{"total":149,"rows":[{"id":"2308.02463","title":"Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data","created":"2023-08-04","cited_by_count":179,"area":null},{"id":"2401.10815","title":"Exploring scalable medical image encoders beyond text supervision","created":"2024-01-19","cited_by_count":132,"area":null},{"id":"2302.14042","title":"Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images","created":"2023-02-27","cited_by_count":128,"area":null},{"id":"2404.03264","title":"Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions","created":"2024-04-04","cited_by_count":77,"area":null},{"id":"2404.08181","title":"Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation","created":"2024-04-12","cited_by_count":77,"area":null},{"id":"2301.13155","title":"Advancing Radiograph Representation Learning with Masked Record Modeling","created":"2023-01-30","cited_by_count":75,"area":null},{"id":"2403.19949","title":"FairCLIP: Harnessing Fairness in Vision-Language Learning","created":"2024-03-29","cited_by_count":69,"area":null},{"id":"2312.17183","title":"Large-Vocabulary Segmentation for Medical Images with Text Prompts","created":"2023-12-28","cited_by_count":62,"area":null},{"id":"2305.19894","title":"Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias","created":"2023-05-31","cited_by_count":57,"area":"mllm"},{"id":"2502.20056","title":"Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation","created":"2025-02-27","cited_by_count":42,"area":null},{"id":"2402.17417","title":"CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification","created":"2024-02-27","cited_by_count":40,"area":null},{"id":"2405.12255","title":"Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography","created":"2024-05-20","cited_by_count":38,"area":"mllm"},{"id":"2302.08958","title":"Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts","created":"2023-02-17","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":"2309.05904","title":"Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning","created":"2023-09-12","cited_by_count":34,"area":"mllm"},{"id":"2404.15272","title":"CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios","created":"2024-04-23","cited_by_count":30,"area":null},{"id":"2405.14137","title":"RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports","created":"2024-05-23","cited_by_count":30,"area":"mllm"},{"id":"2411.15851","title":"ResCLIP: Residual Attention for Training-free Dense Vision-language Inference","created":"2024-11-24","cited_by_count":29,"area":"mllm"},{"id":"2308.07706","title":"Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models","created":"2023-08-15","cited_by_count":28,"area":"mllm"},{"id":"2403.07636","title":"Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework","created":"2024-03-12","cited_by_count":27,"area":"mllm"},{"id":"2405.05237","title":"EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning","created":"2024-05-08","cited_by_count":25,"area":null},{"id":"2312.06224","title":"Medical Vision Language Pretraining: A survey","created":"2023-12-11","cited_by_count":24,"area":"mllm"},{"id":"2409.03868","title":"Few-shot Adaptation of Medical Vision-Language Models","created":"2024-09-05","cited_by_count":24,"area":"mllm"},{"id":"2310.07355","title":"IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training","created":"2023-10-11","cited_by_count":23,"area":"mllm"},{"id":"2305.07920","title":"Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training","created":"2023-05-13","cited_by_count":22,"area":"mllm"},{"id":"2312.11038","title":"UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification","created":"2023-12-18","cited_by_count":21,"area":"mllm"},{"id":"2412.06141","title":"MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization","created":"2024-12-09","cited_by_count":21,"area":"mllm"},{"id":"2408.12880","title":"Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey","created":"2024-08-23","cited_by_count":20,"area":null},{"id":"2506.04353","title":"ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding","created":"2025-06-04","cited_by_count":20,"area":null},{"id":"2311.15607","title":"Spatially Covariant Image Registration with Text Prompts","created":"2023-11-27","cited_by_count":18,"area":null},{"id":"2403.09294","title":"Anatomical Structure-Guided Medical Vision-Language Pre-training","created":"2024-03-14","cited_by_count":18,"area":"mllm"},{"id":"2410.02331","title":"Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks","created":"2024-10-03","cited_by_count":18,"area":null},{"id":"2412.02621","title":"Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions","created":"2024-12-03","cited_by_count":18,"area":null},{"id":"2312.16151","title":"Large-scale Long-tailed Disease Diagnosis on Radiology Images","created":"2023-12-26","cited_by_count":17,"area":null},{"id":"2403.10153","title":"Improving Medical Multi-modal Contrastive