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Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI Datasets.
Li H, Liu H, von Busch H, Grimm R, Huisman H, Tong A, Winkel D, Penzkofer T, Shabunin I, Choi MH, Yang Q, Szolar D, Shea S, Coakley F, Harisinghani M, Oguz I, Comaniciu D, Kamen A, Lou B. Li H, et al. Among authors: huisman h. Radiol Artif Intell. 2024 Sep;6(5):e230521. doi: 10.1148/ryai.230521. Radiol Artif Intell. 2024. PMID: 39166972 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: 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
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: huisman h. Eur Radiol. 2023 Jan;33(1):64-76. doi: 10.1007/s00330-022-08978-y. Epub 2022 Jul 28. Eur Radiol. 2023. PMID: 35900376
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.
Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study.
Saha A, Bosma JS, Twilt JJ, van Ginneken B, Bjartell A, Padhani AR, Bonekamp D, Villeirs G, Salomon G, Giannarini G, Kalpathy-Cramer J, Barentsz J, Maier-Hein KH, Rusu M, Rouvière O, van den Bergh R, Panebianco V, Kasivisvanathan V, Obuchowski NA, Yakar D, Elschot M, Veltman J, Fütterer JJ, de Rooij M, Huisman H; PI-CAI consortium. Saha A, et al. Among authors: huisman h. Lancet Oncol. 2024 Jul;25(7):879-887. doi: 10.1016/S1470-2045(24)00220-1. Epub 2024 Jun 11. Lancet Oncol. 2024. PMID: 38876123 Free PMC article. Clinical Trial.
337 results