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1. Fassia MK, Balasubramanian A, Woo S, Vargas HA, Hricak H, Konukoglu E, Becker AS. Deep Learning Prostate MRI Segmentation Accuracy and Robustness: A Systematic Review. Radiol Artif Intell. 2024 Jul;6(4):e230138. doi: 10.1148/ryai.230138. [doi]
2. Nematollahi H, Moslehi M, Aminolroayaei F, Maleki M, Shahbazi-Gahrouei D. Diagnostic Performance Evaluation of Multiparametric Magnetic Resonance Imaging in the Detection of Prostate Cancer with Supervised Machine Learning Methods. Diagnostics (Basel). 2023 Feb 20;13(4):806. doi: 10.3390/diagnostics13040806. [doi]
3. Fassia MK, Balasubramanian A, Woo S, Vargas HA, Hricak H, Konukoglu E, Becker AS. Deep Learning Prostate MRI Segmentation Accuracy and Robustness: A Systematic Review. Radiol Artif Intell. 2024 Jul;6(4):e230138. doi: 10.1148/ryai.230138. [doi]
4. Turkbey B, Haider MA. Deep learning-based artificial intelligence applications in prostate MRI: brief summary. Br J Radiol. 2022 Mar 1;95(1131):20210563. doi: 10.1259/bjr.20210563. [doi]