Bruno Barufaldi

According to our database, Bruno Barufaldi authored at least 21 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis.

Tamerlan Mustafaev, Oleg Kruglov, Margarita L. Zuley, Luana de Mero Omena, Guilherme Muniz de Oliveira, Vitor de Sousa Franca, Bruno Barufaldi, Robert M. Nishikawa, Juhun Lee

CoRR, April, 2026

2025

Toward explainable AI approaches for breast imaging: adapting foundation models to diverse populations.

Guilherme J. Cavalcante, José Gabriel A. Moreira, Gabriel A. B. do Nascimento, Vincent Dong, Alex Nguyen, Thaís Gaudencio do Rêgo, Yuri Malheiros, Telmo de Menezes e Silva Filho, Carla R. Zeballos Torrez, James C. Gee, Annemarie McCarthy, Andrew D. A. Maidment, Bruno Barufaldi

CoRR, November, 2025

Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women.

Gabriel A. B. do Nascimento, Vincent Dong, Guilherme J. Cavalcante, Alex Nguyen, Thaís Gaudencio do Rêgo, Yuri Malheiros, Telmo de Menezes e Silva Filho, Carla R. Zeballos Torrez, James C. Gee, Annemarie McCarthy, Andrew D. A. Maidment, Bruno Barufaldi

CoRR, September, 2025

2024

Non-Isocentric Geometry for Next-Generation Tomosynthesis With Super-Resolution.

Raymond Joseph Acciavatti, Chloe J. Choi, Trevor Lewis Vent, Bruno Barufaldi, Eric A. Cohen, E. Paul Wileyto, Andrew D. A. Maidment

IEEE Trans. Medical Imaging, January, 2024

Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials.

Bruno Barufaldi, Jordy V. Gomes, Telmo de Menezes e Silva Filho, Thaís Gaudencio do Rêgo, Yuri Malheiros, Trevor Lewis Vent, Aimilia Gastounioti, Andrew D. A. Maidment

Pattern Recognit., 2024

Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms.

Aditya Jonnalagadda, Bruno Barufaldi, Andrew D. A. Maidment, Susan P. Weinstein, Craig K. Abbey, Miguel P. Eckstein

CoRR, 2024

2023

Assessing the impact of correlated noise in digital mammography: a virtual clinical trial.

Lucas Exposto Soares, Renann F. Brandao, Lucas R. Borges, Renato F. Caron, Bruno Barufaldi, Andrew D. A. Maidment, Marcelo A. C. Vieira

Proceedings of the Medical Imaging 2023: Image Perception, 2023

Comparing experts to novices: reduced satisfaction of search when searching with virtual breast tomosynthesis.

Stephen H. Adamo, Bruno Barufaldi, Miguel A. Lago

Proceedings of the Medical Imaging 2023: Image Perception, 2023

2021

Computational Breast Anatomy Simulation Using Multi-Scale Perlin Noise.

Bruno Barufaldi, Craig K. Abbey, Miguel A. Lago, Trevor Lewis Vent, Raymond Joseph Acciavatti, Predrag R. Bakic, Andrew D. A. Maidment

IEEE Trans. Medical Imaging, 2021

Automatic Segmentation of Mammary Tissue using Computer Simulations of Breast Phantoms and Deep-learning Techniques.

Lucca R. Peregrino, Jordy V. Gomes, Thaís Gaudencio do Rêgo, Yuri de A. M. Barbosa, Telmo de Menezes e Silva Filho, Andrew D. A. Maidment, Bruno Barufaldi

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020

Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms.

Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein

Proceedings of the Medical Imaging 2020: Image Perception, 2020

Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms.

Aditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein

Proceedings of the Medical Imaging 2020: Image Perception, 2020

2018

Interactions of lesion detectability and size across single-slice DBT and 3D DBT.

Miguel A. Lago, Craig K. Abbey, Bruno Barufaldi, Predrag R. Bakic, Susan P. Weinstein, Andrew D. A. Maidment, Miguel P. Eckstein

Proceedings of the Medical Imaging 2018: Image Perception, 2018

Diagnostic radiation dose after the implementation of digital breast tomosynthesis screening.

Bruno Barufaldi, Elizabeth S. McDonald, Emily F. Conant, Andrew D. A. Maidment

Proceedings of the 14th International Workshop on Breast Imaging, 2018

Developing populations of software breast phantoms for virtual clinical trials.

Bruno Barufaldi, Predrag R. Bakic, David D. Pokrajac, Miguel A. Lago, Andrew D. A. Maidment

Proceedings of the 14th International Workshop on Breast Imaging, 2018

Optimized simulation of breast anatomy for virtual clinical trials.

Predrag R. Bakic, Bruno Barufaldi, David D. Pokrajac, Susan P. Weinstein, Andrew D. A. Maidment

Proceedings of the 14th International Workshop on Breast Imaging, 2018

2016

Validation of no-reference image quality index for the assessment of digital mammographic images.

Helder Cesar Rodigues de Oliveira, Bruno Barufaldi, Lucas R. Borges, Salvador Gabarda, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel, Marcelo Andrade da Costa Vieira

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

Summary of Outcomes from Consecutive Years of Tomosynthesis Screening at an American Academic Institution.

Emily F. Conant, Andrew Oustimov, Samantha P. Zuckerman, Elizabeth S. McDonald, Susan P. Weinstein, Andrew D. A. Maidment, Bruno Barufaldi, Marie Synnestvedt, Mitchell D. Schnall

Proceedings of the Breast Imaging, 2016

The Effect of Breast Composition on a No-reference Anisotropic Quality Index for Digital Mammography.

Bruno Barufaldi, Lucas R. Borges, Marcelo Andrade da Costa Vieira, Salvador Gabarda, Andrew D. A. Maidment, Predrag R. Bakic, David D. Pokrajac, Homero Schiabel

Proceedings of the Breast Imaging, 2016

2012

A Computer Aided Detection System for Microcalcifications in Breast Phantom Images.

Bruno Barufaldi, Sarah Soares de Oliveira, Leonardo Vidal Batista, Homero Schiabel, Manuella Santos Carneiro Almeida

Proceedings of the BIOSIGNALS 2012, 2012

2010

Classificação Automática de Textos por Período Literário Utilizando Compressão de Dados Através do PPM-C.

Bruno Barufaldi, Milton Marques Junior, Eduardo Freire Santana, JanKees van der Poel, José Rogério Bezerra Barbosa Filho, Leonardo Vidal Batista

Linguamática, 2010