Artificial Intelligence Medical Compendium

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

Showing 42,901 to 42,910 of 223,853 articles

VIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTs

arXiv Mar 10, 2026
Vision-language pretraining has driven significant progress in medical image analysis. However, current methods typically supervise visual encoders using one-hot labels or free-form text, neither of which effectively captures the complex semantic rel... read more 
Computer Vision and Pattern Recognition cs.AI

VIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTs

arXiv Mar 10, 2026
Vision-language pretraining has driven significant progress in medical image analysis. However, current methods typically supervise visual encoders using one-hot labels or free-form text, neither of which effectively captures the complex semantic rel... read more 
Computer Vision and Pattern Recognition cs.AI

QUSR: Quality-Aware and Uncertainty-Guided Image Super-Resolution Diffusion Model

arXiv Mar 10, 2026
Diffusion-based image super-resolution (ISR) has shown strong potential, but it still struggles in real-world scenarios where degradations are unknown and spatially non-uniform, often resulting in lost details or visual artifacts. To address this cha... read more 
Computer Vision and Pattern Recognition cs.AI

Transformer-Based Multi-Region Segmentation and Radiomic Analysis of HR-pQCT Imaging

arXiv Mar 10, 2026
Osteoporosis is a skeletal disease typically diagnosed using dual-energy X-ray absorptiometry (DXA), which quantifies areal bone mineral density but overlooks bone microarchitecture and surrounding soft tissues. High-resolution peripheral quantitativ... read more 
Computer Vision and Pattern Recognition

Transformer-Based Multi-Region Segmentation and Radiomic Analysis of HR-pQCT Imaging for Osteoporosis Classification

arXiv Mar 10, 2026
Osteoporosis is a skeletal disease typically diagnosed using dual-energy X-ray absorptiometry (DXA), which quantifies areal bone mineral density but overlooks bone microarchitecture and surrounding soft tissues. High-resolution peripheral quantitativ... read more 
Computer Vision and Pattern Recognition

Rotation Equivariant Mamba for Vision Tasks

arXiv Mar 10, 2026
Rotation equivariance constitutes one of the most general and crucial structural priors for visual data, yet it remains notably absent from current Mamba-based vision architectures. Despite the success of Mamba in natural language processing and its ... read more 
Computer Vision and Pattern Recognition

RubiCap: Rubric-Guided Reinforcement Learning for Dense Image Captioning

arXiv Mar 10, 2026
Dense image captioning is critical for cross-modal alignment in vision-language pretraining and text-to-image generation, but scaling expert-quality annotations is prohibitively expensive. While synthetic captioning via strong vision-language models ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

POLISH'ing the Sky: Wide-Field and High-Dynamic Range Interferometric Image Reconstruction with Application to Strong Lens Discovery

arXiv Mar 10, 2026
Radio interferometry enables high-resolution imaging of astronomical radio sources by synthesizing a large effective aperture from an array of antennas and solving a deconvolution problem to reconstruct the image. Deep learning has emerged as a promi... read more 
Instrumentation and Methods for Astrophysics cs.CV eess.IV

Progressive Split Mamba: Effective State Space Modelling for Image Restoration

arXiv Mar 10, 2026
Image restoration requires simultaneously preserving fine-grained local structures and maintaining long-range spatial coherence. While convolutional networks struggle with limited receptive fields, and Transformers incur quadratic complexity for glob... read more 
Computer Vision and Pattern Recognition

MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data

arXiv Mar 10, 2026
Self-evolving has emerged as a key paradigm for improving foundational models such as Large Language Models (LLMs) and Vision Language Models (VLMs) with minimal human intervention. While recent approaches have demonstrated that LLM agents can self-e... read more 
Computer Vision and Pattern Recognition cs.LG
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