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External Validation and Retraining of DeepBleed: The First Open-Source 3D Deep Learning Network for the Segmentation of Spontaneous Intracerebral and Intraventricular Hemorrhage.
Cao H, Morotti A, Mazzacane F, Desser D, Schlunk F, Güttler C, Kniep H, Penzkofer T, Fiehler J, Hanning U, Dell'Orco A, Nawabi J. Cao H, et al. Among authors: penzkofer t. J Clin Med. 2023 Jun 12;12(12):4005. doi: 10.3390/jcm12124005. J Clin Med. 2023. PMID: 37373699 Free PMC article.
Diagnostic Accuracy and Reliability of Noncontrast Computed Tomography Markers for Acute Hematoma Expansion among Radiologists.
Almubarak H, Elsayed S, Mazzacane F, Schlunk F, Cao H, Vu LH, Vogt E, Dell Orco A, Desser D, Böhmer MFH, Akkurt BH, Sporns PB, Penzkofer T, Hanning U, Morotti A, Nawabi J. Almubarak H, et al. Among authors: penzkofer t. Tomography. 2022 Dec 9;8(6):2893-2901. doi: 10.3390/tomography8060242. Tomography. 2022. PMID: 36548534 Free PMC article.
Non-contrast computed tomography features predict intraventricular hemorrhage growth.
Nawabi J, Schlunk F, Dell'Orco A, Elsayed S, Mazzacane F, Desser D, Vu L, Vogt E, Cao H, Böhmer MFH, Akkurt BH, Sporns PB, Pasi M, Jensen-Kondering U, Broocks G, Penzkofer T, Fiehler J, Padovani A, Hanning U, Morotti A. Nawabi J, et al. Among authors: penzkofer t. Eur Radiol. 2023 Nov;33(11):7807-7817. doi: 10.1007/s00330-023-09707-9. Epub 2023 May 22. Eur Radiol. 2023. PMID: 37212845 Free PMC article.
Correction to: Non-contrast computed tomography features predict intraventricular hemorrhage growth.
Nawabi J, Schlunk F, Dell'Orco A, Elsayed S, Mazzacane F, Desser D, Vu L, Vogt E, Cao H, Böhmer MFH, Akkurt BH, Sporns PB, Pasi M, Jensen-Kondering U, Broocks G, Penzkofer T, Fiehler J, Padovani A, Hanning U, Morotti A. Nawabi J, et al. Among authors: penzkofer t. Eur Radiol. 2023 Dec;33(12):9483. doi: 10.1007/s00330-023-09896-3. Eur Radiol. 2023. PMID: 37466711 Free PMC article. No abstract available.
A machine learning tool to improve prediction of mediastinal lymph node metastases in non-small cell lung cancer using routinely obtainable [18F]FDG-PET/CT parameters.
Rogasch JMM, Michaels L, Baumgärtner GL, Frost N, Rückert JC, Neudecker J, Ochsenreither S, Gerhold M, Schmidt B, Schneider P, Amthauer H, Furth C, Penzkofer T. Rogasch JMM, et al. Among authors: penzkofer t. Eur J Nucl Med Mol Imaging. 2023 Jun;50(7):2140-2151. doi: 10.1007/s00259-023-06145-z. Epub 2023 Feb 23. Eur J Nucl Med Mol Imaging. 2023. PMID: 36820890 Free PMC article.
Reduction of false positives using zone-specific prostate-specific antigen density for prostate MRI-based biopsy decision strategies.
Hamm CA, Baumgärtner GL, Padhani AR, Froböse KP, Dräger F, Beetz NL, Savic LJ, Posch H, Lenk J, Schallenberg S, Maxeiner A, Cash H, Günzel K, Hamm B, Asbach P, Penzkofer T. Hamm CA, et al. Among authors: penzkofer t. Eur Radiol. 2024 Mar 28. doi: 10.1007/s00330-024-10700-z. Online ahead of print. Eur Radiol. 2024. PMID: 38538841
[The German Network of University Medicine: technical and organizational approaches for research data platforms].
Heyder R; NUM Coordination Office; NUKLEUS Study Group; NUM-RDP Coordination; RACOON Coordination; AKTIN Coordination; GenSurv Study Group. Heyder R, et al. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2023 Feb;66(2):114-125. doi: 10.1007/s00103-022-03649-1. Epub 2023 Jan 23. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2023. PMID: 36688978 Free PMC article. Review. German.
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: penzkofer t. Cancer Imaging. 2023 Jan 17;23(1):6. doi: 10.1186/s40644-023-00527-0. Cancer Imaging. 2023. PMID: 36647150 Free PMC article.
122 results