Lucas R. Borges
Orcid: 0000-0003-3863-7085
According to our database1,
Lucas R. Borges
authored at least 15 papers
between 2013 and 2023.
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Bibliography
2023
Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography.
Artif. Intell. Medicine, August, 2023
Assessing the impact of correlated noise in digital mammography: a virtual clinical trial.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
2022
Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain.
CoRR, 2022
2019
A 2-AFC study to validate artificially inserted microcalcification clusters in digital mammography.
Proceedings of the Medical Imaging 2019: Image Perception, 2019
2018
Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization.
IEEE Trans. Medical Imaging, 2018
Proceedings of the Medical Imaging 2018: Image Perception, 2018
Mammogram denoising to improve the calcification detection performance of convolutional nets.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
2017
IEEE Trans. Medical Imaging, 2017
A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
IEEE Signal Process. Lett., 2016
Validation of no-reference image quality index for the assessment of digital mammographic images.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
Proceedings of the Breast Imaging, 2016
The Effect of Breast Composition on a No-reference Anisotropic Quality Index for Digital Mammography.
Proceedings of the Breast Imaging, 2016
2015
Use of Wavelet Multiresolution Analysis to Reduce Radiation Dose in Digital Mammography.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015
2013
Mammographic Image Denoising and Enhancement Using the Anscombe Transformation, Adaptive Wiener Filtering, and the Modulation Transfer Function.
J. Digit. Imaging, 2013