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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

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

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 20: Cancer  

Session Name:Tumor Characterization & Staging  

Program Number:2836  

Room Session:Exhibition Hall:S8 & S9  

Institution:German Cancer Research Center  University Hospital Heidelberg  University of Heidelberg Medical Center  

Multi-parametric versus bi-parametric prostate MRI for deep learning: Marginal benefits from adding dynamic contrast-enhanced images

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

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1515  

Room Session:Exhibition Hall:S8 & S9  

Institution:German Cancer Research Center  University of Heidelberg Medical Center  Heidelberg University Medical School  

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

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

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:Machine Learning/Artificial Intelligence: Clinical Application II  

Program Number:1514  

Room Session:Exhibition Hall:S8 & S9  

Institution:German Cancer Research Center  University of Heidelberg Medical Center  Heidelberg University Medical School