cited_by_count":25,"area":null},{"id":"2502.03333","title":"RadVLM: A Multitask Conversational Vision-Language Model for Radiology","created":"2025-02-05","cited_by_count":25,"area":"mllm"},{"id":"2410.18387","title":"Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks","created":"2024-10-24","cited_by_count":24,"area":"mllm"},{"id":"2510.15042","title":"Comprehensive language-image pre-training for 3D medical image understanding","created":"2025-10-16","cited_by_count":22,"area":"mllm"},{"id":"2408.16213","title":"M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation","created":"2024-08-29","cited_by_count":17,"area":"mllm"},{"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":"2406.05213","title":"On Subjective Uncertainty Quantification and Calibration in Natural Language Generation","created":"2024-06-07","cited_by_count":16,"area":null},{"id":"2504.21051","title":"Multimodal Large Language Models for Medicine: A Comprehensive Survey","created":"2025-04-29","cited_by_count":16,"area":"mllm"},{"id":"2501.03458","title":"Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation","created":"2025-01-07","cited_by_count":13,"area":null},{"id":"2411.18672","title":"FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models","created":"2024-11-27","cited_by_count":12,"area":null},{"id":"2502.20509","title":"CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding","created":"2025-02-27","cited_by_count":11,"area":"mllm"},{"id":"2609.27607","title":"Can Jev Judge Radiology Reports? Evaluating a System One Model for Clinical Factuality","created":"2026-09-23","cited_by_count":11,"area":null},{"id":"2505.22079","title":"Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation-Aware Learning for Medical Analysis","created":"2025-05-28","cited_by_count":10,"area":null},{"id":"2511.23269","title":"OctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning","created":"2025-11-28","cited_by_count":10,"area":"lr"},{"id":"2506.18378","title":"Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review","created":"2025-06-23","cited_by_count":9,"area":"mllm"},{"id":"2603.06183","title":"CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation","created":"2026-03-06","cited_by_count":9,"area":null},{"id":"2505.02830","title":"AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation","created":"2025-05-05","cited_by_count":8,"area":null},{"id":"2505.03401","title":"DDaTR: Dynamic Difference-aware Temporal Residual Network for Longitudinal Radiology Report Generation","created":"2025-05-06","cited_by_count":8,"area":null},{"id":"2505.11852","title":"MedSG-Bench: A Benchmark for Medical Image Sequences Grounding","created":"2025-05-17","cited_by_count":8,"area":"lr"},{"id":"2505.21190","title":"Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation","created":"2025-05-27","cited_by_count":8,"area":null},{"id":"2506.09095","title":"Foundation Models in Medical Imaging: A Review and Outlook","created":"2025-06-10","cited_by_count":8,"area":null},{"id":"2506.13063","title":"PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue","created":"2025-06-16","cited_by_count":8,"area":null},{"id":"2509.20490","title":"RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows","created":"2025-09-24","cited_by_count":8,"area":"agents"},{"id":"2408.14397","title":"Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs","created":"2024-08-26","cited_by_count":7,"area":null},{"id":"2409.13321","title":"SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation","created":"2024-09-20","cited_by_count":7,"area":null},{"id":"2411.11362","title":"MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models","created":"2024-11-18","cited_by_count":7,"area":"mllm"},{"id":"2508.09566","title":"A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation","created":"2025-08-13","cited_by_count":7,"area":null},{"id":"2509.06617","title":"MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis","created":"2025-09-08","cited_by_count":7,"area":null},{"id":"2510.21324","title":"CXRAgent: Director-Orchestrated Multi-Stage Reasoning for Chest X-Ray Interpretation","created":"2025-10-24","cited_by_count":7,"area":"lr"},{"id":"2410.08397","title":"VoxelPrompt: A Vision Agent for End-to-End Medical Image Analysis","created":"2024-10-10","cited_by_count":6,"area":null},{"id":"2505.17436","title":"Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal Learning","created":"2025-05-23","cited_by_count":6,"area":"mllm"},{"id":"2505.18087","title":"CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays","created":"2025-05-23","cited_by_count":6,"area":"lr"},{"id":"2506.23102","title":"Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation","created":"2025-06-29","cited_by_count":6,"area":"mllm"},{"id":"2508.02082","title":"S-RRG-Bench: