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Lucas R Borges

Showing results (1-10 of 11) with videos related to

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Artificial Intelligence in Medicine|June 14, 2023
Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammographyHongming Shan, Rodrigo B Vimieiro, Lucas R Borges, et al.
Medical Physics|August 16, 2025
Predicting the quality of digital mammography from the perspective of detectability of microcalcifications: A Radiomics approachLucas E Soares, Lucas R Borges, Renato F Caron, et al.
Journal of Digital Imaging|July 19, 2012
Mammographic image denoising and enhancement using the Anscombe transformation, adaptive wiener filtering, and the modulation transfer functionLarissa C S Romualdo, Marcelo A C Vieira, Homero Schiabel, et al.
IEEE Transactions on Medical Imaging|June 23, 2017
Method for Simulating Dose Reduction in Digital Breast TomosynthesisLucas R Borges, Igor Guerrero, Predrag R Bakic, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Improving the Automated Detection of Calcifications Using Adaptive Variance StabilizationAlessandro Bria, Claudio Marrocco, Lucas R Borges, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 20, 2025
Exploring the impact of image restoration in simulating higher dose mammography: effects on the detectability of microcalcifications across different sizes using model observer analysisRenann F Brandão, Lucas E Soares, Lucas R Borges, et al.
Physics in Medicine and Biology|November 24, 2020
Noise modeling and variance stabilization of a computed radiography (CR) mammography system subject to fixed-pattern noiseLucas R Borges, Marco A C Brochi, Zhongwei Xu, et al.
Medical Physics|April 12, 2019
Technical Note: Noise models for virtual clinical trials of digital breast tomosynthesisLucas R Borges, Bruno Barufaldi, Renato F Caron, et al.
Medical Physics|June 10, 2016
Method for simulating dose reduction in digital mammography using the Anscombe transformationLucas R Borges, Helder C R de Oliveira, Polyana F Nunes, et al.
Tomography (Ann Arbor, Mich.)|July 25, 2023
Impact of Tomosynthesis Acquisition on 3D Segmentations of Breast Outline and Adipose/Dense Tissue with AI: A Simulation-Based StudyBruno Barufaldi, Jordy Gomes, Thais G do Rego, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Artificial Intelligence in Medicine|June 14, 2023
Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammographyHongming Shan, Rodrigo B Vimieiro, Lucas R Borges, et al.
Medical Physics|August 16, 2025
Predicting the quality of digital mammography from the perspective of detectability of microcalcifications: A Radiomics approachLucas E Soares, Lucas R Borges, Renato F Caron, et al.
Journal of Digital Imaging|July 19, 2012
Mammographic image denoising and enhancement using the Anscombe transformation, adaptive wiener filtering, and the modulation transfer functionLarissa C S Romualdo, Marcelo A C Vieira, Homero Schiabel, et al.
IEEE Transactions on Medical Imaging|June 23, 2017
Method for Simulating Dose Reduction in Digital Breast TomosynthesisLucas R Borges, Igor Guerrero, Predrag R Bakic, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Improving the Automated Detection of Calcifications Using Adaptive Variance StabilizationAlessandro Bria, Claudio Marrocco, Lucas R Borges, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 20, 2025
Exploring the impact of image restoration in simulating higher dose mammography: effects on the detectability of microcalcifications across different sizes using model observer analysisRenann F Brandão, Lucas E Soares, Lucas R Borges, et al.
Physics in Medicine and Biology|November 24, 2020
Noise modeling and variance stabilization of a computed radiography (CR) mammography system subject to fixed-pattern noiseLucas R Borges, Marco A C Brochi, Zhongwei Xu, et al.
Medical Physics|April 12, 2019
Technical Note: Noise models for virtual clinical trials of digital breast tomosynthesisLucas R Borges, Bruno Barufaldi, Renato F Caron, et al.
Medical Physics|June 10, 2016
Method for simulating dose reduction in digital mammography using the Anscombe transformationLucas R Borges, Helder C R de Oliveira, Polyana F Nunes, et al.
Tomography (Ann Arbor, Mich.)|July 25, 2023
Impact of Tomosynthesis Acquisition on 3D Segmentations of Breast Outline and Adipose/Dense Tissue with AI: A Simulation-Based StudyBruno Barufaldi, Jordy Gomes, Thais G do Rego, et al.
Pageof 2