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Stefan J Fransen

Showing results (1-10 of 13) with videos related to

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Journal of Magnetic Resonance Imaging : JMRI|December 19, 2024
Editorial for "Assessing the Performance of Artificial Intelligence Assistance for Prostate MRI: A Two-Center Study Involving Radiologists With Different Experience Levels"Stefan J Fransen
Life (Basel, Switzerland)|October 27, 2022
Comparative Performance of Deep Learning and Radiologists for the Diagnosis and Localization of Clinically Significant Prostate Cancer at MRI: A Systematic ReviewChristian Roest, Stefan J Fransen, Thomas C Kwee, et al.
Clinical Imaging|June 8, 2024
What makes a good scientific presentation on artificial intelligence in medical imaging?Stefan J Fransen, Quintin van Lohuizen, Christian Roest, et al.
European Radiology|February 19, 2025
The scientific evidence of commercial AI products for MRI acceleration: a systematic reviewStefan J Fransen, Christian Roest, Frank F J Simonis, et al.
Journal of Magnetic Resonance Imaging : JMRI|November 20, 2023
Recent Developments in Speeding up Prostate MRINida Mir, Stefan J Fransen, Jelmer M Wolterink, 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.
Magma (New York, N.Y.)|May 26, 2026
Aleatoric uncertainty in accelerated prostate MRI reconstruction: echo-train dropout versus Gaussian noise Monte Carlo samplingQuintin van Lohuizen, Stefan J Fransen, Henkjan Huisman, 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|August 14, 2024
Patient perspectives on the use of artificial intelligence in prostate cancer diagnosis on MRIStefan J Fransen, T C Kwee, D Rouw, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Journal of Magnetic Resonance Imaging : JMRI|December 19, 2024
Editorial for "Assessing the Performance of Artificial Intelligence Assistance for Prostate MRI: A Two-Center Study Involving Radiologists With Different Experience Levels"Stefan J Fransen
Life (Basel, Switzerland)|October 27, 2022
Comparative Performance of Deep Learning and Radiologists for the Diagnosis and Localization of Clinically Significant Prostate Cancer at MRI: A Systematic ReviewChristian Roest, Stefan J Fransen, Thomas C Kwee, et al.
Clinical Imaging|June 8, 2024
What makes a good scientific presentation on artificial intelligence in medical imaging?Stefan J Fransen, Quintin van Lohuizen, Christian Roest, et al.
European Radiology|February 19, 2025
The scientific evidence of commercial AI products for MRI acceleration: a systematic reviewStefan J Fransen, Christian Roest, Frank F J Simonis, et al.
Journal of Magnetic Resonance Imaging : JMRI|November 20, 2023
Recent Developments in Speeding up Prostate MRINida Mir, Stefan J Fransen, Jelmer M Wolterink, 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.
Magma (New York, N.Y.)|May 26, 2026
Aleatoric uncertainty in accelerated prostate MRI reconstruction: echo-train dropout versus Gaussian noise Monte Carlo samplingQuintin van Lohuizen, Stefan J Fransen, Henkjan Huisman, 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|August 14, 2024
Patient perspectives on the use of artificial intelligence in prostate cancer diagnosis on MRIStefan J Fransen, T C Kwee, D Rouw, et al.
Pageof 2