Artificial Intelligence Medical Compendium

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

Showing 34,761 to 34,770 of 221,633 articles

Control-DINO: Feature Space Conditioning for Controllable Image-to-Video Diffusion

arXiv Apr 2, 2026
Video models have recently been applied with success to problems in content generation, novel view synthesis, and, more broadly, world simulation. Many applications in generation and transfer rely on conditioning these models, typically through perce... read more 
Computer Vision and Pattern Recognition

Cosine-Normalized Attention for Hyperspectral Image Classification

arXiv Apr 2, 2026
Transformer-based methods have improved hyperspectral image classification (HSIC) by modeling long-range spatial-spectral dependencies; however, their attention mechanisms typically rely on dot-product similarity, which mixes feature magnitude and or... read more 
Computer Vision and Pattern Recognition

Hidden Meanings in Plain Sight: RebusBench for Evaluating Cognitive Visual Reasoning

arXiv Apr 2, 2026
Large Vision-Language Models (LVLMs) have achieved remarkable proficiency in explicit visual recognition, effectively describing what is directly visible in an image. However, a critical cognitive gap emerges when the visual input serves only as a cl... read more 
Computer Vision and Pattern Recognition

DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning

arXiv Apr 2, 2026
Recently, world-action models (WAM) have emerged to bridge vision-language-action (VLA) models and world models, unifying their reasoning and instruction-following capabilities and spatio-temporal world modeling. However, existing WAM approaches ofte... read more 
Computer Vision and Pattern Recognition cs.AI cs.RO

A deep learning pipeline for PAM50 subtype classification using histopathology images and multi-objective patch selection

arXiv Apr 2, 2026
Breast cancer is a highly heterogeneous disease with diverse molecular profiles. The PAM50 gene signature is widely recognized as a standard for classifying breast cancer into intrinsic subtypes, enabling more personalized treatment strategies. In th... read more 
Computer Vision and Pattern Recognition cs.AI

SafeRoPE: Risk-specific Head-wise Embedding Rotation for Safe Generation in Rectified Flow Transformers

arXiv Apr 2, 2026
Recent Text-to-Image (T2I) models based on rectified-flow transformers (e.g., SD3, FLUX) achieve high generative fidelity but remain vulnerable to unsafe semantics, especially when triggered by multi-token interactions. Existing mitigation methods la... read more 
Computer Vision and Pattern Recognition

Ranking-Guided Semi-Supervised Domain Adaptation for Severity Classification

arXiv Apr 2, 2026
Semi-supervised domain adaptation leverages a few labeled and many unlabeled target samples, making it promising for addressing domain shifts in medical image analysis. However, existing methods struggle with severity classification due to unclear cl... read more 
Computer Vision and Pattern Recognition

Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images

arXiv Apr 2, 2026
Vector quantization approaches (VQ-VAE, VQ-GAN) learn discrete neural representations of images, but these representations are inherently position-dependent: codes are spatially arranged and contextually entangled, requiring autoregressive or diffusi... read more 
Computer Vision and Pattern Recognition cs.LG

FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting

arXiv Apr 2, 2026
Gaussian Splatting (GS) has emerged as a dominating technique for image rendering and has quickly been adapted for the X-ray Computed Tomography (CT) reconstruction task. However, despite being on par or better than many of its predecessors, the bene... read more 
Computer Vision and Pattern Recognition

Beyond Detection: Ethical Foundations for Automated Dyslexic Error Attribution

arXiv Apr 2, 2026
Dyslexic spelling errors exhibit systematic phonological and orthographic patterns that distinguish them from the errors produced by typically developing writers. While this observation has motivated dyslexic-specific spell-checking and assistive wri... read more 
Computation and Language cs.AI
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