Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 39,501 to 39,510 of 223,737 articles

Beyond Strict Pairing: Arbitrarily Paired Training for High-Performance Infrared and Visible Image Fusion

arXiv Mar 23, 2026
Infrared and visible image fusion(IVIF) combines complementary modalities while preserving natural textures and salient thermal signatures. Existing solutions predominantly rely on extensive sets of rigidly aligned image pairs for training. However, ... read more 
Computer Vision and Pattern Recognition

SteelDefectX: A Coarse-to-Fine Vision-Language Dataset and Benchmark for Generalizable Steel Surface Defect Detection

arXiv Mar 23, 2026
Steel surface defect detection is essential for ensuring product quality and reliability in modern manufacturing. Current methods often rely on basic image classification models trained on label-only datasets, which limits their interpretability and ... read more 
Computer Vision and Pattern Recognition cs.AI

Multi-View Deformable Convolution Meets Visual Mamba for Coronary Artery Segmentation

arXiv Mar 23, 2026
Accurate segmentation of coronary arteries from computed tomography angiography (CTA) images is of paramount clinical importance for the diagnosis and treatment planning of cardiovascular diseases. However, coronary artery segmentation remains challe... read more 
Computer Vision and Pattern Recognition

Deriving Health Metrics from the Photoplethysmogram: Benchmarks and Insights from MIMIC-III-Ext-PPG

arXiv Mar 23, 2026
Photoplethysmography (PPG) is one of the most widely captured biosignals for clinical prediction tasks, yet PPG-based algorithms are typically trained on small-scale datasets of uncertain quality, which hinders meaningful algorithm comparisons. We pr... read more 
Machine Learning eess.SP

Adaptive Video Distillation: Mitigating Oversaturation and Temporal Collapse in Few-Step Generation

arXiv Mar 23, 2026
Video generation has recently emerged as a central task in the field of generative AI. However, the substantial computational cost inherent in video synthesis makes model distillation a critical technique for efficient deployment. Despite its signifi... read more 
Computer Vision and Pattern Recognition cs.AI

Manifold-Aware Exploration for Reinforcement Learning in Video Generation

arXiv Mar 23, 2026
Group Relative Policy Optimization (GRPO) methods for video generation like FlowGRPO remain far less reliable than their counterparts for language models and images. This gap arises because video generation has a complex solution space, and the ODE-t... read more 
Computer Vision and Pattern Recognition cs.AI

Thermal Topology Collapse: Universal Physical Patch Attacks on Infrared Vision Systems

arXiv Mar 23, 2026
Although infrared pedestrian detectors have been widely deployed in visual perception tasks, their vulnerability to physical adversarial attacks is becoming increasingly apparent. Existing physical attack methods predominantly rely on instance-specif... read more 
Computer Vision and Pattern Recognition

Not All Layers Are Created Equal: Adaptive LoRA Ranks for Personalized Image Generation

arXiv Mar 23, 2026
Low Rank Adaptation (LoRA) is the de facto fine-tuning strategy to generate personalized images from pre-trained diffusion models. Choosing a good rank is extremely critical, since it trades off performance and memory consumption, but today the decis... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

ADaFuSE: Adaptive Diffusion-generated Image and Text Fusion for Interactive Text-to-Image Retrieval

arXiv Mar 23, 2026
Recent advances in interactive text-to-image retrieval (I-TIR) use diffusion models to bridge the modality gap between the textual information need and the images to be searched, resulting in increased effectiveness. However, existing frameworks fuse... read more 
Information Retrieval cs.CV

HMS-VesselNet: Hierarchical Multi-Scale Attention Network with Topology-Preserving Loss for Retinal Vessel Segmentation

arXiv Mar 23, 2026
Retinal vessel segmentation methods based on standard overlap losses tend to miss thin peripheral vessels because these structures occupy very few pixels and have low contrast against the background. We propose HMS-VesselNet, a hierarchical multi-sca... read more 
Image and Video Processing cs.CV
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