{"total":164,"rows":[{"id":"2306.11029","title":"RemoteCLIP: A Vision Language Foundation Model for Remote Sensing","created":"2023-06-19","cited_by_count":363,"area":"mllm"},{"id":"2403.02469","title":"Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review","created":"2024-03-04","cited_by_count":125,"area":"mllm"},{"id":"2502.09838","title":"HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation","created":"2025-02-14","cited_by_count":114,"area":"mllm"},{"id":"2403.14119","title":"C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion","created":"2024-03-21","cited_by_count":83,"area":"mllm"},{"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":"2306.07971","title":"XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models","created":"2023-06-13","cited_by_count":61,"area":"mllm"},{"id":"2501.14548","title":"Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding","created":"2025-01-24","cited_by_count":54,"area":"mllm"},{"id":"2305.10799","title":"MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts","created":"2023-05-18","cited_by_count":51,"area":"mllm"},{"id":"2503.20047","title":"Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image Analysis","created":"2025-03-25","cited_by_count":46,"area":"mllm"},{"id":"2501.01377","title":"Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback","created":"2025-01-02","cited_by_count":42,"area":"mllm"},{"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":"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":"2312.14494","title":"Revisiting Few-Shot Object Detection with Vision-Language Models","created":"2023-12-22","cited_by_count":32,"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":"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":"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":"2407.00203","title":"PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration","created":"2024-06-28","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":"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":"2411.13136","title":"TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models","created":"2024-11-20","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":"2510.15042","title":"Comprehensive language-image pre-training for 3D medical image understanding","created":"2025-10-16","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":"2504.12717","title":"Post-pre-training for Modality Alignment in Vision-Language Foundation Models","created":"2025-04-17","cited_by_count":18,"area":"mllm"},{"id":"2308.01313","title":"PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts","created":"2023-08-02","cited_by_count":17,"area":"mllm"},{"id":"2408.16769","title":"PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning","created":"2024-08-29","cited_by_count":17,"area":"mllm"},{"id":"2403.06728","title":"Multimodal Large Language Model driven Radiology Report Generation with Clinical Knowledge Enhancement","created":"2024-03-11","cited_by_count":16,"area":"mllm"},{"id":"2411.12783","title":"Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language Model","created":"2024-11-19","cited_by_count":15,"area":"mllm"},{"id":"2503.12096","title":"O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models","created":"2025-03-15","cited_by_count":15,"area":"mllm"},{"id":"2406.18146","title":"A Refer-and-Ground Multimodal Large Language Model for Biomedicine","created":"2024-06-26","cited_by_count":14,"area":"mllm"},{"id":"2409.16718","title":"Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification","created":"2024-09-25","cited_by_count":14,"area":"mllm"},{"id":"2307.07246","title":"Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training","created":"2023-07-14","cited_by_count":13,"area":"mllm"},{"id":"2405.19654","title":"Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training","created":"2024-05-30","cited_by_count":13,"area":"mllm"},{"id":"2410.01407","title":"AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment","created":"2024-10-02","cited_by_count":13,"area":"mllm"},{"id":"2508.01617","title":"LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understanding","created":"2025-08-03","cited_by_count":13,"area":"mllm"},{"id":"2503.01863","title":"Vision Language Models in Medicine","created":"2025-02-24","cited_by_count":12,"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":"2402.03783","title":"Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning","created":"2024-02-06","cited_by_count":10,"area":"mllm"},{"id":"2404.04960","title":"PairAug: What Can Augmented Image-Text Pairs Do for Radiology?","created":"2024-04-07","cited_by_count":10,"area":"mllm"},{"id":"2506.06076","title":"Full Conformal Adaptation of Medical Vision-Language Models","created":"2025-06-06","cited_by_count":9,"area":"mllm"},{"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":"2403.09948","title":"RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training","created":"2024-03-15","cited_by_count":8,"area":"mllm"},{"id":"2403.12894","title":"MEDBind: Unifying Language and Multimodal Medical Data Embeddings","created":"2024-03-19","cited_by_count":8,"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":"2412.05876","title":"MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training","created":"2024-12-08","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":"2506.17503","title":"Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction","created":"2025-06-20","cited_by_count":8,"area":"mllm"},{"id":"2507.16716","title":"Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation","created":"2025-07-22","cited_by_count":8,"area":"mllm"},{"id":"2405.15728","title":"Disease-informed Adaptation of Vision-Language Models","created":"2024-05-24","cited_by_count":7,"area":"mllm"},{"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":"2410.23370","title":"Multilingual Vision-Language Pre-training for the Remote Sensing