Latest Research in Multimodal Medical Imaging
43 research papers · 2026 median publication year
Top Research Topics in Multimodal Medical Imaging
- Computer Vision and Pattern Recognition — 24 papers
- Artificial Intelligence — 6 papers
- Multimodal Machine Learning Applications — 6 papers
- Machine Learning — 2 papers
- Methodology — 1 papers
- Optimization and Control — 1 papers
- Image and Video Processing — 1 papers
- Systems and Control — 1 papers
- Dynamical Systems — 1 papers
Highest-Cited Papers
- Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation
- CARE: Confidence-Aware Reasoning for Reliable Medical VQA
- A Spatial Fay-Herriot Model when the Auxiliary Variables are based on Non-traditional Data
- MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation
- TemMed-Bench: Evaluating Temporal Medical Image Reasoning in Vision-Language Models
- Resolution Meets Reduction: Efficient Visual Context for 3D Radiology Report Generation
- JustLLMGRPO: Radiographic Control for Chest X-Ray Generation
- Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering
- THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction
- HERO: Hierarchical Evidential Reasoning Optimization for Radiology Report Generation via Reason-then-Summarize
- MI-CXR: A Benchmark for Longitudinal Reasoning over Multi-Interval Chest X-rays
- Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation
- CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement
- LocAnyMed: Vision-Language Grounding for Multimodal Medical Images
- Generative AI and Foundation Models in Medical Image
- A Spectral Filtering Approach to Regret Analysis of Distributed Online Control for Linear Dynamical Systems
- Slot2Text: Object-Centric Visual Tokenization for Efficient and Spatially Traceable Surgical MLLMs
- Radiological VQA with Multimodal LLMs: Performance and Insights
- Learning to See Locally and Align Clinically with Pathology Semantics for Radiology Report Generation
- ORCA: ORgan-Centroid Aggregation for Training-Free 3D CT Visual Token Compression
Sub-Regions
- Human-Animal Interaction Studies — 41 papers
- Computer Vision and Pattern Recognition — 28 papers
- Multimodal Machine Learning Applications — 16 papers
- Geographies of human-animal interactions — 5 papers