Artificial Intelligence Medical Compendium

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

Showing 35,221 to 35,230 of 222,841 articles

CRFT: Consistent-Recurrent Feature Flow Transformer for Cross-Modal Image Registration

arXiv Apr 7, 2026
We present Consistent-Recurrent Feature Flow Transformer (CRFT), a unified coarse-to-fine framework based on feature flow learning for robust cross-modal image registration. CRFT learns a modality-independent feature flow representation within a tran... read more 
Computer Vision and Pattern Recognition cs.AI

Untargeted analysis of volatile markers of post-exercise fat oxidation in exhaled breath

arXiv Apr 7, 2026
Breath acetone represents a promising non-invasive biomarker for monitoring fat oxidation during exercise. However, its utility is limited by confounding factors, as well as by the fact that significant changes in concentration occur only hours post-... read more 
Medical Physics cs.LG

MPM: Mutual Pair Merging for Efficient Vision Transformers

arXiv Apr 7, 2026
Decreasing sequence length is a common way to accelerate transformers, but prior token reduction work often targets classification and reports proxy metrics rather than end-to-end latency. For semantic segmentation, token reduction is further constra... read more 
Computer Vision and Pattern Recognition

Beyond Semantics: Disentangling Information Scope in Sparse Autoencoders for CLIP

arXiv Apr 7, 2026
Sparse Autoencoders (SAEs) have emerged as a powerful tool for interpreting the internal representations of CLIP vision encoders, yet existing analyses largely focus on the semantic meaning of individual features. We introduce information scope as a ... read more 
Computer Vision and Pattern Recognition

Single-Stage Signal Attenuation Diffusion Model for Low-Light Image Enhancement and Denoising

arXiv Apr 7, 2026
Diffusion models excel at image restoration via probabilistic modeling of forward noise addition and reverse denoising, and their ability to handle complex noise while preserving fine details makes them well-suited for Low-Light Image Enhancement (LL... read more 
Computer Vision and Pattern Recognition

Controllable Image Generation with Composed Parallel Token Prediction

arXiv Apr 7, 2026
Conditional discrete generative models struggle to faithfully compose multiple input conditions. To address this, we derive a theoretically-grounded formulation for composing discrete probabilistic generative processes, with masked generation (absorb... read more 
Machine Learning

ASSR-Net: Anisotropic Structure-Aware and Spectrally Recalibrated Network for Hyperspectral Image Fusion

arXiv Apr 7, 2026
Hyperspectral image fusion aims to reconstruct high-spatial-resolution hyperspectral images (HR-HSI) by integrating complementary information from multi-source inputs. Despite recent progress, existing methods still face two critical challenges: (1) ... read more 
Computer Vision and Pattern Recognition

On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors

arXiv Apr 7, 2026
Modern image compression methods are typically optimized for the rate--distortion--perception trade-off, whereas their robustness to bit-level corruption is rarely examined. We show that diffusion-based compressors built on the Reverse Channel Coding... read more 
Computer Vision and Pattern Recognition cs.AI

SVC 2026: the Second Multimodal Deception Detection Challenge and the First Domain Generalized Remote Physiological Measurement Challenge

arXiv Apr 7, 2026
Subtle visual signals, although difficult to perceive with the naked eye, contain important information that can reveal hidden patterns in visual data. These signals play a key role in many applications, including biometric security, multimedia foren... read more 
Computer Vision and Pattern Recognition

Improving Controllable Generation: Faster Training and Better Performance via $x_0$-Supervision

arXiv Apr 7, 2026
Text-to-Image (T2I) diffusion/flow models have recently achieved remarkable progress in visual fidelity and text alignment. However, they remain limited when users need to precisely control image layouts, something that natural language alone cannot ... read more 
Computer Vision and Pattern Recognition
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