Nils Netzer - Radiologie, DKFZ | 人才画像

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论文共 14 篇作者统计合作学者相似作者

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Prostate Cancer Risk Assessment and Avoidance of Prostate Biopsies Using Fully Automatic Deep Learning in Prostate MRI: Comparison to PI-RADS and Integration with Clinical Data in Nomograms

Adrian Schrader,Nils Netzer,Thomas Hielscher,Magdalena Görtz,Kevin Sun Zhang,Viktoria Schütz,Albrecht Stenzinger,Markus Hohenfellner,Heinz-Peter Schlemmer,David Bonekamp

European Radiology（2024）

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Enhancing the Diagnostic Capacity of [18F]PSMA-1007 PET/MRI in Primary Prostate Cancer Staging with Artificial Intelligence and Semi-Quantitative DCE: an Exploratory Study

Philip Alexander Glemser, Martin Freitag,Balint Kovacs,Nils Netzer,Antonia Dimitrakopoulou-Strauss,Uwe Haberkorn,Klaus Maier-Hein,Constantin Schwab,Stefan Duensing,Bettina Beuthien-Baumann,Heinz-Peter Schlemmer,David Bonekamp,Frederik Giesel,Christos Sachpekidis

EJNMMI REPORTSno. 1 (2024)

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Editorial for "weakly Supervised MRI Slice-Level Deep Learning Classification of Prostate Cancer Approximates Full Voxel- and Slice-Level Annotation: Effect of Increasing Training Set Size"

Cedric Weisser,Nils Netzer,Magdalena Goertz,Viktoria Schuetz,Thomas Hielscher,Constantin Schwab,Markus Hohenfellner,Heinz-Peter Schlemmer,Klaus H. Maier-Hein,David Bonekamp

JOURNAL OF MAGNETIC RESONANCE IMAGINGno. 4 (2024): 1409-1422

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Multi-parametric Versus Bi-Parametric Prostate MRI for Deep Learning: Marginal Benefits from Adding Dynamic Contrast-Enhanced Images

Nils Netzer,Adrian Schrader,Magdalena Görtz,Constantin Schwab, Markus Hohenfellner,Heinz-Peter Schlemmer, David Bonekamp

ISMRM Annual Meeting Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting

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Addressing Image Misalignments in Multi-Parametric Prostate MRI for Enhanced Computer-Aided Diagnosis of Prostate Cancer

Balint Kovacs,Nils Netzer,Michael Baumgartner,Adrian Schrader,Fabian Isensee,Cedric Weißer,Ivo Wolf,Magdalena Görtz,Paul F. Jaeger,Victoria Schütz,Ralf Floca,Regula Gnirs,Albrecht Stenzinger,Markus Hohenfellner,Heinz-Peter Schlemmer,David Bonekamp,Klaus H. Maier-Hein

Scientific Reportsno. 1 (2023)

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Application of a Validated Prostate MRI Deep Learning System to Independent Same-Vendor Multi-Institutional Data: Demonstration of Transferability

Nils Netzer,Carolin Eith, Oliver Bethge,Thomas Hielscher,Constantin Schwab,Albrecht Stenzinger,Regula Gnirs,Heinz-Peter Schlemmer,Klaus H. Maier-Hein,Lars Schimmöller,David Bonekamp

EUROPEAN RADIOLOGYno. 11 (2023): 7463-7476

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Prostate Cancer Risk Assessment Using Fully Automatic Deep Learning in MRI: Integration with Clinical Data Using Logistic Regression Models

Adrian Schrader,Nils Netzer,Magdalena Görtz,Constantin Schwab, Markus Hohenfellner,Heinz-Peter Schlemmer, David Bonekamp

ISMRM Annual Meeting Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting

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A Follow-up Study on Prospective Para-Clinical Use by Residents of a Re-calibrating Automated Deep Learning System for Prostate Cancer Detection

Kevin Zhang,Adrian Schrader,Nils Netzer,Magdalena Görtz,Viktoria Schütz,Constantin Schwab, Markus Hohenfellner,Heinz-Peter Schlemmer, David Bonekamp

ISMRM Annual Meeting Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting

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