Artificial Intelligence Medical Compendium

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

Showing 1,801 to 1,810 of 213,633 articles

Optimal Self-Distillation for Rectified Flow via Linear Probing

arXiv Jul 16, 2026
Modern generative models are increasingly trained using model-generated signals, creating both opportunities for self-improvement and risks of collapse. We study optimal self-distillation (SD) for rectified flow (RF): given a suboptimal teacher veloc... read more 
Machine Learning cs.LG

Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation

arXiv Jul 16, 2026
Text-to-image (T2I) models can synthesize realistic, prompt-aligned images, yet samples generated for the same prompt often cover only a small subset of visually distinct modes. This limits the diversity of images, and for person-centric prompts, can... read more 
Machine Learning cs.AI cs.CV

Stitch-Inferencer: Enhance Endoscopic Video Segmentation and Tracking via Panoramic Reconstruction

arXiv Jul 16, 2026
Surgical video understanding is fundamental to navigation systems. Endoscopic perception is often hindered by a limited field-of-view and frequent instrument occlusions, making spatio-temporal context essential for robust inference. These challenges ... read more 
Computer Vision and Pattern Recognition

On Success and Simplicity: A Second Look at Transferable Vision-Language Attack Pipeline

arXiv Jul 16, 2026
Vision-Language Pre-training Models (VLPMs) are known to be vulnerable to adversarial attacks. Recent transferable attacks on VLPMs have followed a common pipeline with complicated loss functions or multi-stage text/image attacks. However, in this pa... read more 
Computer Vision and Pattern Recognition cs.CR

Multimodal Semantic-Aware Contrastive Learning For False Negative Mitigation in 3D Medical Imaging

arXiv Jul 16, 2026
Multimodal Contrastive Learning (CL) has shown significant performance in aligning representations across various data modalities and improving downstream tasks, especially in healthcare. It works by minimizing the distance between matched (positive)... read more 
Machine Learning q-bio.QM

Parameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening

arXiv Jul 16, 2026
Mild Cognitive Impairment is a critical early stage of cognitive decline that frequently precedes Alzheimer's disease, yet its automated detection from neuropsychological drawing tests remains fundamentally constrained by data scarcity, class imbalan... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

SUFLECA: Scaling Up Feature Learning for CAD-to-image Alignment

arXiv Jul 16, 2026
CAD-to-image alignment aims to estimate an object's 9D pose (rotation, translation, and anisotropic scale) from a single RGB image, enabling applications in robotics and augmented reality. Recent zero-shot methods use visual foundation models to matc... read more 
Computer Vision and Pattern Recognition cs.RO

ESAR: Event-Based Synthetic Aperture Reconstruction

arXiv Jul 16, 2026
Event cameras report asynchronous polarity events when changes in log--radiance exceed a fixed contrast threshold, producing signed temporal contrast measurements rather than conventional image frames. We formulate monocular event-based imaging as a ... read more 
Image and Video Processing cs.CV eess.SP

Towards Hierarchical Structure Understanding of Newspaper Images

arXiv Jul 16, 2026
Understanding newspaper images remains a challenging task due to their complex, nested hierarchical structures and dense, heterogeneous layouts. In this paper, we explore two complementary approaches for newspaper structure understanding. First, we p... read more 
Computer Vision and Pattern Recognition cs.AI cs.IR

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning

arXiv Jul 16, 2026
Multimodal models such as CLIP learn a shared embedding space for cross-modal retrieval, but continual adaptation to sequentially arriving data can disrupt the cross-modal alignment acquired from earlier phases. Conventional continual-learning method... read more 
Computer Vision and Pattern Recognition cs.LG
Popular Topics
Recent Journals