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A Novel Foundation Model-Based Framework for Multimodal Retinal Age Prediction

• Authors : Christopher Nielsen; Matthias Wilms; Nils D. Forkert

Subjects: Foundation model; machine learning; retinal imaging

• Source: IEEE Journal of Translational Engineering in Health and Medicine, Vol 13, Pp 299-309 (2025)

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Brain Age Prediction Using a Lightweight Convolutional Neural Network

• Authors : Fatma Eltashani; Mario Parreno-Centeno; James H. Cole

Subjects: Biological age estimation; brain imaging; brain ageing

• Source: IEEE Access, Vol 13, Pp 6750-6763 (2025)

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Brain Age Prediction Based on Resting-State Functional MRI Using Similarity Metric Convolutional Neural Network

• Authors : Weiping Ding; Xinjie Shen; Jiashuang Huang

Subjects: Convolutional neural networks; brain age prediction; resting-state functional magnetic resonance image

• Source: IEEE Access, Vol 11, Pp 57071-57082 (2023)

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A Deep Learning-Based Brain Age Prediction Model for Preterm Infants via Neonatal MRI

• Authors : Jiajie Tang; Pu Yang; Bingbing Xie

Subjects: Deep learning; medical image processing; prediction model

• Source: IEEE Access, Vol 11, Pp 68994-69004 (2023)

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Prototype learning for explainable brain age prediction

• Authors : Hesse, LS; Dinsdale, NK; Namburete, AIL

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On the Use of URLs and Hashtags in Age Prediction of Twitter Users

• Authors : Pandya, Abhinay; Oussalah, Mourad; Monachesi, P.

Subjects: Twitter; Tagging; Feature extraction

• Source: 2018 IEEE International Conference on Information Reuse and Integration (IRI) (2018), IEEE.

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Contrastive Learning for Regression in Multi-Site Brain Age Prediction

• Authors : Barbano, Carlo Alberto; Dufumier, Benoit; Duchesnay, Edouard ...

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Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study

• Authors : Ettling, Tobias; Saba-Sadiya, Sari; Roig, Gemma

• Source: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ; page 4051-4058

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Fair and accurate age prediction using distribution aware data curation and augmentation

• Authors : Yushi Cao; David Berend; Palina Tolmach

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MJNMF-GAT: Multi-Task Joint Non-Negative Matrix Factorization Graph Attention Network for Understanding Adolescent Neurodevelopment

• Authors : Binish Patel; Tony W. Wilson; Julia M. Stephen

Subjects: Age prediction; deep learning; fMRI

• Source: IEEE Access, Vol 13, Pp 149071-149086 (2025)

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