Artificial Intelligence Medical Compendium

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

Showing 57,491 to 57,500 of 227,388 articles

An explainable framework for the relationship between dementia and glucose metabolism patterns

arXiv Jan 28, 2026
High-dimensional neuroimaging data presents challenges for assessing neurodegenerative diseases due to complex non-linear relationships. Variational Autoencoders (VAEs) can encode scans into lower-dimensional latent spaces capturing disease-relevant ... read more 
Machine Learning q-bio.NC

Comparative evaluation of training strategies using partially labelled datasets for segmentation of white matter hyperintensities and stroke lesions in FLAIR MRI

arXiv Jan 28, 2026
White matter hyperintensities (WMH) and ischaemic stroke lesions (ISL) are imaging features associated with cerebral small vessel disease (SVD) that are visible on brain magnetic resonance imaging (MRI) scans. The development and validation of deep l... read more 
Computer Vision and Pattern Recognition cs.AI

Say Cheese! Detail-Preserving Portrait Collection Generation via Natural Language Edits

arXiv Jan 28, 2026
As social media platforms proliferate, users increasingly demand intuitive ways to create diverse, high-quality portrait collections. In this work, we introduce Portrait Collection Generation (PCG), a novel task that generates coherent portrait colle... read more 
Computer Vision and Pattern Recognition

AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors

arXiv Jan 28, 2026
Zero-shot anomaly detection aims to detect and localise abnormal regions in the image without access to any in-domain training images. While recent approaches leverage vision-language models (VLMs), such as CLIP, to transfer high-level concept knowle... read more 
Computer Vision and Pattern Recognition

IOTA: Corrective Knowledge-Guided Prompt Learning via Black-White Box Framework

arXiv Jan 28, 2026
Recently, adapting pre-trained models to downstream tasks has attracted increasing interest. Previous Parameter-Efficient-Tuning (PET) methods regard the pre-trained model as an opaque Black Box model, relying purely on data-driven optimization and u... read more 
Computer Vision and Pattern Recognition

DeepSeek-OCR 2: Visual Causal Flow

arXiv Jan 28, 2026
We present DeepSeek-OCR 2 to investigate the feasibility of a novel encoder-DeepEncoder V2-capable of dynamically reordering visual tokens upon image semantics. Conventional vision-language models (VLMs) invariably process visual tokens in a rigid ra... read more 
Computer Vision and Pattern Recognition

SegRap2025: A Benchmark of Gross Tumor Volume and Lymph Node Clinical Target Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma

arXiv Jan 28, 2026
Accurate delineation of Gross Tumor Volume (GTV), Lymph Node Clinical Target Volume (LN CTV), and Organ-at-Risk (OAR) from Computed Tomography (CT) scans is essential for precise radiotherapy planning in Nasopharyngeal Carcinoma (NPC). Building upon ... read more 
Image and Video Processing cs.CV

Exact Graph Learning via Integer Programming

arXiv Jan 28, 2026
Learning the dependence structure among variables in complex systems is a central problem across medical, natural, and social sciences. These structures can be naturally represented by graphs, and the task of inferring such graphs from data is known ... read more 
Methodology cs.LG

CLEAR-Mamba:Towards Accurate, Adaptive and Trustworthy Multi-Sequence Ophthalmic Angiography Classification

arXiv Jan 28, 2026
Medical image classification is a core task in computer-aided diagnosis (CAD), playing a pivotal role in early disease detection, treatment planning, and patient prognosis assessment. In ophthalmic practice, fluorescein fundus angiography (FFA) and i... read more 
Computer Vision and Pattern Recognition cs.AI

WFR-MFM: One-Step Inference for Dynamic Unbalanced Optimal Transport

arXiv Jan 28, 2026
Reconstructing dynamical evolution from limited observations is a fundamental challenge in single-cell biology, where dynamic unbalanced optimal transport provides a principled framework for modeling coupled transport and mass variation. However, exi... read more 
Machine Learning cs.AI q-bio.GN
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