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Tristan D. Maidment
at Real-Time Tomography LLC
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Publications (5)
Proceedings Article | 13 July 2022 Paper
Automated multi-class segmentation of digital mammograms with deep convolutional neural networks
Vincent Dong, Tristan Maidment, Lucas Borges, Katherine Hopkins, Johnny Kuo, Albert Milani, Peter Ringer, Susan Ng
Proceedings Volume 12286, 122860M (2022) https://doi.org/10.1117/12.2626624
KEYWORDS: Image segmentation, Nipple, Breast, Image processing, Mammography, Breast cancer, Visualization, Convolutional neural networks
Proceedings Article | 4 April 2022 Poster + Presentation + Paper
Assessment of patch-based mammogram denoising methods using virtual clinical trials and deep learning: trade-off between denoising strength and preservation of structural details
Vincent Dong, Tristan Maidment, Lucas Borges, Bruno Barufaldi, Susan Ng, Andrew Maidment
Proceedings Volume 12031, 120311W (2022) https://doi.org/10.1117/12.2612900
KEYWORDS: Denoising, Mammography, Clinical trials, Breast, Spatial frequencies, Image quality
Proceedings Article | 22 May 2020 Paper
Machine learning classifier of medical specimen images
Proceedings Volume 11513, 115130R (2020) https://doi.org/10.1117/12.2564492
KEYWORDS: Image processing, Convolutional neural networks, Medical imaging, Tissues, Image classification, Machine learning, X-ray imaging, Sensors, Mammography, Radiography
Proceedings Article | 9 March 2017 Paper
Comparing the imaging performance of computed super resolution and magnification tomosynthesis
Tristan Maidment, Trevor Vent, William Ferris, David Wurtele, Raymond Acciavatti, Andrew D. Maidment
Proceedings Volume 10132, 1013222 (2017) https://doi.org/10.1117/12.2255564
KEYWORDS: Stars, Reconstruction algorithms, Tomography, Super resolution, Mammography, Spatial resolution, Breast, Image resolution, Imaging systems, Digital breast tomosynthesis
Proceedings Article | 9 March 2017 Paper
Geometric calibration for a next-generation digital breast tomosynthesis system
William Ferris, Trevor Vent, Tristan Maidment, Raymond Acciavatti, David Wurtele, Andrew D. Maidment
Proceedings Volume 10132, 101324C (2017) https://doi.org/10.1117/12.2255301
KEYWORDS: Calibration, Digital breast tomosynthesis, Super resolution, Image restoration, Image processing, Sensors, Bandpass filters, MATLAB, Tomography, Computed tomography, Reconstruction algorithms, Breast, X-rays, Image registration, Stars
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