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Category:All Headlines World & Geopolitics Markets & Economy Tech & AI PoliticsSearch results for: "Deep learning-based age e" (30 stories)

Hybrid deep learning model for brain age prediction using time-distributed convolutional and bidirectional LSTM networks

Lead StoryNaturetech

Jun 12

Hybrid deep learning model for brain age prediction using time-distributed convolutional and bidirectional LSTM networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1vNEpfOUVHbTdCZGE4Z0pTTllSaklSLW9fZUJwNXhRbC1wMUJ0WUVyb0RlYnY5T2JLcFJZNFRMUk1CbGZxM3JuQmUtdGFOb3l2STMzUERDbDVYakdIMktB?oc=5" target="_blank">Hybrid deep learning model for brain age prediction using time-distributed convolutional and bidirectional LSTM networks</a>&nbsp;&nbsp;Nature

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Search Results for "Deep learning-based age e"

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Disentangling physiological heterogeneity in retinal aging using a deep learning–based biological age framework

medRxivgeneral

Feb 16

Disentangling physiological heterogeneity in retinal aging using a deep learning–based biological age framework

<a href="https://news.google.com/rss/articles/CBMifEFVX3lxTE8xTERYeXVPajJfUWpnWUVFSUxLVkMxRVE2djVpMHY1ZGs5YTF5bjdib2dLcmZSNmZDMVN0bFZxeklTeTFVdDJBTk5mODlDLTVpeFF1bVdLMVZiTUpibUxEY0txTW1nTk9VVUI5eDZ5c3BhQUlkbUp4c0ZEVXM?oc=5" target="_blank">Disentangling physiological heterogeneity in retinal aging using a deep learning–based biological age framework</a>&nbsp;&nbsp;medRxiv

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Hybrid deep learning model for brain age prediction using time-distributed convolutional and bidirectional LSTM networks

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Search Results for "Deep learning-based age e"

Disentangling physiological heterogeneity in retinal aging using a deep learning–based biological age framework

Deep learning-based neonatal outcome prediction: an LSTM autoencoder framework for pattern analysis and risk assessment

Deep Learning–based Brain Age Prediction Using MRI to Identify Fetuses with Cerebral Ventriculomegaly

Deep learning-based brain age predicts stroke recurrence in acute ischemic cerebrovascular disease

Deep learning–based basilar artery wall and lumen segmentation from 1-mm MR vessel wall imaging

Imaging-derived biological age across multiple organs links to mortality and aging-related health outcomes

Mammo-AGE: deep learning estimation of breast age from mammograms

Evaluation of deep learning-based retinal pigment epithelium segmentation for a widely used optical coherence tomography device

Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis | Communications Medicine

LensAge index as a deep learning-based biological age for self-monitoring the risks of age-related diseases and mortality

Accelerating computer vision-based human identification through the integration of deep learning-based age estimation from 2 to 89 years

Explainable deep learning for age and gender estimation in dental CBCT scans using attention mechanisms and multi task learning

Deep learning-based brain age prediction in normal aging and dementia

Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study report 5)

Deep learning-based prediction of one-year mortality in Finland is an accurate but unfair aging marker

Machine learning and deep learning-based drug-drug interactions prediction: a systematic review focused on anticancer drugs

External validation of deep learning-based bone-age software: a preliminary study with real world data

Spine age estimation using deep learning in lateral spine radiographs and DXA VFA to predict incident fracture and mortality

Age estimation from sleep studies using deep learning predicts life expectancy | npj Digital Medicine

Beyond the Age Gap: Longitudinal Aging Velocity as a Dynamic Biomarker in Chest Radiography

Deep Learning for Survival Prediction in Glioblastoma: Time-dependent Model Interpretability Using MRI, Clinical, and Molecular Data

Deep-learning tissue clocks reveal how organs age and leave disease-linked signals in blood

Deep learning-based, fully automated, pediatric brain segmentation - Scientific Reports

Pediatric age estimation from thoracic and abdominal CT scout views using deep learning

Deep learning-based quantification of brain atrophy using 2D T1-weighted MRI for Alzheimer’s disease classification

Deep learning-based identification of patients at increased risk of cancer using routine laboratory markers

Attention-guided deep learning for gestational age prediction using fetal brain MRI

Deep learning-based classification of multiple fundus diseases using ultra-widefield images

A deep-learning-based framework for identifying and localizing multiple abnormalities and assessing cardiomegaly in chest X-ray