Learning with Expert Annotations","created":"2024-03-15","cited_by_count":16,"area":null},{"id":"2403.12416","title":"Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning","created":"2024-03-19","cited_by_count":16,"area":null},{"id":"2312.01529","title":"T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency","created":"2023-12-03","cited_by_count":14,"area":"mllm"},{"id":"2404.09942","title":"Knowledge-enhanced Visual-Language Pretraining for Computational Pathology","created":"2024-04-15","cited_by_count":14,"area":null},{"id":"2505.00744","title":"Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMs","created":"2025-04-30","cited_by_count":14,"area":"mllm"},{"id":"2505.21862","title":"Towards Scalable Language-Image Pre-training for 3D Medical Imaging","created":"2025-05-28","cited_by_count":14,"area":null},{"id":"2508.03742","title":"Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training","created":"2025-08-01","cited_by_count":14,"area":"mllm"},{"id":"2309.06828","title":"UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training","created":"2023-09-13","cited_by_count":13,"area":null},{"id":"2404.06798","title":"Uncertainty-aware Medical Diagnostic Phrase Identification and Grounding","created":"2024-04-10","cited_by_count":13,"area":"mllm"},{"id":"2312.01522","title":"G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training","created":"2023-12-03","cited_by_count":12,"area":"mllm"},{"id":"2308.05046","title":"RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction","created":"2023-08-09","cited_by_count":11,"area":null},{"id":"2503.01019","title":"MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations","created":"2025-03-02","cited_by_count":11,"area":"mllm"},{"id":"2404.03618","title":"DeViDe: Faceted medical knowledge for improved medical vision-language pre-training","created":"2024-04-04","cited_by_count":10,"area":"mllm"},{"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":"2603.07113","title":"Efficient Chest X-ray Representation Learning via Semantic-Partitioned Contrastive Learning","created":"2026-03-07","cited_by_count":10,"area":null},{"id":"2409.18119","title":"Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography","created":"2024-09-26","cited_by_count":9,"area":null},{"id":"2410.23822","title":"Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding","created":"2024-10-31","cited_by_count":9,"area":"mllm"},{"id":"2501.03565","title":"Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis","created":"2025-01-07","cited_by_count":9,"area":null},{"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":"2409.01883","title":"Boosting Vision-Language Models for Histopathology Classification: Predict all at once","created":"2024-09-03","cited_by_count":8,"area":"mllm"},{"id":"2501.10775","title":"MedFILIP: Medical Fine-grained Language-Image Pre-training","created":"2025-01-18","cited_by_count":8,"area":"mllm"},{"id":"2506.09095","title":"Foundation Models in Medical Imaging: A Review and Outlook","created":"2025-06-10","cited_by_count":8,"area":null},{"id":"2311.01004","title":"Sam-Guided Enhanced Fine-Grained Encoding with Mixed Semantic Learning for Medical Image Captioning","created":"2023-11-02","cited_by_count":7,"area":null},{"id":"2401.01591","title":"MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning","created":"2024-01-03","cited_by_count":7,"area":null},{"id":"2401.02044","title":"A multi-modal vision-language model for generalizable annotation-free pathology localization","created":"2024-01-04","cited_by_count":7,"area":"mllm"},{"id":"2404.17926","title":"Pre-training on High Definition X-ray Images: An Experimental Study","created":"2024-04-27","cited_by_count":7,"area":null},{"id":"2408.10894","title":"ViLReF: An Expert Knowledge Enabled Vision-Language Retinal Foundation Model","created":"2024-08-20","cited_by_count":7,"area":"mllm"},{"id":"2410.05905","title":"MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model","created":"2024-10-08","cited_by_count":7,"area":null},{"id":"2410.15744","title":"Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment","created":"2024-10-21","cited_by_count":7,"area":"mllm"},{"id":"2503.06030","title":"Towards Universal Text-driven CT Image Segmentation","created":"2025-03-08","cited_by_count":7,"area":null},{"id":"2508.10528","title":"Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset","created":"2025-08-14","cited_by_count":7,"area":null},{"id":"2409.06351","title":"MAGDA: Multi-agent guideline-driven diagnostic assistance","created":"2024-09-10","cited_by_count":6,"area":"agents"},{"id":"2410.21969","title":"BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays","created":"2024-10-29","cited_by_count":6,"area":"mllm"},{"id":"2412.13533","title":"Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments","created":"2024-12-18","cited_by_count":6,"area":null},{"id":"2503.07487","title":"LLaVA-RadZ: Can