Artificial Intelligence Medical Compendium

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

Showing 27,101 to 27,110 of 218,547 articles

ID-Eraser: Proactive Defense Against Face Swapping via Identity Perturbation

arXiv Apr 23, 2026
Deepfake technologies have rapidly advanced with modern generative AI, and face swapping in particular poses serious threats to privacy and digital security. Existing proactive defenses mostly rely on pixel-level perturbations, which are ineffective ... read more 
Computer Vision and Pattern Recognition

Drug Synergy Prediction via Residual Graph Isomorphism Networks and Attention Mechanisms

arXiv Apr 23, 2026
In the treatment of complex diseases, treatment regimens using a single drug often yield limited efficacy and can lead to drug resistance. In contrast, combination drug therapies can significantly improve therapeutic outcomes through synergistic effe... read more 
Machine Learning cs.AI

Rethinking Cross-Domain Evaluation for Face Forgery Detection with Semantic Fine-grained Alignment and Mixture-of-Experts

arXiv Apr 23, 2026
Nowadays, visual data forgery detection plays an increasingly important role in social and economic security with the rapid development of generative models. Existing face forgery detectors still can't achieve satisfactory performance because of poor... read more 
Computer Vision and Pattern Recognition

VFM$^{4}$SDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection

arXiv Apr 23, 2026
In real-world scenarios, continual changes in weather, illumination, and imaging conditions cause significant domain shifts, leading detectors trained on a single source domain to degrade severely in unseen environments. Existing single-domain genera... read more 
Computer Vision and Pattern Recognition

Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models

arXiv Apr 23, 2026
Large Vision-Language Models (VLMs) are increasingly used to evaluate outputs of other models, for image-to-text (I2T) tasks such as visual question answering, and text-to-image (T2I) generation tasks. Despite this growing reliance, the reliability o... read more 
Computer Vision and Pattern Recognition cs.CL

Attention-based multiple instance learning for predominant growth pattern prediction in lung adenocarcinoma wsi using foundation models

arXiv Apr 23, 2026
Lung adenocarcinoma (LUAD) grading depends on accurately identifying growth patterns, which are indicators of prognosis and can influence treatment decisions. Common deep learning approaches to determine the predominant pattern rely on patch-level cl... read more 
Computer Vision and Pattern Recognition cs.AI

CHRep: Cross-modal Histology Representation and Post-hoc Calibration for Spatial Gene Expression Prediction

arXiv Apr 23, 2026
Spatial transcriptomics (ST) enables spatially resolved gene profiling but remains expensive and low-throughput, limiting large-cohort studies and routine clinical use. Predicting spatial gene expression from routine hematoxylin and eosin (H&E) slide... read more 
Computer Vision and Pattern Recognition q-bio.QM

OmniFit: Multi-modal 3D Body Fitting via Scale-agnostic Dense Landmark Prediction

arXiv Apr 23, 2026
Fitting an underlying body model to 3D clothed human assets has been extensively studied, yet most approaches focus on either single-modal inputs such as point clouds or multi-view images alone, often requiring a known metric scale. This constraint i... read more 
Computer Vision and Pattern Recognition cs.GR

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

arXiv Apr 23, 2026
Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor-based circuits are particularly promising for RC, as their intrin... read more 
Neural and Evolutionary Computing cs.AI cs.AR cs.ET cs.LG

DCMorph: Face Morphing via Dual-Stream Cross-Attention Diffusion

arXiv Apr 23, 2026
Advancing face morphing attack techniques is crucial to anticipate evolving threats and develop robust defensive mechanisms for identity verification systems. This work introduces DCMorph, a dual-stream diffusion-based morphing framework that simulta... read more 
Computer Vision and Pattern Recognition
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