Artificial Intelligence Medical Compendium

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

Showing 37,681 to 37,690 of 223,469 articles

Invasive and Non-Invasive Neural Decoding of Motor Performance in Parkinson's Disease for Personalized Deep Brain Stimulation

arXiv Mar 29, 2026
Decoding motor performance from brain signals offers promising avenues for adaptive deep brain stimulation (aDBS) for Parkinson's disease (PD). In a two-center cohort of 19 PD patients executing a drawing task, we decoded motor performance from elect... read more 
Human-Computer Interaction

RHO: Robust Holistic OSM-Based Metric Cross-View Geo-Localization

arXiv Mar 29, 2026
Metric Cross-View Geo-Localization (MCVGL) aims to estimate the 3-DoF camera pose (position and heading) by matching ground and satellite images. In this work, instead of pinhole and satellite images, we study robust MCVGL using holistic panoramas an... read more 
Computer Vision and Pattern Recognition

When Surfaces Lie: Exploiting Wrinkle-Induced Attention Shift to Attack Vision-Language Models

arXiv Mar 29, 2026
Visual-Language Models (VLMs) have demonstrated exceptional cross-modal understanding across various tasks, including zero-shot classification, image captioning, and visual question answering. However, their robustness to physically plausible non-rig... read more 
Computer Vision and Pattern Recognition

Inference-time Trajectory Optimization for Manga Image Editing

arXiv Mar 29, 2026
We present an inference-time adaptation method that tailors a pretrained image editing model to each input manga image using only the input image itself. Despite recent progress in pretrained image editing, such models often underperform on manga bec... read more 
Computer Vision and Pattern Recognition

What-If Explanations Over Time: Counterfactuals for Time Series Classification

arXiv Mar 29, 2026
Counterfactual explanations emerge as a powerful approach in explainable AI, providing what-if scenarios that reveal how minimal changes to an input time series can alter the model's prediction. This work presents a survey of recent algorithms for co... read more 
Machine Learning cs.AI stat.ML

Towards Emotion Recognition with 3D Pointclouds Obtained from Facial Expression Images

arXiv Mar 29, 2026
Facial Emotion Recognition is a critical research area within Affective Computing due to its wide-ranging applications in Human Computer Interaction, mental health assessment and fatigue monitoring. Current FER methods predominantly rely on Deep Lear... read more 
Computer Vision and Pattern Recognition cs.AI cs.ET cs.HC eess.IV

Diversity Matters: Dataset Diversification and Dual-Branch Network for Generalized AI-Generated Image Detection

arXiv Mar 29, 2026
The rapid proliferation of AI-generated images, powered by generative adversarial networks (GANs), diffusion models, and other synthesis techniques, has raised serious concerns about misinformation, copyright violations, and digital security. However... read more 
Computer Vision and Pattern Recognition

Towards Context-Aware Image Anonymization with Multi-Agent Reasoning

arXiv Mar 29, 2026
Street-level imagery contains personally identifiable information (PII), some of which is context-dependent. Existing anonymization methods either over-process images or miss subtle identifiers, while API-based solutions compromise data sovereignty. ... read more 
Computer Vision and Pattern Recognition cs.AI cs.CR

Benchmarking Multi-View BEV Object Detection with Mixed Pinhole and Fisheye Cameras

arXiv Mar 29, 2026
Modern autonomous driving systems increasingly rely on mixed camera configurations with pinhole and fisheye cameras for full view perception. However, Bird's-Eye View (BEV) 3D object detection models are predominantly designed for pinhole cameras, le... read more 
Computer Vision and Pattern Recognition cs.RO

ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks

arXiv Mar 29, 2026
Advances in diffusion, autoregressive, and hybrid models have enabled high-quality image synthesis for tasks such as text-to-image, editing, and reference-guided composition. Yet, existing benchmarks remain limited, either focus on isolated tasks, co... read more 
Graphics cs.AI cs.CV cs.LG
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