Hannes Engel

Freiburg, BW, Germany

Last Updated: 09/26/2026

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Found 19 publications

PI-RADS Version 2.1 for Prostate MRI Interpretation: Associations of Study Quality and Cancer Detection Metrics-A Systematic Review and Meta-Analysis.

PI-RADS Version 2.1 for Prostate MRI Interpretation: Associations of Study Quality and Cancer Detection Metrics-A Systematic Review and Meta-Analysis.

Journal: AJR. American journal of roentgenology

Published: October 15, 2025

Feasibility of deep learning-accelerated ultrafast T1-weighted VIBE Dixon imaging of the pelvis for screening of metastases in prostate MRI.

Feasibility of deep learning-accelerated ultrafast T1-weighted VIBE Dixon imaging of the pelvis for screening of metastases in prostate MRI.

Journal: European radiology experimental

Published: October 05, 2025

Artificial Intelligence-Accelerated vs. Conventional Diffusion-Weighted Imaging for Prostate MRI: Comparing Quality and Quantitative Metrics.

Artificial Intelligence-Accelerated vs. Conventional Diffusion-Weighted Imaging for Prostate MRI: Comparing Quality and Quantitative Metrics.

Journal: Academic radiology

Published: September 24, 2025

Multi-Center Benchmarking of a Commercially Available Artificial Intelligence Algorithm for Prostate Imaging Reporting and Data System (PI-RADS) Score Assignment and Lesion Detection in Prostate MRI.

Multi-Center Benchmarking of a Commercially Available Artificial Intelligence Algorithm for Prostate Imaging Reporting and Data System (PI-RADS) Score Assignment and Lesion Detection in Prostate MRI.

Journal: Cancers

Published: January 19, 2025

Safety and quality of life of PSMA-PET- and MRI-based focal dose escalated radiotherapy for intermediate- and high-risk prostate cancer: Primary endpoint analysis of the bi-centric phase II HypoFocal trial (ARO2020-01).

Safety and quality of life of PSMA-PET- and MRI-based focal dose escalated radiotherapy for intermediate- and high-risk prostate cancer: Primary endpoint analysis of the bi-centric phase II HypoFocal trial (ARO2020-01).

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology

Published: December 10, 2024

Diagnostic performance of a fully automated AI algorithm for lesion detection and PI-RADS classification in patients with suspected prostate cancer.

Diagnostic performance of a fully automated AI algorithm for lesion detection and PI-RADS classification in patients with suspected prostate cancer.

Journal: La Radiologia medica

Published: October 14, 2024

Erratum for: Update on PI-RADS Version 2.1 Diagnostic Performance Benchmarks for Prostate MRI: Systematic Review and Meta-Analysis.

Erratum for: Update on PI-RADS Version 2.1 Diagnostic Performance Benchmarks for Prostate MRI: Systematic Review and Meta-Analysis.

Journal: Radiology

Published: September 24, 2024

Update on PI-RADS Version 2.1 Diagnostic Performance Benchmarks for Prostate MRI: Systematic Review and Meta-Analysis.

Update on PI-RADS Version 2.1 Diagnostic Performance Benchmarks for Prostate MRI: Systematic Review and Meta-Analysis.

Journal: Radiology

Published: August 13, 2024

Performance of an ultra-fast deep-learning accelerated MRI screening protocol for prostate cancer compared to a standard multiparametric protocol.

Performance of an ultra-fast deep-learning accelerated MRI screening protocol for prostate cancer compared to a standard multiparametric protocol.

Journal: European radiology

Published: December 06, 2023

A Machine Learning Framework Reduces the Manual Workload for Systematic Reviews of the Diagnostic Performance of Prostate Magnetic Resonance Imaging.

A Machine Learning Framework Reduces the Manual Workload for Systematic Reviews of the Diagnostic Performance of Prostate Magnetic Resonance Imaging.

Journal: European urology open science

Published: July 28, 2023

Prediction of upgrade to clinically significant prostate cancer in patients under active surveillance: Performance of a fully automated AI-algorithm for lesion detection and classification.

Prediction of upgrade to clinically significant prostate cancer in patients under active surveillance: Performance of a fully automated AI-algorithm for lesion detection and classification.

Journal: The Prostate

Published: October 25, 2022

Quantitative Analysis of Diffusion Weighted Imaging May Improve Risk Stratification of Prostatic Transition Zone Lesions.

Quantitative Analysis of Diffusion Weighted Imaging May Improve Risk Stratification of Prostatic Transition Zone Lesions.

Journal: In vivo (Athens, Greece)

Published: July 12, 2022

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Last Updated: 09/26/2026