Domain","created":"2024-10-30","cited_by_count":7,"area":"mllm"},{"id":"2502.02069","title":"LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models","created":"2025-02-04","cited_by_count":7,"area":"mllm"},{"id":"2506.17500","title":"Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation","created":"2025-06-20","cited_by_count":7,"area":"mllm"},{"id":"2509.24739","title":"Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation","created":"2025-09-29","cited_by_count":7,"area":"mllm"},{"id":"2407.05758","title":"Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports","created":"2024-07-08","cited_by_count":6,"area":"mllm"},{"id":"2407.21368","title":"Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering","created":"2024-07-31","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":"2501.16282","title":"Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models","created":"2025-01-27","cited_by_count":6,"area":"mllm"},{"id":"2502.06094","title":"Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models","created":"2025-02-10","cited_by_count":6,"area":"mllm"},{"id":"2506.08849","title":"Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis","created":"2025-06-10","cited_by_count":6,"area":"mllm"},{"id":"2312.02233","title":"MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation","created":"2023-12-04","cited_by_count":5,"area":"mllm"},{"id":"2503.01020","title":"Delving into Out-of-Distribution Detection with Medical Vision-Language Models","created":"2025-03-02","cited_by_count":5,"area":"mllm"},{"id":"2504.11368","title":"From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image Segmentation","created":"2025-04-15","cited_by_count":5,"area":"mllm"},{"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":"2403.13756","title":"Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model","created":"2024-03-20","cited_by_count":4,"area":"mllm"},{"id":"2412.07119","title":"DiffCLIP: Few-shot Language-driven Multimodal Classifier","created":"2024-12-10","cited_by_count":4,"area":"mllm"},{"id":"2505.10088","title":"MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models","created":"2025-05-15","cited_by_count":4,"area":"mllm"},{"id":"2506.17337","title":"Can Generalist Vision Language Models (VLMs) Rival Specialist Medical VLMs? Benchmarking and Strategic Insights","created":"2025-06-19","cited_by_count":4,"area":"mllm"},{"id":"2509.01554","title":"Unified Supervision For Vision-Language Modeling in 3D Computed Tomography","created":"2025-09-01","cited_by_count":4,"area":"mllm"},{"id":"2511.19641","title":"On the Utility of Foundation Models for Fast MRI: Vision-Language-Guided Image Reconstruction","created":"2025-11-24","cited_by_count":4,"area":"mllm"},{"id":"2601.12493","title":"Histopath-C: Towards Realistic Domain Shifts for Histopathology Vision-Language Adaptation","created":"2026-01-18","cited_by_count":4,"area":"mllm"},{"id":"2506.23903","title":"Grounding DINO-US-SAM: Text-Prompted Multi-Organ Segmentation in Ultrasound with LoRA-Tuned Vision-Language Models","created":"2025-06-30","cited_by_count":3,"area":"mllm"},{"id":"2509.08311","title":"SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training","created":"2025-09-10","cited_by_count":3,"area":"mllm"},{"id":"2509.15226","title":"Calibration-Aware Prompt Learning for Medical Vision-Language Models","created":"2025-09-18","cited_by_count":3,"area":"mllm"},{"id":"2509.22404","title":"RAU: Reference-based Anatomical Understanding with Vision Language Models","created":"2025-09-26","cited_by_count":3,"area":"mllm"},{"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":"2510.26441","title":"A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models","created":"2025-10-30","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":"2603.21010","title":"SkinCLIP-VL: Consistency-Aware Vision-Language Learning for Multimodal Skin Cancer Diagnosis","created":"2026-03-22","cited_by_count":3,"area":"mllm"},{"id":"2403.18996","title":"Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models","created":"2024-03-27","cited_by_count":2,"area":"mllm"},{"id":"2409.17610","title":"ZALM3: Zero-Shot Enhancement of Vision-Language Alignment via In-Context Information in Multi-Turn Multimodal Medical Dialogue","created":"2024-09-26","cited_by_count":2,"area":"mllm"},{"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":"2509.25889","title":"Multimodal LLM With Hierarchical Mixture-of-Experts for VQA on 3D Brain MRI","created":"2025-09-30","cited_by_count":2,"area":"mllm"},{"id":"2510.27265","title":"T3: Test-Time Model Merging in VLMs for Zero-Shot Medical Imaging Analysis","created":"2025-10-31","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":"2512.13855","title":"Improvise, Adapt, Overcome -- Telescopic Adapters for Efficient Fine-tuning of Vision Language Models in Medical Imaging","created":"2025-12-15","cited_by_count":2,"area":"mllm"},{"id":"2512.16523","title":"TTP: Test-Time Padding for Adversarial Detection and Robust Adaptation on Vision-Language Models","created":"2025-12-18","cited_by_count":2,"area":"mllm"},{"id":"2602.17535","title":"LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs","created":"2026-02-19","cited_by_count":2,"area":"mllm"},{"id":"2604.27715","title":"Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining","created":"2026-04-30","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":"2608.27004","title":"MVC-Bench: Benchmarking Calibration of Medical Vision-Language Models","created":"2026-08-27","cited_by_count":2,"area":"mllm"},{"id":"2401.06331","title":"Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity","created":"2024-01-12","cited_by_count":1,"area":"mllm"},{"id":"2405.06468","title":"Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification","created":"2024-05-10","cited_by_count":1,"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":"2412.15925","title":"MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and Detection","created":"2024-12-20","cited_by_count":1,"area":"mllm"},{"id":"2504.01838","title":"Prompting Medical Vision-Language Models to Mitigate Diagnosis Bias by Generating Realistic Dermoscopic Images","created":"2025-04-02","cited_by_count":1,"area":"mllm"},{"id":"2504.15929","title":"Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models","created":"2025-04-22","cited_by_count":1,"area":"mllm"},{"id":"2505.08818","title":"Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare","created":"2025-05-12","cited_by_count":1,"area":"mllm"},{"id":"2505.17042","title":"VLM-KG: Multimodal Radiology Knowledge Graph Generation","created":"2025-05-13","cited_by_count":1,"area":"mllm"}],"next_cursor":"100"}