Multimodal Large Language Models Effectively Tackle Zero-shot Radiology Recognition?","created":"2025-03-10","cited_by_count":6,"area":"mllm"},{"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":"2401.11421","title":"Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement","created":"2024-01-21","cited_by_count":5,"area":"mllm"},{"id":"2506.08990","title":"Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models","created":"2025-06-10","cited_by_count":5,"area":null},{"id":"2512.00198","title":"Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting","created":"2025-11-28","cited_by_count":5,"area":null},{"id":"2309.15857","title":"A Survey on Image-text Multimodal Models","created":"2023-09-23","cited_by_count":4,"area":null},{"id":"2401.01524","title":"Multimodal self-supervised learning for lesion localization","created":"2024-01-03","cited_by_count":4,"area":null},{"id":"2401.10501","title":"Enhancing medical vision-language contrastive learning via inter-matching relation modelling","created":"2024-01-19","cited_by_count":4,"area":null},{"id":"2411.04607","title":"Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation","created":"2024-11-07","cited_by_count":4,"area":null},{"id":"2504.07416","title":"RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability","created":"2025-04-10","cited_by_count":4,"area":null},{"id":"2506.20254","title":"Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement","created":"2025-06-25","cited_by_count":4,"area":null},{"id":"2509.03800","title":"MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting","created":"2025-09-04","cited_by_count":4,"area":"mllm"},{"id":"2312.11171","title":"UniDCP: Unifying Multiple Medical Vision-language Tasks via Dynamic Cross-modal Learnable Prompts","created":"2023-12-18","cited_by_count":3,"area":"mllm"},{"id":"2401.01583","title":"Enhancing Representation in Medical Vision-Language Foundation Models via Multi-Scale Information Extraction Techniques","created":"2024-01-03","cited_by_count":3,"area":"mllm"},{"id":"2407.16264","title":"Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring","created":"2024-07-23","cited_by_count":3,"area":null},{"id":"2412.04106","title":"MRGen: Segmentation Data Engine for Underrepresented MRI Modalities","created":"2024-12-04","cited_by_count":3,"area":null},{"id":"2502.16223","title":"Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection","created":"2025-02-22","cited_by_count":3,"area":"mllm"},{"id":"2505.15123","title":"Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2510.19599","title":"XBench: A Comprehensive Benchmark for Visual-Language Explanations in Chest Radiography","created":"2025-10-22","cited_by_count":3,"area":"mllm"},{"id":"2511.08402","title":"Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation","created":"2025-11-11","cited_by_count":3,"area":"mllm"},{"id":"2512.03542","title":"V-ITI: Mitigating Hallucinations in Multimodal Large Language Models via Visual Inference-Time Intervention","created":"2025-12-03","cited_by_count":3,"area":"mllm"},{"id":"2312.03970","title":"Improving Medical Report Generation with Adapter Tuning and Knowledge Enhancement in Vision-Language Foundation Models","created":"2023-12-07","cited_by_count":2,"area":"mllm"},{"id":"2404.14750","title":"Grounded Knowledge-Enhanced Medical Vision-Language Pre-training for Chest X-Ray","created":"2024-04-23","cited_by_count":2,"area":"mllm"},{"id":"2405.14230","title":"Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports","created":"2024-05-23","cited_by_count":2,"area":null},{"id":"2409.00543","title":"How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?","created":"2024-08-31","cited_by_count":2,"area":"mllm"},{"id":"2503.19801","title":"SeLIP: Similarity Enhanced Contrastive Language Image Pretraining for Multi-modal Head MRI","created":"2025-03-25","cited_by_count":2,"area":null},{"id":"2504.05227","title":"A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?","created":"2025-04-07","cited_by_count":2,"area":"mllm"},{"id":"2508.09182","title":"MedPatch: Confidence-Guided Multi-Stage Fusion for Multimodal Clinical Data","created":"2025-08-07","cited_by_count":2,"area":null},{"id":"2509.25711","title":"ProbMed: A Probabilistic Framework for Medical Multimodal Binding","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2603.19516","title":"Gastric-X: A Multimodal Multi-Phase Benchmark Dataset for Advancing Vision-Language Models in Gastric Cancer Analysis","created":"2026-03-19","cited_by_count":2,"area":"lr"},{"id":"2603.23104","title":"NeuroSeg Meets DINOv3: Transferring 2D Self-Supervised Visual Priors to 3D Neuron Segmentation via DINOv3 Initialization","created":"2026-03-24","cited_by_count":2,"area":null},{"id":"2604.15705","title":"Towards Robust Endogenous Reasoning: Unifying Drift Adaptation in Non-Stationary Tuning","created":"2026-04-17","cited_by_count":2,"area":"lr"}],"next_cursor":"100"}