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S. Enger

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Review Open access Sep 2026

Three-dimensional deep learning nomogram for post-plan quality assurance in high-dose-rate prostate brachytherapy

Purpose Classical nomograms for high-dose-rate (HDR) prostate brachytherapy quality assurance (QA) evaluate agreement between planned and expected total dwell time but do not directly assess the three-dimensional treated volume. This study's aim was to develop a deep learning-based 3D nomogram to predict institution-sp...

Joel Beaudry, Tong-He Wang, S. Enger et al. · 0 citations
Review Open access Aug 2026

Worldwide Innovative Network Consortium: Building a Common Global Cancer Database

A narrative review of emerging cancer treatment data, molecular profiling technologies, and existing clinicogenomic databases, focusing on how tumors are characterized, how subgroups are defined, and how demographic, lifestyle, and environmental factors are captured.

Farhood Farahnak, W. El-Deiry, Yves A. Lussier et al. · 0 citations

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