{"total":24,"rows":[{"id":"2209.15517","title":"Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study","created":"2022-09-30","cited_by_count":66,"area":"mllm"},{"id":"2503.10080","title":"Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection","created":"2025-03-13","cited_by_count":31,"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":"2505.23601","title":"EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis","created":"2025-05-29","cited_by_count":14,"area":"mllm"},{"id":"2405.06196","title":"VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks","created":"2024-05-10","cited_by_count":11,"area":"mllm"},{"id":"2602.00522","title":"MRAD: Zero-Shot Anomaly Detection with Memory-Driven Retrieval","created":"2026-01-31","cited_by_count":6,"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":"2602.20423","title":"MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation","created":"2026-02-23","cited_by_count":4,"area":"mllm"},{"id":"2410.05239","title":"TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models","created":"2024-10-07","cited_by_count":3,"area":"mllm"},{"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":"2505.02971","title":"Adversarial Robustness Analysis of Vision-Language Models in Medical Image Segmentation","created":"2025-05-05","cited_by_count":2,"area":"mllm"},{"id":"2505.16647","title":"Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models","created":"2025-05-22","cited_by_count":2,"area":"mllm"},{"id":"2508.05008","title":"Multimodal Causal-Driven Representation Learning for Generalizable Medical Image Segmentation","created":"2025-08-07","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":"2412.20070","title":"Exploring Compositional Generalization of Multimodal LLMs for Medical Imaging","created":"2024-12-28","cited_by_count":1,"area":"mllm"},{"id":"2508.03447","title":"CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detection","created":"2025-08-05","cited_by_count":1,"area":"mllm"},{"id":"2509.05154","title":"VLSM-Ensemble: Ensembling CLIP-based Vision-Language Models for Enhanced Medical Image Segmentation","created":"2025-09-05","cited_by_count":1,"area":"mllm"},{"id":"2511.20732","title":"Prompt-Aware Adaptive Elastic Weight Consolidation for Continual Learning in Medical Vision-Language Models","created":"2025-11-25","cited_by_count":1,"area":"mllm"},{"id":"2603.06313","title":"WMoE-CLIP: Wavelet-Enhanced Mixture-of-Experts Prompt Learning for Zero-Shot Anomaly Detection","created":"2026-03-06","cited_by_count":1,"area":"mllm"},{"id":"2305.18993","title":"ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models","created":"2023-05-30","cited_by_count":0,"area":"mllm"},{"id":"2508.07819","title":"ACD-CLIP: Decoupling Representation and Dynamic Fusion for Zero-Shot Anomaly Detection","created":"2025-08-11","cited_by_count":0,"area":"mllm"},{"id":"2607.28466","title":"A report-grounded vision-language foundation model for colonoscopy from 280000 routine reports","created":"2026-07-30","cited_by_count":0,"area":"mllm"},{"id":"2608.04472","title":"EndoVLM: An Endoscopy Vision-Language Pre-training Model via Anatomy-Guided Sparsity and Progressive Alignment","created":"2026-08-05","cited_by_count":0,"area":"mllm"},{"id":"2609.02663","title":"Characterizing Text Branch Sensitivity in Medical Vision-Language Segmentation via Evidence Decoupling","created":"2026-09-02","cited_by_count":0,"area":"mllm"}],"next_cursor":null}