Artificial Intelligence Medical Compendium

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

Showing 52,031 to 52,040 of 225,279 articles

Fake-HR1: Rethinking reasoning of vision language model for synthetic image detection

arXiv Feb 10, 2026
Recent studies have demonstrated that incorporating Chain-of-Thought (CoT) reasoning into the detection process can enhance a model's ability to detect synthetic images. However, excessively lengthy reasoning incurs substantial resource overhead, inc... read more 
Computer Vision and Pattern Recognition cs.AI

Fake-HR1: Rethinking Reasoning of Vision Language Model for Synthetic Image Detection

arXiv Feb 10, 2026
Recent studies have demonstrated that incorporating Chain-of-Thought (CoT) reasoning into the detection process can enhance a model's ability to detect synthetic images. However, excessively lengthy reasoning incurs substantial resource overhead, inc... read more 
Computer Vision and Pattern Recognition cs.AI

Simple Image Processing and Similarity Measures Can Link Data Samples across Databases through Brain MRI

arXiv Feb 10, 2026
Head Magnetic Resonance Imaging (MRI) is routinely collected and shared for research under strict regulatory frameworks. These frameworks require removing potential identifiers before sharing. But, even after skull stripping, the brain parenchyma con... read more 
Computer Vision and Pattern Recognition

Conformal Prediction Sets for Instance Segmentation

arXiv Feb 10, 2026
Current instance segmentation models achieve high performance on average predictions, but lack principled uncertainty quantification: their outputs are not calibrated, and there is no guarantee that a predicted mask is close to the ground truth. To a... read more 
Computer Vision and Pattern Recognition cs.LG stat.ME stat.ML

WildCat: Near-Linear Attention in Theory and Practice

arXiv Feb 10, 2026
We introduce WildCat, a high-accuracy, low-cost approach to compressing the attention mechanism in neural networks. While attention is a staple of modern network architectures, it is also notoriously expensive to deploy due to resource requirements t... read more 
Machine Learning stat.ML

Vendi Novelty Scores for Out-of-Distribution Detection

arXiv Feb 10, 2026
Out-of-distribution (OOD) detection is critical for the safe deployment of machine learning systems. Existing post-hoc detectors typically rely on model confidence scores or likelihood estimates in feature space, often under restrictive distributiona... read more 
Machine Learning cs.CV

Can Image Splicing and Copy-Move Forgery Be Detected by the Same Model? Forensim: An Attention-Based State-Space Approach

arXiv Feb 10, 2026
We introduce Forensim, an attention-based state-space framework for image forgery detection that jointly localizes both manipulated (target) and source regions. Unlike traditional approaches that rely solely on artifact cues to detect spliced or forg... read more 
Computer Vision and Pattern Recognition

ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation

arXiv Feb 10, 2026
Image-to-Video generation (I2V) animates a static image into a temporally coherent video sequence following textual instructions, yet preserving fine-grained object identity under changing viewpoints remains a persistent challenge. Unlike text-to-vid... read more 
Computer Vision and Pattern Recognition

STRAND: Sequence-Conditioned Transport for Single-Cell Perturbations

arXiv Feb 10, 2026
Predicting how genetic perturbations change cellular state is a core problem for building controllable models of gene regulation. Perturbations targeting the same gene can produce different transcriptional responses depending on their genomic locus, ... read more 
Genomics cs.LG q-bio.CB

AD$^2$: Analysis and Detection of Adversarial Threats in Visual Perception for End-to-End Autonomous Driving Systems

arXiv Feb 10, 2026
End-to-end autonomous driving systems have achieved significant progress, yet their adversarial robustness remains largely underexplored. In this work, we conduct a closed-loop evaluation of state-of-the-art autonomous driving agents under black-box ... read more 
Computer Vision and Pattern Recognition cs.AI
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