Dr. Melissa L. Hill Profile

Dr. Melissa L. Hill

Imaging Scientist at Volpara Health Technologies Ltd

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Author

Publications (13)

Proceedings Article | 29 May 2024 Paper

Deep learning-based mammographic breast compression pressure estimates on processed images vs an unprocessed image reference

Robyn F. Letts, Kaier Wang, Melissa Hill

Proceedings Volume 13174, 131740H (2024) https://doi.org/10.1117/12.3027039

KEYWORDS: Artificial intelligence, Breast, Digital breast tomosynthesis, Image processing, Image segmentation, Mammography, Image analysis

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Proceedings Article | 29 May 2024 Paper

Evaluating the efficacy of automated breast arterial calcification quantification models in detecting BAC from mammograms with non-BAC calcifications

Kaier Wang, Aristarkh Tikhonov, Lester Litchfield, Melissa Hill

Proceedings Volume 13174, 131741U (2024) https://doi.org/10.1117/12.3023832

KEYWORDS: Breast, Mammography, Breast density, Performance modeling, X-rays, Cardiovascular disorders, Artificial intelligence, Image segmentation

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Proceedings Article | 13 July 2022 Paper

Mammographic image metadata learning for model pretraining and explainable predictions

Lester Litchfield, Melissa Hill, Nabeel Khan, Ralph Highnam

Proceedings Volume 12286, 1228616 (2022) https://doi.org/10.1117/12.2626199

KEYWORDS: Data modeling, X-rays, Mammography, Breast, X-ray imaging, Digital breast tomosynthesis, Neural networks, Breast cancer, Medical imaging

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Proceedings Article | 13 July 2022 Paper

Mammographic compression pressure as a predictor of interval cancer

Melissa Hill, Linda Martis, Mark Halling-Brown, Ralph Highnam, Ariane Chan

Proceedings Volume 12286, 1228612 (2022) https://doi.org/10.1117/12.2625460

KEYWORDS: Breast, Image quality, Cancer, Mammography, Data modeling, Breast cancer, Statistical analysis, Image analysis, Radiography

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Proceedings Article | 4 April 2022 Presentation + Paper

Validation of a breast density quantization software with 3D printed breast phantoms

N. Solís, C. Fedon, M. Hill, I. Sechopoulos

Proceedings Volume 12031, 120310W (2022) https://doi.org/10.1117/12.2611534

KEYWORDS: Breast, Mammography, Tissues, Signal attenuation, X-rays, Quantization, 3D modeling, Rhodium

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Proceedings Article | 22 May 2020 Paper

Mammographic image quality assessment by a contrast-to-noise ratio for clinical images

Melissa Hill, Alistair Mackenzie, Lucy Warren, Nabeel Khan, Kaier Wang, Ralph Highnam

Proceedings Volume 11513, 115130I (2020) https://doi.org/10.1117/12.2564355

KEYWORDS: Breast, Image quality, Mammography, Tissues, Image analysis, Gold, Spatial frequencies

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Proceedings Article | 6 July 2018 Paper

Development of an automated detection algorithm for patient motion blur in digital mammograms

Melissa Hill, Patsy Whelehan, Sarah Vinnicombe, Christopher Tromans, Andrew Evans, Violet Warwick, J. Michael Brady, Ralph Highnam

Proceedings Volume 10718, 107180K (2018) https://doi.org/10.1117/12.2318225

KEYWORDS: Mammography, Algorithm development, Breast, Tissues, Image processing, Spatial frequencies, Image quality, Detection and tracking algorithms, Visualization, Image visualization, Digital x-ray imaging

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Proceedings Article | 9 March 2018 Paper

Validation of noise estimation for a clinical contrast-to-noise ratio for digital mammographic imaging

Melissa Hill, Alistair Mackenzie, Nabeel Khan, Kaier Wang, Ralph Highnam

Proceedings Volume 10573, 105735D (2018) https://doi.org/10.1117/12.2293866

KEYWORDS: Breast imaging, Digital mammography, Digital x-ray imaging, Digital breast tomosynthesis, Image analysis, Image quality, Mammography, Spatial frequencies

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Proceedings Article | 23 March 2016 Paper

Non-uniform object counting method in large-format pyramid images applied to CD31 vessel counting in whole-mount digital pathology sections

Mayan Murray, Melissa Hill, Kela Liu, James Mainprize, Martin Yaffe

Proceedings Volume 9791, 97910D (2016) https://doi.org/10.1117/12.2216817

KEYWORDS: Image processing, Pathology, Image segmentation, Quantitative analysis, Image analysis, Feature extraction, Digital image processing, Large dataset visualization, Quantitative biology, Tumors, RGB color model, Optical filters, Digital imaging, Image resolution, Binary data

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Proceedings Article | 9 March 2012 Paper

Impact of image acquisition timing on image quality for dual energy contrast-enhanced breast tomosynthesis

Melissa Hill, James Mainprize, Sylvie Puong, Ann-Katherine Carton, Razvan Iordache, Serge Muller, Martin Yaffe

Proceedings Volume 8313, 831308 (2012) https://doi.org/10.1117/12.911627

KEYWORDS: Iodine, Reconstruction algorithms, Image quality, Breast, Image acquisition, X-rays, X-ray imaging, Mammography, Digital breast tomosynthesis, Image enhancement

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Proceedings Article | 17 March 2011 Paper

Design and validation of a mathematical breast phantom for contrast-enhanced digital mammography

Melissa Hill, James Mainprize, Roberta Jong, Martin Yaffe

Proceedings Volume 7961, 79615E (2011) https://doi.org/10.1117/12.877732

KEYWORDS: Breast, Tissues, Iodine, Digital mammography, Spatial frequencies, Mammography, Blood, Mathematical modeling, Imaging systems, Image processing

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Proceedings Article | 28 February 2009 Paper

Development of a targeted CT contrast agent: assessment of cellular interactions using novel integrated optical labels

Naomi Matsuura, Melissa Hill, Ivan Gorelikov, Siqi Zhu, Kelvin Wan, James Mainprize, Martin Yaffe, J. Rowlands

Proceedings Volume 7262, 72622A (2009) https://doi.org/10.1117/12.812048

KEYWORDS: In vivo imaging, X-ray computed tomography, Computed tomography, Luminescence, In vitro testing, Nanoparticles, Integrated optics, Toxicity, Tissues, Flow cytometry

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Proceedings Article | 17 March 2007 Paper

Quantitative flow phantom for contrast-enhanced breast tomosynthesis

Melissa Nock, Michael Kempston, James Mainprize, Martin Yaffe

Proceedings Volume 6510, 65102W (2007) https://doi.org/10.1117/12.708549

KEYWORDS: Iodine, Breast, Tissues, Signal attenuation, Calibration, X-rays, Rhodium, Imaging systems, Sensors, X-ray imaging

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Showing 5 of 13 publications

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