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Bruno Barufaldi, PhD
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Research Assistant Professor of Radiology
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Department: Radiology
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Contact information
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3620 Hamilton Walk
33 John Morgan, 155
Philadelphia, PA 19104
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33 John Morgan, 155
Philadelphia, PA 19104
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Education:
21 9 B.S. 1d (Computer Science) c
2e University of Paraiba, 2010.
21 9 MSc. 1d (Computer Science) c
2e University of Paraiba, 2011.
21 8 PhD 30 (Electrical and Computer Engineering) c
30 University of Sao Paulo, 2016.
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Permanent link21 9 B.S. 1d (Computer Science) c
2e University of Paraiba, 2010.
21 9 MSc. 1d (Computer Science) c
2e University of Paraiba, 2011.
21 8 PhD 30 (Electrical and Computer Engineering) c
30 University of Sao Paulo, 2016.
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1ac As an individual hailing from a country marked by economic inequality and high rates of late-stage breast cancer, I am strongly motivated to work in the field of breast cancer research. Cancer disparities fuel my determination to address the urgent need for equitable and effective interventions in cancer diagnosis. Every woman, regardless of her race and socioeconomic status, deserves timely and effective healthcare.
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185 I aim to identify and address the underlying factors contributing to breast cancer, especially in racial or socio-economically disadvantaged women. By working towards bridging the gaps and empowering underrepresented populations, I aspire to contribute to a future where individuals have equal opportunities for prevention, early detection, and effective treatment of breast cancer.
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Description of Research Expertise
100 My research training was conducted jointly at Penn and the University of Sao Paulo (Brazil) where I received my doctorate. My research is focused on the development of imaging systems and intelligent methods to improve breast cancer care.8
1ac As an individual hailing from a country marked by economic inequality and high rates of late-stage breast cancer, I am strongly motivated to work in the field of breast cancer research. Cancer disparities fuel my determination to address the urgent need for equitable and effective interventions in cancer diagnosis. Every woman, regardless of her race and socioeconomic status, deserves timely and effective healthcare.
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185 I aim to identify and address the underlying factors contributing to breast cancer, especially in racial or socio-economically disadvantaged women. By working towards bridging the gaps and empowering underrepresented populations, I aspire to contribute to a future where individuals have equal opportunities for prevention, early detection, and effective treatment of breast cancer.
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173 Min G., Raj J., Rizwan H., Barufaldi B., Krishnamoorthy S., Millardet M., Maidment A. D. A.,Surti S., Matej S.: Quantitative Evaluation of Spatially-Variant Deformations Recovered by Deep Learning on Clinical-Like Breast Lesions. IEEE Transactions on Radiation and Plasma Medical Sciences Dec 2025.
173 Min G., Juhi R, Rizwan H., Barufaldi B., Krishnamoorthy S., Millardet M., Maidment A. D. A.,Surti S., Matej S.: Quantitative Evaluation of Spatially-Variant Deformations Recovered by Deep Learning on Clinical-Like Breast Lesions. IEEE Transactions on Radiation and Plasma Medical Sciences Dec 2025.
17e Mattia A. Mahmoud, Christine E. Edmonds,Bruno Barufaldi, Alex Nguyen, Oluwadamilola M. Fayanju, Routiakou Sore,Sarah Ehsan, Carla R. Zeballos Torrez, Jinbo Chen, Despina Kontos, Anne Marie McCarthy: Racial Differences in Quantitative Background Parenchymal Enhancement on Breast MRI. Cancers. Wiley, Nov 2025.
162 Vincent Dong, Walter Mankowski, Telmo M Silva Filho, Anne Marie McCarthy, Despina Kontos, Andrew D A Maidment, Bruno Barufaldi: Robust evaluation of tissue-specific radiomic features for classifying breast tissue density grades. J Med Imaging (Bellingham) 12(2): S22010, Nov 2025.
13e Yang K, Abbey CK, Barufaldi B, Li X, Marschall TA, Liu B.: Frequency-based texture analysis of non-Gaussian properties of digital breast tomosynthesis images and comparison across two vendors. J Med Imaging (Bellingham) 12(2): S22004, Nov 2025.
68 Aditya Jonnalagadda, Bruno Barufaldi, Andrew D. A. Maidment, 12c Susan P. Weinstein, Craig K. Abbey, and Miguel P. Eckstein: Convolutional neural network model observers discount signal-like anatomical structures during search in virtual digital breast tomosynthesis phantoms. J Medical Imaging (Bellingham) 12(5): 051809, Oct 2025.
b2 Bruno Barufaldi, Miguel A. Lago, Ehsan Abadi, Andrew D. A. Maidment: Container applications for the development and integration 70 of virtual imaging platforms. Medical Physics. Epub (eds.). Wiley, Page: 1-12, Mar 2025.
