Ralph Highnam

Statistics New Zealand — New Zealand

Computer Science · Physical Sciences

27h-index2.5kcitations109works0.02yr avg
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Research Topics

AI in cancer detection(69), Digital Radiography and Breast Imaging(66), Global Cancer Incidence and Screening(23), Medical Imaging Techniques and Applications(21), Medical Image Segmentation Techniques(13)

Publications108 total

Associations of local breast density with patient characteristics and risk of breast cancer among women undergoing diagnostic breast biopsy
Breast Cancer Research·2026Open Access
Mammographic compression pressure as a predictor of interval cancer
2022· 4 cited
Mammographic image metadata learning for model pretraining and explainable predictions
2022· 1 cited
Mammographic Compression: A Need for Mechanical Standardisation
2022· 2 cited
Automated Assessment of Breast Positioning in Mammography Screening
2022· 2 cited
Mammographic image quality assessment by a contrast-to-noise ratio for clinical images
2020
Measurement challenge: protocol for international case–control comparison of mammographic measures that predict breast cancer risk
BMJ Open·2019· 24 citedOpen Access
Automated Segmentation of Breast Arterial Calcifications from Digital Mammography
2019· 9 cited
Deep Learning for Breast Region and Pectoral Muscle Segmentation in Digital Mammography
Lecture notes in computer science·2019· 10 cited
Development of an automated detection algorithm for patient motion blur in digital mammograms
2018· 2 citedOpen Access
Validation of noise estimation for a clinical contrast-to-noise ratio for digital mammographic imaging
Medical Imaging 2018: Physics of Medical Imaging·2018· 2 cited
Technical Note: Validation of two methods to determine contact area between breast and compression paddle in mammography
Medical Physics·2017· 12 citedOpen Access
Determination of adequate breast tissue visualization using an automated posterior nipple line measure
2017
Large variation in mammography compression internationally
2017· 3 cited
Using Volumetric Breast Density to Quantify the Potential Masking Risk of Mammographic Density
American Journal of Roentgenology·2016· 82 cited
Development of a phantom to test fully automated breast density software – A work in progress
Radiography·2016· 3 citedOpen Access
Oncological image analysis
Medical Image Analysis·2016· 15 cited
Impact of errors in recorded compressed breast thickness measurements on volumetric density classification using <scp>volpara</scp> v1.5.0 software
Medical Physics·2016· 9 citedOpen Access
A validation study of automated mammographic breast positioning metrics
2016
Optimizing VolparaDensity’s volumetric breast density thresholds to align with the American College of Radiology BI-RADS 5 th edition updates
2016
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Frequent Co-authors

Michael Brady(16), Ruth Warren(12), B. J. Shepstone(6), Mona Jeffreys(6), Ariane Chan(5), Yasuyo Kita(5), Jennifer A. Harvey(4), J. Michael Brady(4), Valerie McCormack(4), Vijay Rajagopal(4), Martyn P. Nash(4), Michael Brady(4), George Davey Smith(4), Iqbal Warsi(4), Christopher Tromans(4), Martin J. Yaffe(3), Isabel dos‐Santos‐Silva(3), Christian Behrenbruch(3), Ruth English(3), Jae Hoon Chung(3)