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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.

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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
2024

Renann F. Brandão, Lucas E. Soares, Lucas R. Borges, Predrag R. Bakic, Anders Tingberg, and Marcelo A. C. Vieira "Evaluating an image restoration pipeline for digital mammography across varied radiation exposures and microcalcification sizes using model observer analysis", Proc. SPIE 13174, 17th International Workshop on Breast Imaging (IWBI 2024), 1317412 (29 May 2024).

2024

G. P. Zanelato, L. E. Soares, R. F. Brandão, R. B. Vimieiro, R. F. Caron, B. B. Oliveira, S. M. P. S. Sabino, L. R. Borges, M. A. C. Vieira "Customizable digital mammography database: on-demand generation with user-defined radiation dose and microcalcification cluster characteristics", Proc. SPIE 13174, 17th International Workshop on Breast Imaging (IWBI 2024), 131741C (29 May 2024).

2024

Renann F. Brandão, Lucas E. Soares, Lucas R. Borges, Predrag R. Bakic, Anders Tingberg, and Marcelo A. C. Vieira "Evaluating an image restoration pipeline for digital mammography across varied radiation exposures and microcalcification sizes using model observer analysis", Proc. SPIE 13174, 17th International Workshop on Breast Imaging (IWBI 2024), 1317412 (29 May 2024);

2023

Lucas E. Soares, Renann F. Brandao, Lucas R. Borges, Renato F. Caron, Bruno Barufaldi, Andrew D. A. Maidment, and Marcelo A. C. Vieira "Assessing the impact of correlated noise in digital mammography: a virtual clinical trial", Proc. SPIE 12467, Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment, 1246714 (3 April 2023);

2023

Barufaldi, B., Acciavatti, R.J., Conant, E.F. et al. Impact of super-resolution and image acquisition on the detection of calcifications in digital breast tomosynthesis. Eur Radiol 34, 193–203 (2024).

2023

Shan, H., Vimieiro, R. B., Borges, L. R., Vieira, M. A., & Wang, G. (2023). Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography. Artificial Intelligence in Medicine, 142, 102555.

2023

Barufaldi, B., Gomes, J., Rego, T. G. D., Malheiros, Y., Filho, T. M. S., Borges, L. R., ... & Maidment, A. D. (2023). Impact of Tomosynthesis Acquisition on 3D Segmentations of Breast Outline and Adipose/Dense Tissue with AI: A Simulation-Based Study. Tomography, 9(4), 1303-1314.

2023

Rodrigo B. Vimieiro, Lucas R. Borges, Bruno Barufaldi, Andrew D. A. Maidment, Renato F. Caron, Silvia M. P. S. Sabino, Ge Wang, and Marcelo A. C. Vieira; "Computational method to artificially insert clusters of  microcalcifications in digital breast tomosynthesis", Proc. SPIE 12463,  Medical Imaging 2023: Physics of Medical Imaging, 124632N (7 April  2023).

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