Structured Radiology Report Generation with Fine-Grained Evaluation Framework","created":"2025-08-04","cited_by_count":6,"area":null},{"id":"2510.20967","title":"3DReasonKnee: Advancing Grounded Reasoning in Medical Vision Language Models","created":"2025-10-23","cited_by_count":6,"area":"lr"},{"id":"2606.03417","title":"A unified multi-task framework enables interpretable chest radiograph analysis","created":"2026-06-02","cited_by_count":6,"area":null},{"id":"2412.04606","title":"Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation","created":"2024-12-05","cited_by_count":5,"area":null},{"id":"2502.09242","title":"From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine","created":"2025-02-13","cited_by_count":5,"area":"diffusion"},{"id":"2506.22900","title":"MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering","created":"2025-06-28","cited_by_count":5,"area":null},{"id":"2507.16940","title":"AURA: A Multi-Modal Medical Agent for Understanding, Reasoning & Annotation","created":"2025-07-22","cited_by_count":5,"area":"lr"},{"id":"2509.03906","title":"Toward Clinically Explainable AI for Medical Diagnosis: A Foundation Model with Human-Compatible Reasoning via Reinforcement Learning","created":"2025-09-04","cited_by_count":5,"area":"lr"},{"id":"2509.12818","title":"Data Scaling Laws for Radiology Foundation Models","created":"2025-09-16","cited_by_count":5,"area":null},{"id":"2512.16201","title":"Visual Alignment of Medical Vision-Language Models for Grounded Radiology Report Generation","created":"2025-12-18","cited_by_count":5,"area":"mllm"},{"id":"2601.06847","title":"MedGround: Bridging the Evidence Gap in Medical Vision-Language Models with Verified Grounding Data","created":"2026-01-11","cited_by_count":5,"area":"mllm"},{"id":"2604.00493","title":"A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation","created":"2026-04-01","cited_by_count":5,"area":"lr"},{"id":"2411.10224","title":"EVOKE: Elevating Chest X-ray Report Generation via Multi-View Contrastive Learning and Patient-Specific Knowledge","created":"2024-11-15","cited_by_count":4,"area":null},{"id":"2510.27680","title":"PETAR: Localized Findings Generation with Mask-Aware Vision-Language Modeling for PET Automated Reporting","created":"2025-10-31","cited_by_count":4,"area":null},{"id":"2512.10691","title":"Enhancing Radiology Report Generation and Visual Grounding using Reinforcement Learning","created":"2025-12-11","cited_by_count":4,"area":"mllm"},{"id":"2505.22222","title":"Look & Mark: Leveraging Radiologist Eye Fixations and Bounding boxes in Multimodal Large Language Models for Chest X-ray Report Generation","created":"2025-05-28","cited_by_count":3,"area":"mllm"},{"id":"2508.02808","title":"Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation","created":"2025-08-04","cited_by_count":3,"area":null},{"id":"2510.12444","title":"A Review of Longitudinal Radiology Report Generation: Dataset Composition, Methods, and Performance Evaluation","created":"2025-10-14","cited_by_count":3,"area":null},{"id":"2512.13240","title":"Reflective Preference Optimization (RPO): Enhancing On-Policy Alignment via Hint-Guided Reflection","created":"2025-12-15","cited_by_count":3,"area":"mllm"},{"id":"2604.10437","title":"Enhancing Fine-Grained Spatial Grounding in 3D CT Report Generation via Discriminative Guidance","created":"2026-04-12","cited_by_count":3,"area":null},{"id":"2509.21356","title":"Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports","created":"2025-09-20","cited_by_count":2,"area":"mllm"},{"id":"2510.00428","title":"Automated Structured Radiology Report Generation with Rich Clinical Context","created":"2025-10-01","cited_by_count":2,"area":null},{"id":"2510.18303","title":"Proactive Reasoning-with-Retrieval Framework for Medical Multimodal Large Language Models","created":"2025-10-21","cited_by_count":2,"area":"lr"},{"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":"2512.20344","title":"A DeepSeek-Powered AI System for Automated Chest Radiograph Interpretation in Clinical Practice","created":"2025-12-23","cited_by_count":2,"area":null},{"id":"2602.02963","title":"TRACE: Temporal Radiology with Anatomical Change Explanation for Grounded X-ray Report Generation","created":"2026-02-03","cited_by_count":2,"area":null},{"id":"2602.22843","title":"A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling","created":"2026-02-26","cited_by_count":2,"area":null},{"id":"2604.03376","title":"Towards