Artificial Intelligence Medical Compendium

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

Showing 53,181 to 53,190 of 225,548 articles

Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction

arXiv Feb 6, 2026
Fake Image Detection (FID), aiming at unified detection across four image forensic subdomains, is critical in real-world forensic scenarios. Compared with ensemble approaches, monolithic FID models are theoretically more promising, but to date, consi... read more 
Computer Vision and Pattern Recognition

Diffeomorphism-Equivariant Neural Networks

arXiv Feb 6, 2026
Incorporating group symmetries via equivariance into neural networks has emerged as a robust approach for overcoming the efficiency and data demands of modern deep learning. While most existing approaches, such as group convolutions and averaging-bas... read more 
Machine Learning cs.CV

Clinical-Prior Guided Multi-Modal Learning with Latent Attention Pooling for Gait-Based Scoliosis Screening

arXiv Feb 6, 2026
Adolescent Idiopathic Scoliosis (AIS) is a prevalent spinal deformity whose progression can be mitigated through early detection. Conventional screening methods are often subjective, difficult to scale, and reliant on specialized clinical expertise. ... read more 
Computer Vision and Pattern Recognition

Gold Exploration using Representations from a Multispectral Autoencoder

arXiv Feb 6, 2026
Satellite imagery is employed for large-scale prospectivity mapping due to the high cost and typically limited availability of on-site mineral exploration data. In this work, we present a proof-of-concept framework that leverages generative represent... read more 
Computer Vision and Pattern Recognition cs.AI

Orientation-Robust Latent Motion Trajectory Learning for Annotation-free Cardiac Phase Detection in Fetal Echocardiography

arXiv Feb 6, 2026
Fetal echocardiography is essential for detecting congenital heart disease (CHD), facilitating pregnancy management, optimized delivery planning, and timely postnatal interventions. Among standard imaging planes, the four-chamber (4CH) view provides ... read more 
Image and Video Processing cs.CV

Revisiting Emotions Representation for Recognition in the Wild

arXiv Feb 6, 2026
Facial emotion recognition has been typically cast as a single-label classification problem of one out of six prototypical emotions. However, that is an oversimplification that is unsuitable for representing the multifaceted spectrum of spontaneous e... read more 
Computer Vision and Pattern Recognition cs.HC cs.LG

A Unified Formula for Affine Transformations between Calibrated Cameras

arXiv Feb 6, 2026
In this technical note, we derive a closed-form expression for the affine transformation mapping local image patches between two calibrated views. We show that the transformation is a function of the relative camera pose, the image coordinates, and t... read more 
Computer Vision and Pattern Recognition

RAIGen: Rare Attribute Identification in Text-to-Image Generative Models

arXiv Feb 6, 2026
Text-to-image diffusion models achieve impressive generation quality but inherit and amplify training-data biases, skewing coverage of semantic attributes. Prior work addresses this in two ways. Closed-set approaches mitigate biases in predefined fai... read more 
Computer Vision and Pattern Recognition cs.LG

AEGPO: Adaptive Entropy-Guided Policy Optimization for Diffusion Models

arXiv Feb 6, 2026
Reinforcement learning from human feedback (RLHF) shows promise for aligning diffusion and flow models, yet policy optimization methods such as GRPO suffer from inefficient and static sampling strategies. These methods treat all prompts and denoising... read more 
Machine Learning cs.AI cs.CV

GaussianPOP: Principled Simplification Framework for Compact 3D Gaussian Splatting via Error Quantification

arXiv Feb 6, 2026
Existing 3D Gaussian Splatting simplification methods commonly use importance scores, such as blending weights or sensitivity, to identify redundant Gaussians. However, these scores are not driven by visual error metrics, often leading to suboptimal ... read more 
Computer Vision and Pattern Recognition
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