16f Min G., Juhi R, Rizwan H., Barufaldi B., Krishnamoorthy S., Millardet M., Maidment A. D. A.,Surti S., Matej S.: Quantitative Evaluation of Spatially-Variant Deformations Recovered by Deep Learning on Clinical-Like Breast Lesions. IEEE Transactions on Radiation and Plasma Medical Sciences 2025.
1d7 Ehsan Abadi, Bruno Barufaldi, Miguel Lago, Andreu Badal, Claudia Mello-Thoms, Nick Bottenus, Kristen A. Wangerin, Mitchell Goldburgh, Lawrence Tarbox, Erica Beaucage-Gauvreau, Alejandro F. Frangi, Andrew Maidment, Paul E. Kinahan, Hilde Bosmans, Ehsan Samei: Toward widespread use of virtual trials in medical imaging innovation and regulatory science. Medical Physics. Wiley, Page: 1-11, Oct 2024.
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Selected Publications
18c Dayvison Gomes de Oliveira, Franklin Anthony Ramos Coêlho, Thaís Gaudencio do Rêgo, Yuri de Almeida Malheiros Barbosa, Telmo de Menezes Silva Filho, Bruno Barufaldi: Importance of conditioning in latent diffusion models for image generation and super-resolution. Journal of Medical Imaging 13(Suppl 1)(S11203), Feb 2026.173 Min G., Raj J., Rizwan H., Barufaldi B., Krishnamoorthy S., Millardet M., Maidment A. D. A.,Surti S., Matej S.: Quantitative Evaluation of Spatially-Variant Deformations Recovered by Deep Learning on Clinical-Like Breast Lesions. IEEE Transactions on Radiation and Plasma Medical Sciences Dec 2025.
173 Min G., Juhi R, Rizwan H., Barufaldi B., Krishnamoorthy S., Millardet M., Maidment A. D. A.,Surti S., Matej S.: Quantitative Evaluation of Spatially-Variant Deformations Recovered by Deep Learning on Clinical-Like Breast Lesions. IEEE Transactions on Radiation and Plasma Medical Sciences Dec 2025.
17e Mattia A. Mahmoud, Christine E. Edmonds,Bruno Barufaldi, Alex Nguyen, Oluwadamilola M. Fayanju, Routiakou Sore,Sarah Ehsan, Carla R. Zeballos Torrez, Jinbo Chen, Despina Kontos, Anne Marie McCarthy: Racial Differences in Quantitative Background Parenchymal Enhancement on Breast MRI. Cancers. Wiley, Nov 2025.
162 Vincent Dong, Walter Mankowski, Telmo M Silva Filho, Anne Marie McCarthy, Despina Kontos, Andrew D A Maidment, Bruno Barufaldi: Robust evaluation of tissue-specific radiomic features for classifying breast tissue density grades. J Med Imaging (Bellingham) 12(2): S22010, Nov 2025.
13e Yang K, Abbey CK, Barufaldi B, Li X, Marschall TA, Liu B.: Frequency-based texture analysis of non-Gaussian properties of digital breast tomosynthesis images and comparison across two vendors. J Med Imaging (Bellingham) 12(2): S22004, Nov 2025.
68 Aditya Jonnalagadda, Bruno Barufaldi, Andrew D. A. Maidment, 12c Susan P. Weinstein, Craig K. Abbey, and Miguel P. Eckstein: Convolutional neural network model observers discount signal-like anatomical structures during search in virtual digital breast tomosynthesis phantoms. J Medical Imaging (Bellingham) 12(5): 051809, Oct 2025.
b2 Bruno Barufaldi, Miguel A. Lago, Ehsan Abadi, Andrew D. A. Maidment: Container applications for the development and integration 70 of virtual imaging platforms. Medical Physics. Epub (eds.). Wiley, Page: 1-12, Mar 2025.
16f Min G., Juhi R, Rizwan H., Barufaldi B., Krishnamoorthy S., Millardet M., Maidment A. D. A.,Surti S., Matej S.: Quantitative Evaluation of Spatially-Variant Deformations Recovered by Deep Learning on Clinical-Like Breast Lesions. IEEE Transactions on Radiation and Plasma Medical Sciences 2025.
1d7 Ehsan Abadi, Bruno Barufaldi, Miguel Lago, Andreu Badal, Claudia Mello-Thoms, Nick Bottenus, Kristen A. Wangerin, Mitchell Goldburgh, Lawrence Tarbox, Erica Beaucage-Gauvreau, Alejandro F. Frangi, Andrew Maidment, Paul E. Kinahan, Hilde Bosmans, Ehsan Samei: Toward widespread use of virtual trials in medical imaging innovation and regulatory science. Medical Physics. Wiley, Page: 1-11, Oct 2024.
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