Publications

Our technical publications reflect a long and extensive track record of collaboration with leading academic institutions, research organizations and industry leaders worldwide. Our team, alongside world-renowned collaborators, includes top investigators in the fields of imaging physics, medical imaging, and artificial intelligence. Together, we have contributed to advancing the state of the art in image processing, reconstruction, quality and analysis as well as AI-based imaging solutions.

In the following publications, Real Time Tomography was either the lead author, a collaborator, a contributor or its imaging products were used to achieve the results presented.

Date	Institution	Reference
2022		Vincent Dong, Tristan D. Maidment, Lucas R. Borges, Bruno Barufaldi, Susan Ng, and Andrew D. A. Maidment, Assessment of patch-based mammogram denoising methods using virtual clinical trials and deep learning: trade-off between denoising strength and preservation of structural details, Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 120311W (4 April 2022)
2022		Vincent Dong, Tristan D. Maidment, Lucas R. Borges, Katherine Hopkins, Johnny Kuo, Albert Milani, Peter A. Ringer, and Susan Ng, Automated multi-class segmentation of digital mammograms with deep convolutional neural networks, Proc. SPIE 12286, 16th International Workshop on Breast Imaging (IWBI2022), 122860M (13 July 2022)
2022		Trevor L. Vent, Raymond J. Acciavatti, Chloe Choi, Bruno Barufaldi, Srilalan Krishnamoorthy, Lucas Borges, Johnny Kuo, Peter Ringer, Susan Ng, Suleman Surti, and Andrew D. A. Maidment "Pre-clinical evaluation and optimization of image quality for a next generation tomosynthesis prototype", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 1203142 (4 April 2022);
2022		Rodrigo de Barros Vimieiro, Lucas Rodrigues Borges, Bruno Barufaldi, Andrew D. A. Maidment, Ge Wang, and Marcelo Andrade da Costa Vieira, "Assessment of training strategies for convolutional neural network to restore low-dose digital breast tomosynthesis projections", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 120311V (4 April 2022);
2020		Tristan D. Maidment and Susan Ng "Machine learning classifier of medical specimen images", Proc. SPIE 11513, 15th International Workshop on Breast Imaging (IWBI2020), 115130R (22 May 2020).
2017		William S. Ferris, Trevor L. Vent, Tristan D. Maidment, Raymond J. Acciavatti, David E. Wurtele, and Andrew D. A. Maidment "Geometric calibration for a next-generation digital breast tomosynthesis system", Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101324C (9 March 2017).
2017		Tristan D. Maidment, Trevor L. Vent, William S. Ferris, David E. Wurtele, Raymond J. Acciavatti, and Andrew D. A. Maidment, Comparing the imaging performance of computed super resolution and magnification tomosynthesis, Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013222 (9 March 2017)
2017		Tristan D. Maidment, Trevor L. Vent, William S. Ferris, David E. Wurtele, Raymond J. Acciavatti, and Andrew D. A. Maidment "Comparing the imaging performance of computed super resolution and magnification tomosynthesis", Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013222 (9 March 2017).

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