{"total":80,"rows":[{"id":"2210.06044","title":"Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning","created":"2022-10-12","cited_by_count":159,"area":null},{"id":"2306.05705","title":"On the Challenges and Perspectives of Foundation Models for Medical Image Analysis","created":"2023-06-09","cited_by_count":135,"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":"2307.09742","title":"Improved Distribution Matching for Dataset Condensation","created":"2023-07-19","cited_by_count":124,"area":null},{"id":"2310.13292","title":"CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training","created":"2023-10-20","cited_by_count":82,"area":"mllm"},{"id":"2301.13155","title":"Advancing Radiograph Representation Learning with Masked Record Modeling","created":"2023-01-30","cited_by_count":75,"area":null},{"id":"2209.13232","title":"A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective","created":"2022-09-27","cited_by_count":56,"area":null},{"id":"2307.09018","title":"Multimodal LLMs for health grounded in individual-specific data","created":"2023-07-18","cited_by_count":49,"area":"mllm"},{"id":"2306.00864","title":"A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics","created":"2023-06-01","cited_by_count":43,"area":null},{"id":"2311.09847","title":"Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model","created":"2023-11-16","cited_by_count":40,"area":null},{"id":"2312.07353","title":"CLIP in Medical Imaging: A Survey","created":"2023-12-12","cited_by_count":40,"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":"2312.06224","title":"Medical Vision Language Pretraining: A survey","created":"2023-12-11","cited_by_count":24,"area":"mllm"},{"id":"2307.16226","title":"ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding","created":"2023-07-30","cited_by_count":23,"area":null},{"id":"2208.03207","title":"Neighborhood Collective Estimation for Noisy Label Identification and Correction","created":"2022-08-05","cited_by_count":22,"area":null},{"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":"2405.01469","title":"Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning","created":"2024-05-02","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":"2207.14476","title":"Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels","created":"2022-07-29","cited_by_count":16,"area":null},{"id":"2303.12484","title":"Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions","created":"2023-03-22","cited_by_count":16,"area":null},{"id":"2204.12406","title":"A survey on attention mechanisms for medical applications: are we moving towards better algorithms?","created":"2022-04-26","cited_by_count":15,"area":null},{"id":"2307.07362","title":"A scoping review on multimodal deep learning in biomedical images and texts","created":"2023-07-14","cited_by_count":13,"area":null},{"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":"2205.04282","title":"Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs","created":"2022-05-09","cited_by_count":12,"area":null},{"id":"2307.12775","title":"Is attention all you need in medical image analysis? A review","created":"2023-07-24","cited_by_count":12,"area":null},{"id":"2304.06662","title":"Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions","created":"2023-04-13","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":"2404.04960","title":"PairAug: What Can Augmented Image-Text Pairs Do for Radiology?","created":"2024-04-07","cited_by_count":10,"area":"mllm"},{"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":"2309.02702","title":"Gene-induced Multimodal Pre-training for Image-omic Classification","created":"2023-09-06","cited_by_count":9,"area":null},{"id":"2401.11448","title":"Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation","created":"2024-01-21","cited_by_count":9,"area":null},{"id":"2211.15320","title":"RankDNN: Learning to Rank for Few-shot Learning","created":"2022-11-28","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":"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":"2210.15566","title":"UNet-2022: Exploring Dynamics in Non-isomorphic Architecture","created":"2022-10-27","cited_by_count":6,"area":null},{"id":"2312.15840","title":"Masked Contrastive Reconstruction for Cross-modal Medical Image-Report Retrieval","created":"2023-12-26","cited_by_count":6,"area":null},{"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":"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":"2309.15857","title":"A Survey on Image-text Multimodal Models","created":"2023-09-23","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":"2407.19546","title":"MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training","created":"2024-07-28","cited_by_count":4,"area":null},{"id":"2408.12606","title":"A Large Model for Non-invasive and Personalized Management of Breast Cancer from Multiparametric