Lucas R. Borges

Orcid: 0000-0003-3863-7085

According to our database1, Lucas R. Borges authored at least 15 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

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

Restored low-dose digital breast tomosynthesis: a perception study.
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
Method for Simulating Dose Reduction in Digital Breast Tomosynthesis.
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
Unbiased Injection of Signal-Dependent Noise in Variance-Stabilized Range.
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

Simulation of Dose Reduction in Digital Breast Tomosynthesis.
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


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