Artificial Intelligence Medical Compendium

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

Showing 49,611 to 49,620 of 224,513 articles

Event-based Visual Deformation Measurement

arXiv Feb 16, 2026
Visual Deformation Measurement (VDM) aims to recover dense deformation fields by tracking surface motion from camera observations. Traditional image-based methods rely on minimal inter-frame motion to constrain the correspondence search space, which ... read more 
Computer Vision and Pattern Recognition

D-SECURE: Dual-Source Evidence Combination for Unified Reasoning in Misinformation Detection

arXiv Feb 16, 2026
Multimodal misinformation increasingly mixes realistic im-age edits with fluent but misleading text, producing persuasive posts that are difficult to verify. Existing systems usually rely on a single evidence source. Content-based detectors identify ... read more 
Computer Vision and Pattern Recognition

Controlling Your Image via Simplified Vector Graphics

arXiv Feb 16, 2026
Recent advances in image generation have achieved remarkable visual quality, while a fundamental challenge remains: Can image generation be controlled at the element level, enabling intuitive modifications such as adjusting shapes, altering colors, o... read more 
Computer Vision and Pattern Recognition

Silent Inconsistency in Data-Parallel Full Fine-Tuning: Diagnosing Worker-Level Optimization Misalignment

arXiv Feb 16, 2026
Data-parallel (DP) training with synchronous all-reduce is a dominant paradigm for full-parameter fine-tuning of large language models (LLMs). While parameter synchronization guarantees numerical equivalence of model weights after each iteration, it ... read more 
Machine Learning cs.AI

CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer

arXiv Feb 16, 2026
Transferring visual style between images while preserving semantic correspondence between similar objects remains a central challenge in computer vision. While existing methods have made great strides, most of them operate at global level but overloo... read more 
Computer Vision and Pattern Recognition cs.AI

On the Rate-Distortion-Complexity Tradeoff for Semantic Communication

arXiv Feb 16, 2026
Semantic communication is a novel communication paradigm that focuses on conveying the user's intended meaning rather than the bit-wise transmission of source signals. One of the key challenges is to effectively represent and extract the semantic mea... read more 
Information Theory cs.AI

TikArt: Aperture-Guided Observation for Fine-Grained Visual Reasoning via Reinforcement Learning

arXiv Feb 16, 2026
We address fine-grained visual reasoning in multimodal large language models (MLLMs), where key evidence may reside in tiny objects, cluttered regions, or subtle markings that are lost under a single global image encoding. We introduce TikArt (Thinki... read more 
Computer Vision and Pattern Recognition cs.AI

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging

arXiv Feb 16, 2026
We introduce a novel uncertainty-aware multimodal segmentation framework that leverages both radiological images and associated clinical text for precise medical diagnosis. We propose a Modality Decoding Attention Block (MoDAB) with a lightweight Sta... read more 
Computer Vision and Pattern Recognition cs.LG

Prototype Instance-semantic Disentanglement with Low-rank Regularized Subspace Clustering for WSIs Explainable Recognition

arXiv Feb 16, 2026
The tumor region plays a key role in pathological diagnosis. Tumor tissues are highly similar to precancerous lesions and non tumor instances often greatly exceed tumor instances in whole slide images (WSIs). These issues cause instance-semantic enta... read more 
Computer Vision and Pattern Recognition

Formally Verifying and Explaining Sepsis Treatment Policies with COOL-MC

arXiv Feb 16, 2026
Safe and interpretable sequential decision-making is critical in healthcare, yet reinforcement learning (RL) policies for sepsis treatment optimization remain opaque and difficult to verify. Standard probabilistic model checkers operate on the full s... read more 
Artificial Intelligence cs.LG
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