MRI","created":"2024-08-08","cited_by_count":4,"area":null},{"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":"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":"2301.13154","title":"Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling","created":"2023-01-30","cited_by_count":3,"area":null},{"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":"2509.25594","title":"K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model","created":"2025-09-29","cited_by_count":3,"area":"moe"},{"id":"2509.25963","title":"Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation","created":"2025-09-30","cited_by_count":3,"area":null},{"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":"2407.19512","title":"Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis","created":"2024-07-28","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":"2507.21703","title":"Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification","created":"2025-07-25","cited_by_count":2,"area":null},{"id":"2403.10635","title":"MeDSLIP: Medical Dual-Stream Language-Image Pre-training with Pathology-Anatomy Semantic Alignment","created":"2024-03-15","cited_by_count":1,"area":null},{"id":"2405.09594","title":"Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining","created":"2024-05-15","cited_by_count":1,"area":null},{"id":"2409.02418","title":"MOSMOS: Multi-organ segmentation facilitated by medical report supervision","created":"2024-09-04","cited_by_count":1,"area":"mllm"},{"id":"2507.22024","title":"Cardiac-CLIP: A Vision-Language Foundation Model for 3D Cardiac CT Images","created":"2025-07-29","cited_by_count":1,"area":null},{"id":"2509.12146","title":"Multi Anatomy X-Ray Foundation Model","created":"2025-09-15","cited_by_count":1,"area":null},{"id":"2509.19980","title":"RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis","created":"2025-09-24","cited_by_count":1,"area":"rag"},{"id":"2603.26049","title":"Seeing Like Radiologists: Context- and Gaze-Guided Vision-Language Pretraining for Chest X-rays","created":"2026-03-27","cited_by_count":1,"area":"lr"},{"id":"2606.00602","title":"ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training","created":"2026-05-30","cited_by_count":1,"area":"mllm"},{"id":"2303.08562","title":"MGA: Medical generalist agent through text-guided knowledge transformation","created":"2023-03-15","cited_by_count":0,"area":null},{"id":"2307.05920","title":"Unified Medical Image-Text-Label Contrastive Learning With Continuous Prompt","created":"2023-07-12","cited_by_count":0,"area":null},{"id":"2403.20058","title":"Revolutionizing Disease Diagnosis with simultaneous functional PET/MR and Deeply Integrated Brain Metabolic, Hemodynamic, and Perfusion Networks","created":"2024-03-29","cited_by_count":0,"area":"moe"},{"id":"2409.15744","title":"ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features","created":"2024-09-24","cited_by_count":0,"area":null},{"id":"2409.15745","title":"ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography Classification","created":"2024-09-24","cited_by_count":0,"area":null},{"id":"2409.19420","title":"Multi-sensor Learning Enables Information Transfer across Different Sensory Data and Augments Multi-modality Imaging","created":"2024-09-28","cited_by_count":0,"area":null},{"id":"2502.18047","title":"Progressive Local Alignment for Medical Multimodal Pre-training","created":"2025-02-25","cited_by_count":0,"area":null},{"id":"2505.09329","title":"BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis","created":"2025-05-14","cited_by_count":0,"area":null},{"id":"2506.08023","title":"Aligning Proteins and Language: A Foundation Model for Protein Retrieval","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2507.06264","title":"X-ray transferable polyrepresentation learning","created":"2025-07-07","cited_by_count":0,"area":null},{"id":"2508.03494","title":"Prototype-Enhanced Confidence Modeling for Cross-Modal Medical Image-Report Retrieval","created":"2025-08-05","cited_by_count":0,"area":null},{"id":"2509.15416","title":"NeuroRAD-FM: A Foundation Model for Neuro-Oncology with Distributionally Robust Training","created":"2025-09-18","cited_by_count":0,"area":null},{"id":"2601.08165","title":"Representation Learning with Semantic-aware Instance and Sparse Token Alignments","created":"2026-01-13","cited_by_count":0,"area":"mllm"},{"id":"2603.18545","title":"CoDA: Exploring Chain-of-Distribution Attacks and Post-Hoc Token-Space Repair for Medical Vision-Language Models","created":"2026-03-19","cited_by_count":0,"area":"mllm"},{"id":"2604.17629","title":"BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs","created":"2026-04-19","cited_by_count":0,"area":"mllm"},{"id":"2608.00239","title":"Semantically Calibrated Evidence Composition for CT Vision-Language Learning","created":"2026-07-31","cited_by_count":0,"area":null},{"id":"2609.39266","title":"PLRS-IC: A Dual-Calibration Framework for Chest X-Ray Vision-Language Alignment","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}