Artificial Intelligence Medical Compendium

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

Showing 44,711 to 44,720 of 224,055 articles

Adversarial Batch Representation Augmentation for Batch Correction in High-Content Cellular Screening

arXiv Mar 5, 2026
High-Content Screening routinely generates massive volumes of cell painting images for phenotypic profiling. However, technical variations across experimental executions inevitably induce biological batch (bio-batch) effects. These cause covariate sh... read more 
Computer Vision and Pattern Recognition cs.AI

Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction

arXiv Mar 5, 2026
Accelerated cardiac cine MRI requires reconstructing spatiotemporal images from highly undersampled k-space data. Implicit neural representations (INRs) enable scan-specific reconstruction without large training datasets, but encode content implicitl... read more 
Image and Video Processing cs.CV

OWL: A Novel Approach to Machine Perception During Motion

arXiv Mar 5, 2026
We introduce a perception-related function, OWL, designed to address the complex challenges of 3D perception during motion. It derives its values directly from two fundamental visual motion cues, with one set of cue values per point per time instant.... read more 
Computer Vision and Pattern Recognition

Longitudinal Lesion Inpainting in Brain MRI via 3D Region Aware Diffusion

arXiv Mar 5, 2026
Accurate longitudinal analysis of brain MRI is often hindered by evolving lesions, which bias automated neuroimaging pipelines. While deep generative models have shown promise in inpainting these lesions, most existing methods operate cross-sectional... read more 
Image and Video Processing cs.AI cs.CV

MultiHaystack: Benchmarking Multimodal Retrieval and Reasoning over 40K Images, Videos, and Documents

arXiv Mar 5, 2026
Multimodal large language models (MLLMs) achieve strong performance on benchmarks that evaluate text, image, or video understanding separately. However, these settings do not assess a critical real-world requirement, which involves retrieving relevan... read more 
Computer Vision and Pattern Recognition

Interpretable Perception and Reasoning for Audiovisual Geolocation

arXiv Mar 5, 2026
While recent advances in Multimodal Large Language Models (MLLMs) have improved image-based localization, precise global geolocation remains a formidable challenge due to the inherent ambiguity of visual landscapes and the largely untapped potential ... read more 
Computer Vision and Pattern Recognition

Interpretable Motion Artificat Detection in structural Brain MRI

arXiv Mar 5, 2026
Automated quality assessment of structural brain MRI is an important prerequisite for reliable neuroimaging analysis, but yet remains challenging due to motion artifacts and poor generalization across acquisition sites. Existing approaches based on i... read more 
Image and Video Processing cs.CV

Unlocking ImageNet's Multi-Object Nature: Automated Large-Scale Multilabel Annotation

arXiv Mar 5, 2026
The original ImageNet benchmark enforces a single-label assumption, despite many images depicting multiple objects. This leads to label noise and limits the richness of the learning signal. Multi-label annotations more accurately reflect real-world v... read more 
Computer Vision and Pattern Recognition

Full Dynamic Range Sky-Modelling For Image Based Lighting

arXiv Mar 5, 2026
Accurate environment maps are a key component to modelling real-world outdoor scenes. They enable captivating visual arts, immersive virtual reality and a wide range of scientific and engineering applications. To alleviate the burden of physical-capt... read more 
Computer Vision and Pattern Recognition cs.GR cs.LG

Score-Guided Proximal Projection: A Unified Geometric Framework for Rectified Flow Editing

arXiv Mar 5, 2026
Rectified Flow (RF) models achieve state-of-the-art generation quality, yet controlling them for precise tasks -- such as semantic editing or blind image recovery -- remains a challenge. Current approaches bifurcate into inversion-based guidance, whi... read more 
Machine Learning
Popular Topics
Recent Journals