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Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography.
Bickelhaupt S, Paech D, Kickingereder P, Steudle F, Lederer W, Daniel H, Götz M, Gählert N, Tichy D, Wiesenfarth M, Laun FB, Maier-Hein KH, Schlemmer HP, Bonekamp D. Bickelhaupt S, et al. Among authors: wiesenfarth m. J Magn Reson Imaging. 2017 Aug;46(2):604-616. doi: 10.1002/jmri.25606. Epub 2017 Feb 2. J Magn Reson Imaging. 2017. PMID: 28152264
Combined Clinical Parameters and Multiparametric Magnetic Resonance Imaging for Advanced Risk Modeling of Prostate Cancer-Patient-tailored Risk Stratification Can Reduce Unnecessary Biopsies.
Radtke JP, Wiesenfarth M, Kesch C, Freitag MT, Alt CD, Celik K, Distler F, Roth W, Wieczorek K, Stock C, Duensing S, Roethke MC, Teber D, Schlemmer HP, Hohenfellner M, Bonekamp D, Hadaschik BA. Radtke JP, et al. Among authors: wiesenfarth m. Eur Urol. 2017 Dec;72(6):888-896. doi: 10.1016/j.eururo.2017.03.039. Epub 2017 Apr 8. Eur Urol. 2017. PMID: 28400169
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.
Ross T, Zimmerer D, Vemuri A, Isensee F, Wiesenfarth M, Bodenstedt S, Both F, Kessler P, Wagner M, Müller B, Kenngott H, Speidel S, Kopp-Schneider A, Maier-Hein K, Maier-Hein L. Ross T, et al. Among authors: wiesenfarth m. Int J Comput Assist Radiol Surg. 2018 Jun;13(6):925-933. doi: 10.1007/s11548-018-1772-0. Epub 2018 Apr 27. Int J Comput Assist Radiol Surg. 2018. PMID: 29704196
Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values.
Bonekamp D, Kohl S, Wiesenfarth M, Schelb P, Radtke JP, Götz M, Kickingereder P, Yaqubi K, Hitthaler B, Gählert N, Kuder TA, Deister F, Freitag M, Hohenfellner M, Hadaschik BA, Schlemmer HP, Maier-Hein KH. Bonekamp D, et al. Among authors: wiesenfarth m. Radiology. 2018 Oct;289(1):128-137. doi: 10.1148/radiol.2018173064. Epub 2018 Jul 31. Radiology. 2018. PMID: 30063191
Correlation between genomic index lesions and mpMRI and 68Ga-PSMA-PET/CT imaging features in primary prostate cancer.
Kesch C, Radtke JP, Wintsche A, Wiesenfarth M, Luttje M, Gasch C, Dieffenbacher S, Pecqueux C, Teber D, Hatiboglu G, Nyarangi-Dix J, Simpfendörfer T, Schönberg G, Dimitrakopoulou-Strauss A, Freitag M, Duensing A, Grüllich C, Jäger D, Götz M, Grabe N, Schweiger MR, Pahernik S, Perner S, Herpel E, Roth W, Wieczorek K, Maier-Hein K, Debus J, Haberkorn U, Giesel F, Galle J, Hadaschik B, Schlemmer HP, Hohenfellner M, Bonekamp D, Sültmann H, Duensing S. Kesch C, et al. Among authors: wiesenfarth m. Sci Rep. 2018 Nov 12;8(1):16708. doi: 10.1038/s41598-018-35058-3. Sci Rep. 2018. PMID: 30420756 Free PMC article.
Combined Clinical Parameters and Multiparametric Magnetic Resonance Imaging for the Prediction of Extraprostatic Disease-A Risk Model for Patient-tailored Risk Stratification When Planning Radical Prostatectomy.
Nyarangi-Dix J, Wiesenfarth M, Bonekamp D, Hitthaler B, Schütz V, Dieffenbacher S, Mueller-Wolf M, Roth W, Stenzinger A, Duensing S, Roethke M, Teber D, Schlemmer HP, Hohenfellner M, Radtke JP. Nyarangi-Dix J, et al. Among authors: wiesenfarth m. Eur Urol Focus. 2020 Nov 15;6(6):1205-1212. doi: 10.1016/j.euf.2018.11.004. Epub 2018 Nov 23. Eur Urol Focus. 2020. PMID: 30477971
Prediction of significant prostate cancer in biopsy-naïve men: Validation of a novel risk model combining MRI and clinical parameters and comparison to an ERSPC risk calculator and PI-RADS.
Radtke JP, Giganti F, Wiesenfarth M, Stabile A, Marenco J, Orczyk C, Kasivisvanathan V, Nyarangi-Dix JN, Schütz V, Dieffenbacher S, Görtz M, Stenzinger A, Roth W, Freeman A, Punwani S, Bonekamp D, Schlemmer HP, Hohenfellner M, Emberton M, Moore CM. Radtke JP, et al. Among authors: wiesenfarth m. PLoS One. 2019 Aug 26;14(8):e0221350. doi: 10.1371/journal.pone.0221350. eCollection 2019. PLoS One. 2019. PMID: 31450235 Free PMC article.
48 results