Artificial Intelligence Medical Compendium

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

Showing 44,991 to 45,000 of 224,055 articles

BLOCK: An Open-Source Bi-Stage MLLM Character-to-Skin Pipeline for Minecraft

arXiv Mar 4, 2026
We present \textbf{BLOCK}, an open-source bi-stage character-to-skin pipeline that generates pixel-perfect Minecraft skins from arbitrary character concepts. BLOCK decomposes the problem into (i) a \textbf{3D preview synthesis stage} driven by a larg... read more 
Computer Vision and Pattern Recognition cs.AI

UniRain: Unified Image Deraining with RAG-based Dataset Distillation and Multi-objective Reweighted Optimization

arXiv Mar 4, 2026
Despite significant progress has been made in image deraining, we note that most existing methods are often developed for only specific types of rain degradation and fail to generalize across diverse real-world rainy scenes. How to effectively model ... read more 
Computer Vision and Pattern Recognition

Scaling Dense Event-Stream Pretraining from Visual Foundation Models

arXiv Mar 4, 2026
Learning versatile, fine-grained representations from irregular event streams is pivotal yet nontrivial, primarily due to the heavy annotation that hinders scalability in dataset size, semantic richness, and application scope. To mitigate this dilemm... read more 
Computer Vision and Pattern Recognition

Dual-Solver: A Generalized ODE Solver for Diffusion Models with Dual Prediction

arXiv Mar 4, 2026
Diffusion models achieve state-of-the-art image quality. However, sampling is costly at inference time because it requires a large number of function evaluations (NFEs). To reduce NFEs, classical ODE numerical methods have been adopted. Yet, the choi... read more 
Machine Learning cs.CV

GeoSeg: Training-Free Reasoning-Driven Segmentation in Remote Sensing Imagery

arXiv Mar 4, 2026
Recent advances in MLLMs are reframing segmentation from fixed-category prediction to instruction-grounded localization. While reasoning based segmentation has progressed rapidly in natural scenes, remote sensing lacks a generalizable solution due to... read more 
Computer Vision and Pattern Recognition cs.AI

When Visual Evidence is Ambiguous: Pareidolia as a Diagnostic Probe for Vision Models

arXiv Mar 4, 2026
When visual evidence is ambiguous, vision models must decide whether to interpret face-like patterns as meaningful. Face pareidolia, the perception of faces in non-face objects, provides a controlled probe of this behavior. We introduce a representat... read more 
Computer Vision and Pattern Recognition cs.AI

Weakly Supervised Patch Annotation for Improved Screening of Diabetic Retinopathy

arXiv Mar 4, 2026
Diabetic Retinopathy (DR) requires timely screening to prevent irreversible vision loss. However, its early detection remains a significant challenge since often the subtle pathological manifestations (lesions) get overlooked due to insufficient anno... read more 
Computer Vision and Pattern Recognition

Rethinking the Efficiency and Effectiveness of Reinforcement Learning for Radiology Report Generation

arXiv Mar 4, 2026
Radiologists highly desire fully automated AI for radiology report generation (R2G), yet existing approaches fall short in clinical utility. Reinforcement learning (RL) holds potential to address these shortcomings, but its adoption in this task rema... read more 
Computer Vision and Pattern Recognition

Volumetric Directional Diffusion: Anchoring Uncertainty Quantification in Anatomical Consensus for Ambiguous Medical Image Segmentation

arXiv Mar 4, 2026
Equivocal 3D lesion segmentation exhibits high inter-observer variability. Conventional deterministic models ignore this aleatoric uncertainty, producing over-confident masks that obscure clinical risks. Conversely, while generative methods (e.g., st... read more 
Computer Vision and Pattern Recognition cs.AI

DQE-CIR: Distinctive Query Embeddings through Learnable Attribute Weights and Target Relative Negative Sampling in Composed Image Retrieval

arXiv Mar 4, 2026
Composed image retrieval (CIR) addresses the task of retrieving a target image by jointly interpreting a reference image and a modification text that specifies the intended change. Most existing methods are still built upon contrastive learning frame... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG
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