Artificial Intelligence Medical Compendium

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

Showing 48,761 to 48,770 of 224,513 articles

Neural Implicit Representations for 3D Synthetic Aperture Radar Imaging

arXiv Feb 19, 2026
Synthetic aperture radar (SAR) is a tomographic sensor that measures 2D slices of the 3D spatial Fourier transform of the scene. In many operational scenarios, the measured set of 2D slices does not fill the 3D space in the Fourier domain, resulting ... read more 
Signal Processing cs.CV

Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer's and Lewy Body Dementia Diagnosis

arXiv Feb 19, 2026
Alzheimer's disease (AD) and Lewy body dementia (LBD) present overlapping clinical features yet require distinct diagnostic strategies. While neuroimaging-based brain network analysis is promising, atlas-based representations may obscure individualiz... read more 
Neurons and Cognition cs.AI cs.CV

RetouchIQ: MLLM Agents for Instruction-Based Image Retouching with Generalist Reward

arXiv Feb 19, 2026
Recent advances in multimodal large language models (MLLMs) have shown great potential for extending vision-language reasoning to professional tool-based image editing, enabling intuitive and creative editing. A promising direction is to use reinforc... read more 
Computer Vision and Pattern Recognition

Canonicalizing Multimodal Contrastive Representation Learning

arXiv Feb 19, 2026
As models and data scale, independently trained networks often induce analogous notions of similarity. But, matching similarities is weaker than establishing an explicit correspondence between the representation spaces, especially for multimodal mode... read more 
Machine Learning

Art2Mus: Artwork-to-Music Generation via Visual Conditioning and Large-Scale Cross-Modal Alignment

arXiv Feb 19, 2026
Music generation has advanced markedly through multimodal deep learning, enabling models to synthesize audio from text and, more recently, from images. However, existing image-conditioned systems suffer from two fundamental limitations: (i) they are ... read more 
Computer Vision and Pattern Recognition cs.MM cs.SD

Guarding the Middle: Protecting Intermediate Representations in Federated Split Learning

arXiv Feb 19, 2026
Big data scenarios, where massive, heterogeneous datasets are distributed across clients, demand scalable, privacy-preserving learning methods. Federated learning (FL) enables decentralized training of machine learning (ML) models across clients with... read more 
Machine Learning cs.DC

Stable Asynchrony: Variance-Controlled Off-Policy RL for LLMs

arXiv Feb 19, 2026
Reinforcement learning (RL) is widely used to improve large language models on reasoning tasks, and asynchronous RL training is attractive because it increases end-to-end throughput. However, for widely adopted critic-free policy-gradient methods suc... read more 
Machine Learning cs.AI

Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail Targeting

arXiv Feb 19, 2026
Black-box adversarial attacks on Large Vision-Language Models (LVLMs) are challenging due to missing gradients and complex multimodal boundaries. While prior state-of-the-art transfer-based approaches like M-Attack perform well using local crop-level... read more 
Machine Learning cs.AI cs.CL cs.CV

Multi-Round Human-AI Collaboration with User-Specified Requirements

arXiv Feb 19, 2026
As humans increasingly rely on multiround conversational AI for high stakes decisions, principled frameworks are needed to ensure such interactions reliably improve decision quality. We adopt a human centric view governed by two principles: counterfa... read more 
Machine Learning

Human-level 3D shape perception emerges from multi-view learning

arXiv Feb 19, 2026
Humans can infer the three-dimensional structure of objects from two-dimensional visual inputs. Modeling this ability has been a longstanding goal for the science and engineering of visual intelligence, yet decades of computational methods have falle... read more 
Computer Vision and Pattern Recognition
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