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Academic Journal

Approaches and Limitations of Machine Learning for Synthetic Ultrasound Generation: A Scoping Review.

  • Authors : Mendez M; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.; Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.

Subjects: Machine Learning* ; Radiology*; Humans

  • Source: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine [J Ultrasound Med] 2023 Dec; Vol. 42 (12), pp. 2695-2706. Date of Electronic Publisher: John Wiley and Sons Country of Publication: England NLM ID: 8211547 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Current state of radiomics in pediatric neuro-oncology practice: a systematic review.

  • Authors : Albalkhi I; College of Medicine Research Lab, Alfaisal University, Riyadh, KSA, Saudi Arabia. .; Department of Neuroradiology, Great Ormond Street Hospital NHS Foundation Trust, Great Ormond St, London, WC1N 3JH, UK. .

Subjects: Machine Learning* ; Radiology*; Adult

  • Source: Pediatric radiology [Pediatr Radiol] 2023 Sep; Vol. 53 (10), pp. 2079-2091. Date of Electronic Publication: 2023 May 17.Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 0365332 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges.

  • Authors : Weikert T; Department of Radiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031, Basel, Switzerland. .; Francone M

Subjects: Machine Learning* ; Radiology*; Algorithms

  • Source: European radiology [Eur Radiol] 2021 Jun; Vol. 31 (6), pp. 3909-3922. Date of Electronic Publication: 2020 Nov 19.Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Editorial & Opinion

Machine learning solutions in radiology: does the emperor have no clothes?

  • Authors : Cuocolo R; Department of Clinical Medicine and Surgery, University of Naples 'Federico II', via Pansini 5, 80131, Naples, Italy. .; Augmented Reality for Health Monitoring Laboratory (ARHeMLab), Department of Electrical Engineering and Information Technology, University of Naples 'Federico II', Naples, Italy. .

Subjects: Machine Learning* ; Radiology*; Humans

  • Source: European radiology [Eur Radiol] 2021 Jun; Vol. 31 (6), pp. 3783-3785. Date of Electronic Publication: 2021 Apr 15.Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Upstream Machine Learning in Radiology.

  • Authors : Sandino CM; Department of Electrical Engineering, Stanford University, 350 Serra Mall, Stanford, CA 94305, USA.; Cole EK

Subjects: Machine Learning*; Diagnostic Imaging/Diagnostic Imaging/Diagnostic Imaging/*methods ; Image Interpretation, Computer-Assisted/Image Interpretation, Computer-Assisted/Image Interpretation, Computer-Assisted/*methods

  • Source: Radiologic clinics of North America [Radiol Clin North Am] 2021 Nov; Vol. 59 (6), pp. 967-985.Publisher: Saunders Country of Publication: United States NLM ID: 0123703 Publication Model: Print Cited Medium: Internet ISSN: 1557-8275

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Academic Journal

Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies.

  • Authors : Moskowitz CS; From the Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 485 Lexington Ave, 2nd Floor, New York, NY, NY 10017 (C.S.M.); Cancer Digital Intelligence Program, University Health Network, Toronto, ON, Canada (M.L.W.)

Subjects: Machine Learning* ; Radiology*; Bias

  • Source: Radiology [Radiology] 2022 Aug; Vol. 304 (2), pp. 265-273. Date of Electronic Publication: 2022 May 17.Publisher: Radiological Society of North America Country of Publication: United States NLM ID: 0401260 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

A primer for understanding radiology articles about machine learning and deep learning.

  • Authors : Nakaura T; Department of Diagnostic Radiology, Graduate school of medical sciences, Japan Kumamoto university, 1-1-1 Honjo, Chuo-ku, 860-8556 Kumamoto City, Japan. Electronic address: .; Higaki T

Subjects: Deep Learning* ; Machine Learning* ; Radiology*

  • Source: Diagnostic and interventional imaging [Diagn Interv Imaging] 2020 Dec; Vol. 101 (12), pp. 765-770. Date of Electronic Publication: 2020 Oct 26.Publisher: Elsevier Masson Country of Publication: France NLM ID: 101568499 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Machine Learning Principles for Radiology Investigators.

  • Authors : Borstelmann SM; University of Central Florida School of Medicine, UCF College of Medicine, 6850 Lake Nona Blvd, Orlando, FL 32827. Electronic address: .

Subjects: Artificial Intelligence* ; Machine Learning* ; Radiology*

  • Source: Academic radiology [Acad Radiol] 2020 Jan; Vol. 27 (1), pp. 13-25.Publisher: Association Of University Radiologists Country of Publication: United States NLM ID: 9440159 Publication Model: Print Cited Medium: Internet

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Academic Journal

Machine Learning for Automation of Radiology Protocols for Quality and Efficiency Improvement.

  • Authors : Kalra A; Department of Computer Science, University of Toronto, Toronto, Ontario, Canada. Electronic address: .; Chakraborty A

Subjects: Automation* ; Machine Learning* ; Radiology*

  • Source: Journal of the American College of Radiology : JACR [J Am Coll Radiol] 2020 Sep; Vol. 17 (9), pp. 1149-1158. Date of Electronic Publication: 2020 AprPublisher: Elsevier Country of Publication: United States NLM ID: 101190326 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

[Machine learning in radiology : Terminology from individual timepoint to trajectory].

  • Authors : Langs G; Universitätsklinik für Radiologie und Nuklearmedizin, Computational Imaging Research Lab, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich. .; Attenberger U

Subjects: Machine Learning* ; Radiology*; Algorithms

  • Source: Der Radiologe [Radiologe] 2020 Jan; Vol. 60 (1), pp. 6-14.Publisher: Springer Verlag Country of Publication: Germany NLM ID: 0401257 Publication Model: Print Cited Medium: Internet ISSN: 1432-2102

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  • 1-10 of  19,229 results for ""Radiology""