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Bruno Barufaldi

Showing results (31-40 of 46) with videos related to

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Radiology|July 29, 2016
Implementation of Synthesized Two-dimensional Mammography in a Population-based Digital Breast Tomosynthesis Screening ProgramSamantha P Zuckerman, Emily F Conant, Brad M Keller, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 16, 2026
Importance of conditioning in latent diffusion models for image generation and super-resolutionDayvison Gomes de Oliveira, Franklin Anthony Ramos Coêlho, Thaís Gaudencio do Rêgo, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 1, 2024
Pre-clinical evaluation and optimization of image quality for a Next Generation Tomosynthesis prototypeTrevor L Vent, Raymond J Acciavatti, Chloe Choi, et al.
Cancers|April 12, 2022
MaasPenn Radiomics Reproducibility Score: A Novel Quantitative Measure for Evaluating the Reproducibility of CT-Based Handcrafted Radiomic FeaturesAbdalla Ibrahim, Bruno Barufaldi, Turkey Refaee, 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.
Tomography (Ann Arbor, Mich.)|June 27, 2023
Multiclass Segmentation of Breast Tissue and Suspicious Findings: A Simulation-Based Study for the Development of Self-Steering TomosynthesisBruno Barufaldi, Yann N G da Nobrega, Giulia Carvalhal, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 25, 2025
Feasibility Study of Dose Reduction in Digital Breast Tomosynthesis Using Non-Local Denoising AlgorithmsMarcelo A C Vieira, Helder C R de Oliveira, Polyana F Nunes, et al.
Medical Physics|May 23, 2026
Improving textural realism in breast phantom imagesLuana de M Omena, Guilherme M de Oliveira, Thaís G do Rêgo, et al.
Cancer|November 16, 2025
Racial differences in quantitative background parenchymal enhancement on breast magnetic resonance imagingMattia A Mahmoud, Christine E Edmonds, Bruno Barufaldi, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
Calculation of Radiomic Features to Validate the Textural Realism of Physical Anthropomorphic Phantoms for Digital MammographyRaymond J Acciavatti, Eric A Cohen, Omid Haji Maghsoudi, et al.
Pageof 5

Showing results (31-40 of 46) with videos related to

Sort By:
Pageof 5
Radiology|July 29, 2016
Implementation of Synthesized Two-dimensional Mammography in a Population-based Digital Breast Tomosynthesis Screening ProgramSamantha P Zuckerman, Emily F Conant, Brad M Keller, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 16, 2026
Importance of conditioning in latent diffusion models for image generation and super-resolutionDayvison Gomes de Oliveira, Franklin Anthony Ramos Coêlho, Thaís Gaudencio do Rêgo, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 1, 2024
Pre-clinical evaluation and optimization of image quality for a Next Generation Tomosynthesis prototypeTrevor L Vent, Raymond J Acciavatti, Chloe Choi, et al.
Cancers|April 12, 2022
MaasPenn Radiomics Reproducibility Score: A Novel Quantitative Measure for Evaluating the Reproducibility of CT-Based Handcrafted Radiomic FeaturesAbdalla Ibrahim, Bruno Barufaldi, Turkey Refaee, 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.
Tomography (Ann Arbor, Mich.)|June 27, 2023
Multiclass Segmentation of Breast Tissue and Suspicious Findings: A Simulation-Based Study for the Development of Self-Steering TomosynthesisBruno Barufaldi, Yann N G da Nobrega, Giulia Carvalhal, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 25, 2025
Feasibility Study of Dose Reduction in Digital Breast Tomosynthesis Using Non-Local Denoising AlgorithmsMarcelo A C Vieira, Helder C R de Oliveira, Polyana F Nunes, et al.
Medical Physics|May 23, 2026
Improving textural realism in breast phantom imagesLuana de M Omena, Guilherme M de Oliveira, Thaís G do Rêgo, et al.
Cancer|November 16, 2025
Racial differences in quantitative background parenchymal enhancement on breast magnetic resonance imagingMattia A Mahmoud, Christine E Edmonds, Bruno Barufaldi, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
Calculation of Radiomic Features to Validate the Textural Realism of Physical Anthropomorphic Phantoms for Digital MammographyRaymond J Acciavatti, Eric A Cohen, Omid Haji Maghsoudi, et al.
Pageof 5