Author

Heinrich von Busch

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Sep 2026

Performance of a deep learning algorithm on deep learning reconstruction-accelerated prostate biparametric MRI: A preliminary study.

PURPOSE To evaluate the robustness of a deep learning algorithm (DLA) for prostate lesion detection and classification trained on conventional biparametric MRI (bpMRI) to changes in imaging inputs introduced by deep learning reconstruction (DLR)-accelerated MRI. MATERIALS AND METHODS This retrospective study included...

Young Joon Lee, M. Choi, Robert Grimm et al. · European Journal of Radiolog... · 0 citations

Open access Aug 2026

Real‐world assessment of a deep learning neural network algorithm for prostate cancer detection in MRI using true de novo data

Using true external data sets paints a much clearer picture of real‐world clinical performance of an algorithm using true external image data sets.

Steven Shea, Michael Wesolowski, A. Hashem et al. · Medical Physics (Lancaster) · 0 citations