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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: huisman h. Cancer Imaging. 2023 Jan 17;23(1):6. doi: 10.1186/s40644-023-00527-0. Cancer Imaging. 2023. PMID: 36647150 Free PMC article.
Prospective assessment of prostate cancer aggressiveness using 3-T diffusion-weighted magnetic resonance imaging-guided biopsies versus a systematic 10-core transrectal ultrasound prostate biopsy cohort.
Hambrock T, Hoeks C, Hulsbergen-van de Kaa C, Scheenen T, Fütterer J, Bouwense S, van Oort I, Schröder F, Huisman H, Barentsz J. Hambrock T, et al. Among authors: huisman h. Eur Urol. 2012 Jan;61(1):177-84. doi: 10.1016/j.eururo.2011.08.042. Epub 2011 Aug 27. Eur Urol. 2012. PMID: 21924545
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: huisman h. Invest Radiol. 2021 Oct 1;56(10):605-613. doi: 10.1097/RLI.0000000000000780. Invest Radiol. 2021. PMID: 33787537
ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging.
Penzkofer T, Padhani AR, Turkbey B, Haider MA, Huisman H, Walz J, Salomon G, Schoots IG, Richenberg J, Villeirs G, Panebianco V, Rouviere O, Logager VB, Barentsz J. Penzkofer T, et al. Among authors: huisman h. Eur Radiol. 2021 Dec;31(12):9567-9578. doi: 10.1007/s00330-021-08021-6. Epub 2021 May 15. Eur Radiol. 2021. PMID: 33991226 Free PMC article.
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: huisman h. Eur J Radiol. 2021 Sep;142:109894. doi: 10.1016/j.ejrad.2021.109894. Epub 2021 Aug 5. Eur J Radiol. 2021. PMID: 34388625
329 results