Artificial Intelligence Medical Compendium

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

Showing 31,861 to 31,870 of 220,797 articles

NeuVolEx: Implicit Neural Features for Volume Exploration

arXiv Apr 13, 2026
Direct volume rendering (DVR) aims to help users identify and examine regions of interest (ROIs) within volumetric data, and feature representations that support effective ROI classification and clustering play a fundamental role in volume exploratio... read more 
Graphics cs.CV

Precision Synthesis of Multi-Tracer PET via VLM-Modulated Rectified Flow for Stratifying Mild Cognitive Impairment

arXiv Apr 13, 2026
The biological definition of Alzheimer's disease (AD) relies on multi-modal neuroimaging, yet the clinical utility of positron emission tomography (PET) is limited by cost and radiation exposure, hindering early screening at preclinical or prodromal ... read more 
Computer Vision and Pattern Recognition

Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matching

arXiv Apr 13, 2026
Forecasting neural activity in response to naturalistic stimuli remains a key challenge for understanding brain dynamics and enabling downstream neurotechnological applications. Here, we introduce a generative forecasting framework for modeling neura... read more 
Neurons and Cognition cs.LG

MedP-CLIP: Medical CLIP with Region-Aware Prompt Integration

arXiv Apr 13, 2026
Contrastive Language-Image Pre-training (CLIP) has demonstrated outstanding performance in global image understanding and zero-shot transfer through large-scale text-image alignment. However, the core of medical image analysis often lies in the fine-... read more 
Computer Vision and Pattern Recognition

LoViF 2026 Challenge on Human-oriented Semantic Image Quality Assessment: Methods and Results

arXiv Apr 13, 2026
This paper reviews the LoViF 2026 Challenge on Human-oriented Semantic Image Quality Assessment. This challenge aims to raise a new direction, i.e., how to evaluate the loss of semantic information from the human perspective, intending to promote the... read more 
Computer Vision and Pattern Recognition

H-SPAM: Hierarchical Superpixel Anything Model

arXiv Apr 13, 2026
Superpixels offer a compact image representation by grouping pixels into coherent regions. Recent methods have reached a plateau in terms of segmentation accuracy by generating noisy superpixel shapes. Moreover, most existing approaches produce a sin... read more 
Computer Vision and Pattern Recognition

NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3)

arXiv Apr 13, 2026
In this paper, we present a comprehensive overview of the NTIRE 2026 3rd Restore Any Image Model (RAIM) challenge, with a specific focus on Track 3: AI Flash Portrait. Despite significant advancements in deep learning for image restoration, existing ... read more 
Computer Vision and Pattern Recognition

AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning

arXiv Apr 13, 2026
Accurate prediction of antibody-antigen binding affinity is fundamental to therapeutic design, yet remains constrained by severe label sparsity and the complexity of antigenic variations. In this paper, we propose AbLWR (Antibody-antigen binding affi... read more 
Machine Learning cs.AI

Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables

arXiv Apr 13, 2026
Conformal selection (CS) uses calibration data to identify test inputs whose unobserved outcomes are likely to satisfy a pre-specified minimal quality requirement, while controlling the false discovery rate (FDR). Existing methods fix the target FDR ... read more 
Machine Learning cs.IT stat.ML

Any 3D Scene is Worth 1K Tokens: 3D-Grounded Representation for Scene Generation at Scale

arXiv Apr 13, 2026
3D scene generation has long been dominated by 2D multi-view or video diffusion models. This is due not only to the lack of scene-level 3D latent representation, but also to the fact that most scene-level 3D visual data exists in the form of multi-vi... read more 
Computer Vision and Pattern Recognition cs.CG
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