Article

Supervoxel-based image-to-biomarker conversions - An initial study on morphological age prediction from whole-body MRI and its clinical relevance in the UK Biobank

2025-10-25

Abstract excerpt

Biological aging remains a central focus of research, from the scale of sub-cellular processes to whole-organism tissue morphology and function. In this work, we developed a novel and quantitatively interpretable method for the prediction of variables, such as age, from tomographic medical images. The method uses supervoxels (whose granularity is selected by the user), standardized through inter-subject image regi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8b81f73a-4ea0-5300-81ad-9942badf801a
DOI: 10.1101/2025.10.24.25338723

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Supervoxel-based image-to-biomarker conversions - An initial study on morphological age prediction from whole-body MRI and its clinical relevance in the UK BiobankDOI 10.1101/2025.10.24.25338723Read

Histological aging signatures enable tissue-specific disease prediction from bloodSemantic proximity Read

From a deep learning model back to the brain - inferring morphological markers and their relation to agingSemantic proximity Read

Analyzing the multidimensionality of biological aging with the tools of deep learning across diverse image-based and physiological indicators yields robust age predictorsSemantic proximity Read

Learning Patterns of the Ageing Brain in MRI using Deep Convolutional NetworksSemantic proximity Read

Brain age prediction of healthy subjects on anatomic MRI with deep learning: going beyond with an "explainable AI" mindsetSemantic proximity Read

Novel biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevitySemantic proximity Read

Learning patterns of the ageing brain in MRI using deep convolutional networks.Semantic proximity Read

Extensive T1-weighted MRI Preprocessing Improves Generalizability of Deep Brain Age Prediction Models <sup>⋆</sup>Semantic proximity Read

Body fat and human cardiovascular ageingSemantic proximity Read

Brain-age prediction: a systematic comparison of machine learning workflowsSemantic proximity Read

AI-Based Estimation and Segmentation of Biological Age Using Clinical DataSemantic proximity Read

Imaging-based organ-specific aging clock predicts human diseases and mortalitySemantic proximity Read