Better Aligned LLM Judges for Radiology Report Evaluation across Modalities and Anatomies","created":"2026-04-03","cited_by_count":2,"area":null},{"id":"2607.01436","title":"Discrete Diffusion Language Models for Interactive Radiology Report Drafting","created":"2026-07-01","cited_by_count":2,"area":"diffusion"},{"id":"2607.11175","title":"The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy","created":"2026-07-13","cited_by_count":2,"area":"mllm"},{"id":"2409.02608","title":"A Medical Multimodal Large Language Model for Pediatric Pneumonia","created":"2024-09-04","cited_by_count":1,"area":null},{"id":"2502.20560","title":"Towards Statistical Factuality Guarantee for Large Vision-Language Models","created":"2025-02-27","cited_by_count":1,"area":"mllm"},{"id":"2503.03278","title":"Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions","created":"2025-03-05","cited_by_count":1,"area":"mllm"},{"id":"2505.15248","title":"VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2506.10633","title":"Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models","created":"2025-06-12","cited_by_count":1,"area":"diffusion"},{"id":"2507.19398","title":"CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays","created":"2025-07-25","cited_by_count":1,"area":null},{"id":"2508.04572","title":"Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding","created":"2025-08-06","cited_by_count":1,"area":"lr"},{"id":"2509.15234","title":"Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays","created":"2025-09-17","cited_by_count":1,"area":null},{"id":"2509.21351","title":"Random Direct Preference Optimization for Radiography Report Generation","created":"2025-09-19","cited_by_count":1,"area":"alignment"},{"id":"2510.23217","title":"Process Reward Models for Sentence-Level Verification of LVLM Radiology Reports","created":"2025-10-27","cited_by_count":1,"area":"lr"},{"id":"2512.01085","title":"Generalised Medical Phrase Grounding","created":"2025-11-30","cited_by_count":1,"area":null},{"id":"2601.03191","title":"AnatomiX, an Anatomy-Aware Grounded Multimodal Large Language Model for Chest X-Ray Interpretation","created":"2026-01-06","cited_by_count":1,"area":"lr"},{"id":"2601.15408","title":"CURE: Curriculum-guided Multi-task Training for Reliable Anatomy Grounded Report Generation","created":"2026-01-21","cited_by_count":1,"area":"mllm"},{"id":"2602.17017","title":"Sales Research Agent and Sales Research Bench","created":"2025-12-01","cited_by_count":1,"area":null},{"id":"2603.16876","title":"Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation","created":"2026-02-17","cited_by_count":1,"area":"agents"},{"id":"2604.01915","title":"Enhancing Medical Visual Grounding via Knowledge-guided Spatial Prompts","created":"2026-04-02","cited_by_count":1,"area":null},{"id":"2605.11304","title":"CheXTemporal: A Dataset for Temporally-Grounded Reasoning in Chest Radiography","created":"2026-05-11","cited_by_count":1,"area":"lr"},{"id":"2605.17436","title":"Medical Context Distorts Decisions in Clinical Vision Language Models","created":"2026-05-17","cited_by_count":1,"area":"mllm"},{"id":"2605.19374","title":"Concept-Guided Noisy Negative Suppression for Zero-Shot Classification and Grounding of Chest X-Ray Findings","created":"2026-05-19","cited_by_count":1,"area":null},{"id":"2605.31437","title":"Astra: a generalizable report generation foundation model for 3D computed tomography","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2606.01049","title":"Beyond Captions: Context-Grounded Reconstruction for Biomedical Multimodal Continued Pretraining","created":"2026-05-31","cited_by_count":1,"area":null},{"id":"2606.06407","title":"A Vision-language Framework for Comparative Reasoning in Radiology","created":"2026-06-04","cited_by_count":1,"area":null},{"id":"2606.18609","title":"Hallucination Detection and Correction in Medical VLMs via Counter-Evidence Verification","created":"2026-06-17","cited_by_count":1,"area":"mllm"},{"id":"2606.21020","title":"CheXpercept: A Benchmark for Evaluating Expert-Level Lesion Perception in Chest X-rays","created":"2026-06-19","cited_by_count":1,"area":"mllm"},{"id":"2608.00147","title":"RadPRISM: Schema-stratified radiology-report supervision for concept-disentangled image representations and visual grounding","created":"2026-07-31","cited_by_count":1,"area":"mllm"},{"id":"2608.08713","title":"Resolution Meets Reduction: Efficient Visual Context for 3D Radiology Report Generation","created":"2026-08-09","cited_by_count":1,"area":"mllm"}],"next_cursor":"100"}