Artificial Intelligence Medical Compendium

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

Showing 38,071 to 38,080 of 223,469 articles

Face2Parts: Exploring Coarse-to-Fine Inter-Regional Facial Dependencies for Generalized Deepfake Detection

arXiv Mar 27, 2026
Multimedia data, particularly images and videos, is integral to various applications, including surveillance, visual interaction, biometrics, evidence gathering, and advertising. However, amateur or skilled counterfeiters can simulate them to create ... read more 
Computer Vision and Pattern Recognition

Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression

arXiv Mar 27, 2026
We study rank selection for low-rank tensor regression under random covariates design. Under a Gaussian random-design model and some mild conditions, we derive population expressions for the expected training-testing discrepancy (optimism) for both C... read more 
Machine Learning cs.LG math.ST

Seeing Like Radiologists: Context- and Gaze-Guided Vision-Language Pretraining for Chest X-rays

arXiv Mar 27, 2026
Despite recent advances in medical vision-language pretraining, existing models still struggle to capture the diagnostic workflow: radiographs are typically treated as context-agnostic images, while radiologists' gaze -- a crucial cue for visual reas... read more 
Computer Vision and Pattern Recognition cs.AI

Bridging Pixels and Words: Mask-Aware Local Semantic Fusion for Multimodal Media Verification

arXiv Mar 27, 2026
As multimodal misinformation becomes more sophisticated, its detection and grounding are crucial. However, current multimodal verification methods, relying on passive holistic fusion, struggle with sophisticated misinformation. Due to 'feature diluti... read more 
Computer Vision and Pattern Recognition cs.AI

R-PGA: Robust Physical Adversarial Camouflage Generation via Relightable 3D Gaussian Splatting

arXiv Mar 27, 2026
Physical adversarial camouflage poses a severe security threat to autonomous driving systems by mapping adversarial textures onto 3D objects. Nevertheless, current methods remain brittle in complex dynamic scenarios, failing to generalize across dive... read more 
Computer Vision and Pattern Recognition cs.AI

PAD-Hand: Physics-Aware Diffusion for Hand Motion Recovery

arXiv Mar 27, 2026
Significant advancements made in reconstructing hands from images have delivered accurate single-frame estimates, yet they often lack physics consistency and provide no notion of how confidently the motion satisfies physics. In this paper, we propose... read more 
Computer Vision and Pattern Recognition

MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality

arXiv Mar 27, 2026
Accurate survival prediction from multimodal medical data is essential for precision oncology, yet clinical deployment faces a persistent challenge: modalities are frequently incomplete due to cost constraints, technical limitations, or retrospective... read more 
Computer Vision and Pattern Recognition cs.LG

When Identities Collapse: A Stress-Test Benchmark for Multi-Subject Personalization

arXiv Mar 27, 2026
Subject-driven text-to-image diffusion models have achieved remarkable success in preserving single identities, yet their ability to compose multiple interacting subjects remains largely unexplored and highly challenging. Existing evaluation protocol... read more 
Computer Vision and Pattern Recognition cs.AI

ROAST: Risk-aware Outlier-exposure for Adversarial Selective Training of Anomaly Detectors Against Evasion Attacks

arXiv Mar 27, 2026
Safety-critical domains like healthcare rely on deep neural networks (DNNs) for prediction, yet DNNs remain vulnerable to evasion attacks. Anomaly detectors (ADs) are widely used to protect DNNs, but conventional ADs are trained indiscriminately on b... read more 
Cryptography and Security

SDDF: Specificity-Driven Dynamic Focusing for Open-Vocabulary Camouflaged Object Detection

arXiv Mar 27, 2026
Open-vocabulary object detection (OVOD) aims to detect known and unknown objects in the open world by leveraging text prompts. Benefiting from the emergence of large-scale vision--language pre-trained models, OVOD has demonstrated strong zero-shot ge... read more 
Computer Vision and Pattern Recognition
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