Toward widespread use of virtual trials in medical imaging innovation and regulatory science.

Autor: Abadi E; Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Departments of Radiology and Electrical & Computer Engineering, Medical Physics Graduate Program, Duke University, Durham, North Carolina, USA., Barufaldi B; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Lago M; Division of Imaging, Diagnostics and Software Reliability, OSEL, CDRH, U.S. Food and Drug Administration, Silver Spring, Maryland, USA., Badal A; Division of Imaging, Diagnostics and Software Reliability, OSEL, CDRH, U.S. Food and Drug Administration, Silver Spring, Maryland, USA., Mello-Thoms C; Department of Radiology, University of Iowa, Iowa City, Iowa, USA., Bottenus N; Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA., Wangerin KA; Research and Development, Pharmaceutical Diagnostics, GE HealthCare, Marlborough, Massachusetts, USA., Goldburgh M; NTT DATA Industry Solutions, Plano, Texas, USA., Tarbox L; Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA., Beaucage-Gauvreau E; Institute of Physics-based Modeling for in silico Health (iSi Health), KU Leuven, Leuven, Belgium., Frangi AF; Christabel Pankhurst Institute, Division of Informatics, Imaging and Data Sciences, Department of Computer Science, University of Manchester, Manchester, UK.; Alan Turing Institute, British Library, London, UK., Maidment A; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Kinahan PE; Departments of Radiology, Bioengineering, and Physics, University of Washington, Seattle, Washington, USA., Bosmans H; Departments of Radiology and Medical Radiation Physics, KU Leuven, Leuven, Belgium., Samei E; Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Departments of Radiology and Electrical & Computer Engineering, Medical Physics Graduate Program, Duke University, Durham, North Carolina, USA.

Publikováno v: Medical physics [Med Phys] 2024 Oct 06. Date of Electronic Publication: 2024 Oct 06.

The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review.

Autor: Ibragimov B, Mello-Thoms C

Publikováno v: IEEE journal of biomedical and health informatics [IEEE J Biomed Health Inform] 2024 Jun; Vol. 28 (6), pp. 3597-3612. Date of Electronic Publication: 2024 Jun 06.

Breast cancer in Mongolia: an increasingly important health policy issue

Autor: Demchig D, Mello-Thoms C, Brennan PC

Publikováno v: Breast Cancer: Targets and Therapy, Vol Volume 9, Pp 29-38 (2017)

Delgermaa Demchig, Claudia Mello-Thoms, Patrick C Brennan Medical Image Optimization and Perception Group (MIOPeG), Faculty of Health Science, The University of Sydney, Sydney, NSW, Australia Abstract: Breast cancer is a leading cause of cancer-relat

Externí odkaz: https://doaj.org/article/3e855cac17f64cfa8fd474428055c453

What effect does mammographic breast density have on lesion detection in digital mammography?

Autor: AL Mousa, D.S., Ryan, E.A., Mello-Thoms, C., Brennan, P.C.

Publikováno v: In Clinical Radiology April 2014 69(4):333-341

Special Section Editorial: Artificial Intelligence for Medical Imaging in Clinical Practice.

Autor: Mello-Thoms C; University of Iowa, Department of Radiology, Iowa City, Iowa, United States., Drukker K; University of Chicago, Department of Radiology, Chicago, Illinois, United States., Taylor-Phillips S; University of Warwick, Warwick Medical School, Department of Health Sciences, Coventry, United Kingdom., Iftekharuddin K; Old Dominion University, Department of Electrical & Computer Engineering, Norfolk, Virginia, United States., Gavrielides M; AstraZeneca Pharmaceuticals, Cambridge, United Kingdom.

Publikováno v: Journal of medical imaging (Bellingham, Wash.) [J Med Imaging (Bellingham)] 2023 Sep; Vol. 10 (5), pp. 051801. Date of Electronic Publication: 2023 Oct 31.