Accuracy of Magnetic Resonance Imaging for Local Staging of Prostate Cancer: A Diagnostic Meta-analysis von de Rooij, Maarten, Hamoen, Esther H.J, Witjes, J. Alfred, Barentsz, Jelle O, Rovers, Maroeska M

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Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment von van Leeuwen, Kicky G., Meijer, Frederick J. A., Schalekamp, Steven, Rutten, Matthieu J. C. M., van Dijk, Ewoud J., van Ginneken, Bram, Govers, Tim M., de Rooij, Maarten

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Artificial intelligence in radiology: 100 commercially available products and their scientific evidence von van Leeuwen, Kicky G., Schalekamp, Steven, Rutten, Matthieu J. C. M., van Ginneken, Bram, de Rooij, Maarten

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Deep learning–assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge von Hosseinzadeh, Matin, Saha, Anindo, Brand, Patrick, Slootweg, Ilse, de Rooij, Maarten, Huisman, Henkjan

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Molecular and functional imaging for detection of lymph node metastases in prostate cancer von Fortuin, Ansje, Rooij, Maarten de, Zamecnik, Patrik, Haberkorn, Uwe, Barentsz, Jelle

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ESUR/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: quality requirements for image acquisition, interpretation and r... von de Rooij, Maarten, Israël, Bas, Tummers, Marcia, Ahmed, Hashim U., Barrett, Tristan, Giganti, Francesco, Hamm, Bernd, Løgager, Vibeke, Padhani, Anwar, Panebianco, Valeria, Puech, Philippe, Richenberg, Jonathan, Rouvière, Olivier, Salomon, Georg, Schoots, Ivo, Veltman, Jeroen, Villeirs, Geert, Walz, Jochen, Barentsz, Jelle O.

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PI-QUAL v.1: the first step towards good-quality prostate MRI von de Rooij, Maarten, Barentsz, Jelle O.

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Accuracy of multiparametric MRI for prostate cancer detection: a meta-analysis von de Rooij, Maarten, Hamoen, Esther H J, Fütterer, Jurgen J, Barentsz, Jelle O, Rovers, Maroeska M

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Cost-Effectiveness Comparison of Imaging-Guided Prostate Biopsy Techniques: Systematic Transrectal Ultrasound, Direct In-Bore MRI, and Image Fusion von Venderink, Wulphert, Govers, Tim M, de Rooij, Maarten, Fütterer, Jurgen J, Sedelaar, J P Michiel

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Prostate Imaging-Reporting and Data System Version 2 and the Implementation of High-quality Prostate Magnetic Resonance Imaging von Barentsz, Jelle, de Rooij, Maarten, Villeirs, Geert, Weinreb, Jeffrey

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Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative Review von Twilt, Jasper J., van Leeuwen, Kicky G., Huisman, Henkjan J., Futterer, Jurgen J., de Rooij, Maarten

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Prostate-MRI reporting should be done with the aid of AI systems: Cons von de Rooij, Maarten

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Measuring health-related quality of life in men with prostate cancer: A systematic review of the most used questionnaires and their validity von Hamoen, Esther H.J., M.D, De Rooij, Maarten, M.D, Witjes, J. Alfred, M.D., Ph.D, Barentsz, Jelle O., M.D., Ph.D, Rovers, Maroeska M., Ph.D

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Prospective Study of Diagnostic Accuracy Comparing Prostate Cancer Detection by Transrectal Ultrasound–Guided Biopsy Versus Magnetic Resonance (MR) Imaging with Subsequent MR-guide... von Pokorny, Morgan R, de Rooij, Maarten, Duncan, Earl, Schröder, Fritz H, Parkinson, Robert, Barentsz, Jelle O, Thompson, Leslie C

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How does artificial intelligence in radiology improve efficiency and health outcomes? von van Leeuwen, Kicky G., de Rooij, Maarten, Schalekamp, Steven, van Ginneken, Bram, Rutten, Matthieu J. C. M.

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Use of the Prostate Imaging Reporting and Data System (PI-RADS) for Prostate Cancer Detection with Multiparametric Magnetic Resonance Imaging: A Diagnostic Meta-analysis von Hamoen, Esther H.J, de Rooij, Maarten, Witjes, J. Alfred, Barentsz, Jelle O, Rovers, Maroeska M

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Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon? von Bozgo, Vilma, Roest, Christian, van Oort, Inge, Yakar, Derya, Huisman, Henkjan, de Rooij, Maarten

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Quality checkpoints in the MRI-directed prostate cancer diagnostic pathway von Barrett, Tristan, de Rooij, Maarten, Giganti, Francesco, Allen, Clare, Barentsz, Jelle O., Padhani, Anwar R.

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Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT von Alves, Natália, Bosma, Joeran S., Venkadesh, Kiran V., Jacobs, Colin, Saghir, Zaigham, de Rooij, Maarten, Hermans, John, Huisman, Henkjan

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Cost-effectiveness of Magnetic Resonance (MR) Imaging and MR-guided Targeted Biopsy Versus Systematic Transrectal Ultrasound–Guided Biopsy in Diagnosing Prostate Cancer: A Modellin... von de Rooij, Maarten, Crienen, Simone, Witjes, J. Alfred, Barentsz, Jelle O, Rovers, Maroeska M, Grutters, Janneke P.C

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