Artificial Intelligence Medical Compendium

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

Showing 42,921 to 42,930 of 223,853 articles

IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework

arXiv Mar 10, 2026
Scalable Vector Graphics (SVG) are central to digital design due to their inherent scalability and editability. Despite significant advancements in content generation enabled by Visual Language Models (VLMs), existing text-to-SVG generation methods a... read more 
Computer Vision and Pattern Recognition

CLoE: Expert Consistency Learning for Missing Modality Segmentation

arXiv Mar 10, 2026
Multimodal medical image segmentation often faces missing modalities at inference, which induces disagreement among modality experts and makes fusion unstable, particularly on small foreground structures. We propose Consistency Learning of Experts (C... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

SpaceSense-Bench: A Large-Scale Multi-Modal Benchmark for Spacecraft Perception and Pose Estimation

arXiv Mar 10, 2026
Autonomous space operations such as on-orbit servicing and active debris removal demand robust part-level semantic understanding and precise relative navigation of target spacecraft, yet collecting large-scale real data in orbit remains impractical d... read more 
Computer Vision and Pattern Recognition cs.AI

OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in Multimodal Large Language Models

arXiv Mar 10, 2026
Multimodal large language models (MLLMs) have achieved remarkable performance across a wide range of vision language tasks. However, their ability in low-level visual perception, particularly in detecting fine-grained visual discrepancies, remains un... read more 
Computer Vision and Pattern Recognition

Predictive Spectral Calibration for Source-Free Test-Time Regression

arXiv Mar 10, 2026
Test-time adaptation (TTA) for image regression has received far less attention than its classification counterpart. Methods designed for classification often depend on classification-specific objectives and decision boundaries, making them difficult... read more 
Computer Vision and Pattern Recognition

Robust Provably Secure Image Steganography via Latent Iterative Optimization

arXiv Mar 10, 2026
We propose a robust and provably secure image steganography framework based on latent-space iterative optimization. Within this framework, the receiver treats the transmitted image as a fixed reference and iteratively refines a latent variable to min... read more 
Cryptography and Security cs.CV

Democratising Clinical AI through Dataset Condensation for Classical Clinical Models

arXiv Mar 10, 2026
Dataset condensation (DC) learns a compact synthetic dataset that enables models to match the performance of full-data training, prioritising utility over distributional fidelity. While typically explored for computational efficiency, DC also holds p... read more 
Machine Learning cs.AI cs.CR

Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification

arXiv Mar 10, 2026
Physics-informed neural networks (PINNs) have shown promise in addressing the ill-posed deconvolution problem in computed tomography perfusion (CTP) imaging for acute ischemic stroke assessment. However, existing PINN-based approaches remain determin... read more 
Computer Vision and Pattern Recognition

MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification

arXiv Mar 10, 2026
Modern foundation models provide highly expressive visual representations, yet adapting them to high-resolution medical imaging remains challenging due to limited annotations and weak supervision. Mammography, in particular, is characterized by large... read more 
Computer Vision and Pattern Recognition cs.AI

Training-Free Coverless Multi-Image Steganography with Access Control

arXiv Mar 10, 2026
Coverless Image Steganography (CIS) hides information without explicitly modifying a cover image, providing strong imperceptibility and inherent robustness to steganalysis. However, existing CIS methods largely lack robust access control, making it d... read more 
Computer Vision and Pattern Recognition
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