{"total":28,"rows":[{"id":"2308.07898","title":"A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision","created":"2023-08-15","cited_by_count":78,"area":"mllm"},{"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":"2305.14095","title":"S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions","created":"2023-05-23","cited_by_count":30,"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":"2312.06224","title":"Medical Vision Language Pretraining: A survey","created":"2023-12-11","cited_by_count":24,"area":"mllm"},{"id":"2303.17644","title":"Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime","created":"2023-03-30","cited_by_count":15,"area":"mllm"},{"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":"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":"2412.12492","title":"DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation","created":"2024-12-17","cited_by_count":9,"area":"mllm"},{"id":"2401.01179","title":"Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training","created":"2024-01-02","cited_by_count":6,"area":"mllm"},{"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":"2311.14851","title":"Unified Medical Image Pre-training in Language-Guided Common Semantic Space","created":"2023-11-24","cited_by_count":5,"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":"2511.19257","title":"Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation","created":"2025-11-24","cited_by_count":2,"area":"mllm"},{"id":"2607.10953","title":"Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge","created":"2026-07-12","cited_by_count":2,"area":"mllm"},{"id":"2409.02418","title":"MOSMOS: Multi-organ segmentation facilitated by medical report supervision","created":"2024-09-04","cited_by_count":1,"area":"mllm"},{"id":"2410.00448","title":"Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity","created":"2024-10-01","cited_by_count":1,"area":"mllm"},{"id":"2507.21794","title":"Distribution-Based Masked Medical Vision-Language Model Using Structured Reports","created":"2025-07-29","cited_by_count":1,"area":"mllm"},{"id":"2509.07613","title":"Data-Efficient Fine-Tuning of Vision-Language Models for Diagnosis of Alzheimer's Disease","created":"2025-09-09","cited_by_count":1,"area":"mllm"},{"id":"2606.25546","title":"Disease-Centric Vision-Language Pretraining with Hybrid Visual Encoding for 3D Computed Tomography","created":"2026-06-24","cited_by_count":1,"area":"mllm"},{"id":"2607.27154","title":"Anatomy Contextualized Adaptation of CT Foundation Models","created":"2026-07-29","cited_by_count":1,"area":"mllm"},{"id":"2304.05303","title":"ELVIS: Empowering Locality of Vision Language Pre-training with Intra-modal Similarity","created":"2023-04-11","cited_by_count":0,"area":"mllm"},{"id":"2405.08932","title":"Self-supervised vision-langage alignment of deep learning representations for bone X-rays analysis","created":"2024-05-14","cited_by_count":0,"area":"mllm"},{"id":"2506.01902","title":"Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination","created":"2025-06-02","cited_by_count":0,"area":"mllm"},{"id":"2509.16673","title":"MedCutMix: A Data-Centric Approach to Improve Radiology Vision-Language Pre-training with Disease Awareness","created":"2025-09-20","cited_by_count":0,"area":"mllm"},{"id":"2606.04922","title":"Geometry-Aware Distillation for Prompt Tuning Biomedical Vision-Language Models","created":"2026-06-03","cited_by_count":0,"area":"mllm"},{"id":"2607.13892","title":"Fine-Grained Vision-Language Pretraining with Organ-Conditioned Pattern Tokens for CT Understanding","created":"2026-07-15","cited_by_count":0,"area":"mllm"},{"id":"2608.00231","title":"Learning How Much, Not Just What: Cross-Patient Burden Order for CT Vision-Language Pretraining","created":"2026-07-31","cited_by_count":0,"area":"mllm"}],"next_cursor":null}