Artificial Intelligence Medical Compendium

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

Showing 55,281 to 55,290 of 226,647 articles

Efficient Sequential Neural Network with Spatial-Temporal Attention and Linear LSTM for Robust Lane Detection Using Multi-Frame Images

arXiv Feb 3, 2026
Lane detection is a crucial perception task for all levels of automated vehicles (AVs) and Advanced Driver Assistance Systems, particularly in mixed-traffic environments where AVs must interact with human-driven vehicles (HDVs) and challenging traffi... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG eess.IV

Efficient Variance-reduced Estimation from Generative EHR Models: The SCOPE and REACH Estimators

arXiv Feb 3, 2026
Generative models trained using self-supervision of tokenized electronic health record (EHR) timelines show promise for clinical outcome prediction. This is typically done using Monte Carlo simulation for future patient trajectories. However, existin... read more 
Machine Learning cs.LG

Edge-Optimized Vision-Language Models for Underground Infrastructure Assessment

arXiv Feb 3, 2026
Autonomous inspection of underground infrastructure, such as sewer and culvert systems, is critical to public safety and urban sustainability. Although robotic platforms equipped with visual sensors can efficiently detect structural deficiencies, the... read more 
Computer Vision and Pattern Recognition

See-through: Single-image Layer Decomposition for Anime Characters

arXiv Feb 3, 2026
We introduce a framework that automates the transformation of static anime illustrations into manipulatable 2.5D models. Current professional workflows require tedious manual segmentation and the artistic ``hallucination'' of occluded regions to enab... read more 
Computer Vision and Pattern Recognition cs.GR

Zero-shot large vision-language model prompting for automated bone identification in paleoradiology x-ray archives

arXiv Feb 3, 2026
Paleoradiology, the use of modern imaging technologies to study archaeological and anthropological remains, offers new windows on millennial scale patterns of human health. Unfortunately, the radiographs collected during field campaigns are heterogen... read more 
Computer Vision and Pattern Recognition cs.AI

Test-Time Conditioning with Representation-Aligned Visual Features

arXiv Feb 3, 2026
While representation alignment with self-supervised models has been shown to improve diffusion model training, its potential for enhancing inference-time conditioning remains largely unexplored. We introduce Representation-Aligned Guidance (REPA-G), ... read more 
Computer Vision and Pattern Recognition

RAWDet-7: A Multi-Scenario Benchmark for Object Detection and Description on Quantized RAW Images

arXiv Feb 3, 2026
Most vision models are trained on RGB images processed through ISP pipelines optimized for human perception, which can discard sensor-level information useful for machine reasoning. RAW images preserve unprocessed scene data, enabling models to lever... read more 
Computer Vision and Pattern Recognition

FOVI: A biologically-inspired foveated interface for deep vision models

arXiv Feb 3, 2026
Human vision is foveated, with variable resolution peaking at the center of a large field of view; this reflects an efficient trade-off for active sensing, allowing eye-movements to bring different parts of the world into focus with other parts of th... read more 
Computer Vision and Pattern Recognition cs.NE q-bio.NC

From Pre- to Intra-operative MRI: Predicting Brain Shift in Temporal Lobe Resection for Epilepsy Surgery

arXiv Feb 3, 2026
Introduction: In neurosurgery, image-guided Neurosurgery Systems (IGNS) highly rely on preoperative brain magnetic resonance images (MRI) to assist surgeons in locating surgical targets and determining surgical paths. However, brain shift invalidates... read more 
Computer Vision and Pattern Recognition

Fast Sampling for Flows and Diffusions with Lazy and Point Mass Stochastic Interpolants

arXiv Feb 3, 2026
Stochastic interpolants unify flows and diffusions, popular generative modeling frameworks. A primary hyperparameter in these methods is the interpolation schedule that determines how to bridge a standard Gaussian base measure to an arbitrary target ... read more 
Machine Learning cs.AI cs.LG
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