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Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique.
Hu L, Fu C, Song X, Grimm R, von Busch H, Benkert T, Kamen A, Lou B, Huisman H, Tong A, Penzkofer T, Choi MH, Shabunin I, Winkel D, Xing P, Szolar D, Coakley F, Shea S, Szurowska E, Guo JY, Li L, Li YH, Zhao JG. Hu L, et al. Among authors: xing p. Cancer Imaging. 2023 Jan 17;23(1):6. doi: 10.1186/s40644-023-00527-0. Cancer Imaging. 2023. PMID: 36647150 Free PMC article.
A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase Study.
Winkel DJ, Tong A, Lou B, Kamen A, Comaniciu D, Disselhorst JA, Rodríguez-Ruiz A, Huisman H, Szolar D, Shabunin I, Choi MH, Xing P, Penzkofer T, Grimm R, von Busch H, Boll DT. Winkel DJ, et al. Among authors: xing p. Invest Radiol. 2021 Oct 1;56(10):605-613. doi: 10.1097/RLI.0000000000000780. Invest Radiol. 2021. PMID: 33787537
Detection and PI-RADS classification of focal lesions in prostate MRI: Performance comparison between a deep learning-based algorithm (DLA) and radiologists with various levels of experience.
Youn SY, Choi MH, Kim DH, Lee YJ, Huisman H, Johnson E, Penzkofer T, Shabunin I, Winkel DJ, Xing P, Szolar D, Grimm R, von Busch H, Son Y, Lou B, Kamen A. Youn SY, et al. Among authors: xing p. Eur J Radiol. 2021 Sep;142:109894. doi: 10.1016/j.ejrad.2021.109894. Epub 2021 Aug 5. Eur J Radiol. 2021. PMID: 34388625
A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists.
Labus S, Altmann MM, Huisman H, Tong A, Penzkofer T, Choi MH, Shabunin I, Winkel DJ, Xing P, Szolar DH, Shea SM, Grimm R, von Busch H, Kamen A, Herold T, Baumann C. Labus S, et al. Among authors: xing p. Eur Radiol. 2023 Jan;33(1):64-76. doi: 10.1007/s00330-022-08978-y. Epub 2022 Jul 28. Eur Radiol. 2023. PMID: 35900376
Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibroblast Activation Protein Expression in Patients With Pancreatic Ductal Adenocarcinoma.
Meng Y, Zhang H, Li Q, Xing P, Liu F, Cao K, Fang X, Li J, Yu J, Feng X, Ma C, Wang L, Jiang H, Lu J, Bian Y, Shao C. Meng Y, et al. Among authors: xing p. J Magn Reson Imaging. 2021 Nov;54(5):1432-1443. doi: 10.1002/jmri.27648. Epub 2021 Apr 22. J Magn Reson Imaging. 2021. PMID: 33890347
759 results