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Acta Radiologica (Stockholm, Sweden : 1987)|April 28, 2023
A new medical imaging postprocessing and interpretation concept to investigate the clinical relevance of incidentalomas: can we keep Pandora's box closed?Thomas C Kwee, Christian Roest, Ömer Kasalak, et al.
Abdominal Radiology (New York)|July 4, 2026
Artificial intelligence-enabled MRI surveillance of prostate cancer: integrating PRECISE v2, PI-QUAL, and longitudinal biomarkers-a narrative reviewMotohiro Fujiwara, Jina Pakpoor, Serdar Aslan, et al.
European Radiology|May 9, 2024
Assessing deep learning reconstruction for faster prostate MRI: visual vs. diagnostic performance metricsQuintin van Lohuizen, Christian Roest, Frank F J Simonis, et al.
Investigative Radiology|July 29, 2024
Multimodal AI Combining Clinical and Imaging Inputs Improves Prostate Cancer DetectionChristian Roest, Derya Yakar, Dorjan Ivan Rener Sitar, et al.
European Radiology|June 7, 2025
Simulating workload reduction with an AI-based prostate cancer detection pathway using a prediction uncertainty metricStefan J Fransen, Joeran S Bosma, Quintin van Lohuizen, et al.
European Journal of Radiology|April 19, 2024
Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequencesStefan J Fransen, Christian Roest, Quintin Y Van Lohuizen, et al.
European Radiology|April 14, 2022
A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomicsJeroen Bleker, Thomas C Kwee, Dennis Rouw, et al.
Asian Journal of Urology|December 30, 2025
Advancements in artificial intelligence for prostate cancer: Optimizing diagnosis, treatment, and prognostic assessmentYuki Arita, Christian Roest, Thomas C Kwee, et al.
Insights Into Imaging|January 3, 2025
Multiparametric MRI and artificial intelligence in predicting and monitoring treatment response in bladder cancerYuki Arita, Thomas C Kwee, Oguz Akin, et al.
Radiology. Imaging Cancer|January 10, 2025
Development and Validation of a Deep Learning Model Based on MRI and Clinical Characteristics to Predict Risk of Prostate Cancer ProgressionChristian Roest, Thomas C Kwee, Igle J de Jong, et al.
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