Artificial Intelligence Medical Compendium

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

Showing 59,961 to 59,970 of 228,014 articles

Likelihood-Separable Diffusion Inference for Multi-Image MRI Super-Resolution

arXiv Jan 20, 2026
Diffusion models are the current state-of-the-art for solving inverse problems in imaging. Their impressive generative capability allows them to approximate sampling from a prior distribution, which alongside a known likelihood function permits poste... read more 
Computer Vision and Pattern Recognition

Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation

arXiv Jan 20, 2026
Label noise is a critical problem in medical image segmentation, often arising from the inherent difficulty of manual annotation. Models trained on noisy data are prone to overfitting, which degrades their generalization performance. While a number o... read more 
Computer Vision and Pattern Recognition cs.AI

Vision Also You Need: Navigating Out-of-Distribution Detection with Multimodal Large Language Model

arXiv Jan 20, 2026
Out-of-Distribution (OOD) detection is a critical task that has garnered significant attention. The emergence of CLIP has spurred extensive research into zero-shot OOD detection, often employing a training-free approach. Current methods leverage expe... read more 
Computer Vision and Pattern Recognition

Decoder-Free Supervoxel GNN for Accurate Brain-Tumor Localization in Multi-Modal MRI

arXiv Jan 20, 2026
Modern vision backbones for 3D medical imaging typically process dense voxel grids through parameter-heavy encoder-decoder structures, a design that allocates a significant portion of its parameters to spatial reconstruction rather than feature learn... read more 
Computer Vision and Pattern Recognition cs.AI

POCI-Diff: Position Objects Consistently and Interactively with 3D-Layout Guided Diffusion

arXiv Jan 20, 2026
We propose a diffusion-based approach for Text-to-Image (T2I) generation with consistent and interactive 3D layout control and editing. While prior methods improve spatial adherence using 2D cues or iterative copy-warp-paste strategies, they often di... read more 
Computer Vision and Pattern Recognition cs.AI

Fine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration

arXiv Jan 20, 2026
Zero-shot composed image retrieval (ZS-CIR) is a rapidly growing area with significant practical applications, allowing users to retrieve a target image by providing a reference image and a relative caption describing the desired modifications. Exist... read more 
Computer Vision and Pattern Recognition

VERIDAH: Solving Enumeration Anomaly Aware Vertebra Labeling across Imaging Sequences

arXiv Jan 20, 2026
The human spine commonly consists of seven cervical, twelve thoracic, and five lumbar vertebrae. However, enumeration anomalies may result in individuals having eleven or thirteen thoracic vertebrae and four or six lumbar vertebrae. Although the iden... read more 
Computer Vision and Pattern Recognition

MooneyMaker: A Python package to create ambiguous two-tone images

arXiv Jan 20, 2026
Mooney images are high-contrast, two-tone visual stimuli, created by thresholding photographic images. They allow researchers to separate image content from image understanding, making them valuable for studying visual perception. An ideal Mooney ima... read more 
Neurons and Cognition cs.CV

Feature-Aware Test Generation for Deep Learning Models

arXiv Jan 20, 2026
As deep learning models are widely used in software systems, test generation plays a crucial role in assessing the quality of such models before deployment. To date, the most advanced test generators rely on generative AI to synthesize inputs; howeve... read more 
Software Engineering

DermaBench: A Clinician-Annotated Benchmark Dataset for Dermatology Visual Question Answering and Reasoning

arXiv Jan 20, 2026
Vision-language models (VLMs) are increasingly important in medical applications; however, their evaluation in dermatology remains limited by datasets that focus primarily on image-level classification tasks such as lesion recognition. While valuable... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL
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