Multimodal AI Combining Clinical and Imaging Inputs Improves Prostate Cancer Detection.

Autor: Roest C; From the Department of Radiology, Medical Imaging Center, University Medical Center Groningen, Groningen, the Netherlands (C.R., D.Y., D.I.R.S., S.J.F., T.C.K.); Department of Radiology, Netherlands Cancer Center Antoni van Leeuwenhoek, Amsterdam, the Netherlands (D.Y.); Department of Radiology, Radboud University Medical Center, Nijmegen, the Netherlands (J.S.B., H.H.); and Department of Radiology, Martini Ziekenhuis Groningen, Groningen, the Netherlands (D.B.R.)., Yakar D, Rener Sitar DI, Bosma JS, Rouw DB, Fransen SJ, Huisman H, Kwee TC

Publikováno v: Investigative radiology [Invest Radiol] 2024 Dec 01; Vol. 59 (12), pp. 854-860. Date of Electronic Publication: 2024 Jul 29.

Recent Developments in Speeding up Prostate MRI.

Autor: Mir N; Magnetic Detection and Imaging, Technical Medical Centre, University of Twente, Enschede, Netherlands., Fransen SJ; Department of Radiology, University Medical Center Groningen, Groningen, Netherlands., Wolterink JM; Department of Applied Mathematics, Technical Medical Centre, University of Twente, Enschede, Netherlands., Fütterer JJ; Robotics and Mechatronics, Technical Medical Centre, University of Twente, Enschede, Netherlands.; Minimally Invasive Image-Guided Interventions Center, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands., Simonis FFJ; Magnetic Detection and Imaging, Technical Medical Centre, University of Twente, Enschede, Netherlands.

Publikováno v: Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2024 Sep; Vol. 60 (3), pp. 813-826. Date of Electronic Publication: 2023 Nov 19.

What makes a good scientific presentation on artificial intelligence in medical imaging?

Autor: Fransen SJ; University Medical Center Groningen, Radiology Department, Groningen 9713 GZ, Hanzeplein 1, the Netherlands. Electronic address: s.j.fransen@umcg.nl., van Lohuizen Q; University Medical Center Groningen, Radiology Department, Groningen 9713 GZ, Hanzeplein 1, the Netherlands., Roest C; University Medical Center Groningen, Radiology Department, Groningen 9713 GZ, Hanzeplein 1, the Netherlands., Yakar D; University Medical Center Groningen, Radiology Department, Groningen 9713 GZ, Hanzeplein 1, the Netherlands., Kwee TC; University Medical Center Groningen, Radiology Department, Groningen 9713 GZ, Hanzeplein 1, the Netherlands.

Publikováno v: Clinical imaging [Clin Imaging] 2024 Aug; Vol. 112, pp. 110212. Date of Electronic Publication: 2024 Jun 01.

K2S Challenge: From Undersampled K-Space to Automatic Segmentation.

Autor: Tolpadi AA; Department of Bioengineering, University of California, Berkeley, CA 94720, USA.; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA., Bharadwaj U; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA., Gao KT; Department of Bioengineering, University of California, Berkeley, CA 94720, USA.; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA., Bhattacharjee R; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA., Gassert FG; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA.; Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, 81675 Munich, Germany., Luitjens J; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA.; Department of Radiology, Klinikum Großhadern, Ludwig-Maximilians-Universität, 81377 Munich, Germany., Giesler P; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA., Morshuis JN; Cluster of Excellence Machine Learning, University of Tübingen, 72076 Tübingen, Germany., Fischer P; Cluster of Excellence Machine Learning, University of Tübingen, 72076 Tübingen, Germany., Hein M; Cluster of Excellence Machine Learning, University of Tübingen, 72076 Tübingen, Germany., Baumgartner CF; Cluster of Excellence Machine Learning, University of Tübingen, 72076 Tübingen, Germany., Razumov A; Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia., Dylov D; Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia., Lohuizen QV; Department of Radiology, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands., Fransen SJ; Department of Radiology, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands., Zhang X; Center for Advanced Imaging Innovation and Research, New York University Grossman School of Medicine, New York, NY 10016, USA., Tibrewala R; Center for Advanced Imaging Innovation and Research, New York University Grossman School of Medicine, New York, NY 10016, USA., de Moura HL; Center for Advanced Imaging Innovation and Research, New York University Grossman School of Medicine, New York, NY 10016, USA., Liu K; Center for Advanced Imaging Innovation and Research, New York University Grossman School of Medicine, New York, NY 10016, USA., Zibetti MVW; Center for Advanced Imaging Innovation and Research, New York University Grossman School of Medicine, New York, NY 10016, USA., Regatte R; Center for Advanced Imaging Innovation and Research, New York University Grossman School of Medicine, New York, NY 10016, USA., Majumdar S; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA., Pedoia V; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA.

Publikováno v: Bioengineering (Basel, Switzerland) [Bioengineering (Basel)] 2023 Feb 18; Vol. 10 (2). Date of Electronic Publication: 2023 Feb 18.