Artificial Intelligence Medical Compendium

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

Showing 53,521 to 53,530 of 225,548 articles

ShapeUP: Scalable Image-Conditioned 3D Editing

arXiv Feb 5, 2026
Recent advancements in 3D foundation models have enabled the generation of high-fidelity assets, yet precise 3D manipulation remains a significant challenge. Existing 3D editing frameworks often face a difficult trade-off between visual controllabili... read more 
Computer Vision and Pattern Recognition cs.GR

Perception-Based Beliefs for POMDPs with Visual Observations

arXiv Feb 5, 2026
Partially observable Markov decision processes (POMDPs) are a principled planning model for sequential decision-making under uncertainty. Yet, real-world problems with high-dimensional observations, such as camera images, remain intractable for tradi... read more 
Machine Learning

Poster: Camera Tampering Detection for Outdoor IoT Systems

arXiv Feb 5, 2026
Recently, the use of smart cameras in outdoor settings has grown to improve surveillance and security. Nonetheless, these systems are susceptible to tampering, whether from deliberate vandalism or harsh environmental conditions, which can undermine t... read more 
Computer Vision and Pattern Recognition cs.AI

Disc-Centric Contrastive Learning for Lumbar Spine Severity Grading

arXiv Feb 5, 2026
This work examines a disc-centric approach for automated severity grading of lumbar spinal stenosis from sagittal T2-weighted MRI. The method combines contrastive pretraining with disc-level fine-tuning, using a single anatomically localized region o... read more 
Image and Video Processing cs.CV

LeakBoost: Perceptual-Loss-Based Membership Inference Attack

arXiv Feb 5, 2026
Membership inference attacks (MIAs) aim to determine whether a sample was part of a model's training set, posing serious privacy risks for modern machine-learning systems. Existing MIAs primarily rely on static indicators, such as loss or confidence,... read more 
Artificial Intelligence

How to Achieve the Intended Aim of Deep Clustering Now, without Deep Learning

arXiv Feb 5, 2026
Deep clustering (DC) is often quoted to have a key advantage over $k$-means clustering. Yet, this advantage is often demonstrated using image datasets only, and it is unclear whether it addresses the fundamental limitations of $k$-means clustering. D... read more 
Machine Learning

ReText: Text Boosts Generalization in Image-Based Person Re-identification

arXiv Feb 5, 2026
Generalizable image-based person re-identification (Re-ID) aims to recognize individuals across cameras in unseen domains without retraining. While multiple existing approaches address the domain gap through complex architectures, recent findings ind... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Allocentric Perceiver: Disentangling Allocentric Reasoning from Egocentric Visual Priors via Frame Instantiation

arXiv Feb 5, 2026
With the rising need for spatially grounded tasks such as Vision-Language Navigation/Action, allocentric perception capabilities in Vision-Language Models (VLMs) are receiving growing focus. However, VLMs remain brittle on allocentric spatial queries... read more 
Computer Vision and Pattern Recognition cs.AI

Learning False Discovery Rate Control via Model-Based Neural Networks

arXiv Feb 5, 2026
Controlling the false discovery rate (FDR) in high-dimensional variable selection requires balancing rigorous error control with statistical power. Existing methods with provable guarantees are often overly conservative, creating a persistent gap bet... read more 
Methodology cs.LG eess.SP stat.ML

STProtein: predicting spatial protein expression from multi-omics data

arXiv Feb 5, 2026
The integration of spatial multi-omics data from single tissues is crucial for advancing biological research. However, a significant data imbalance impedes progress: while spatial transcriptomics data is relatively abundant, spatial proteomics data r... read more 
Artificial Intelligence
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