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Review Open access Sep 2026

Deep learning for blood glucose prediction: Reproducibility challenges and factors affecting differential performance

Key reproducibility challenges associated with current blood glucose prediction methods within type 1 diabetes populations are identified, highlighting the need for increased transparency, dataset diversity, standardized evaluation practices, and code accessibility to ensure reproducible and reliable models for blood g...

Bai-Ying Lu, B. Wagle, Zhao-Hui Liang et al. · 0 citations
Open access Aug 2026

Augmenting Deep Learning-Based PSMA PET/CT Metastasis Segmentation with a Population-Level Spatial Atlas

Automated lesion segmentation is increasingly central to PSMA PET/CT interpretation, supporting staging, treatment planning, and response assessment at a scale that outpaces available nuclear-medicine expertise. However, automated PSMA-PET/CT whole-body lesion segmentation models are trained on images alone, with no kn...

G. Chau, B. A. Biswas, B. Wagle et al. · 0 citations

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