Warren M. Reed

Orcid: 0000-0002-8937-2198

Affiliations:
  • University of Sydney, School of Health Sciences, NSW, Australia


According to our database1, Warren M. Reed authored at least 10 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries.
Proceedings of the Medical Imaging 2023: Image Perception, 2023

False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms.
Proceedings of the Medical Imaging 2023: Image Perception, 2023

2022
Varying performance levels for diagnosing mammographic images depending on reader nationality have AI and educational implications.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

Visual grading characteristic (VGC) analysis of uterine artery embolisation (UAE) image quality assessment by interventional radiologists and interventional radiographers.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

The reliability of radiologists' first impression interpreting a screening mammogram.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

2019
Comparing senior residents performance to radiologists in lung cancer detection.
Proceedings of the Medical Imaging 2019: Image Perception, 2019

2017
Does Expectation of Abnormality Affect the Search Pattern of Radiologists When Looking for Pulmonary Nodules?
J. Digit. Imaging, 2017

2016
Investigating the link between the radiological experience and the allocation of an 'equivocal finding'.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

Lower Recall Rates Reduced Readers' Sensitivity in Screening Mammography.
Proceedings of the Breast Imaging, 2016

2013
Breast Screen New South Wales Generally Demonstrates Good Radiologic Viewing Conditions.
J. Digit. Imaging, 2013


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