Publications by authors named "Said Pertuz"

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The added value of radiomic analysis for predicting spontaneous preterm birth in the first trimester.
William Cancino, Carlos Hernan Becerra-Mojica, Said Pertuz

Comput Methods Programs Biomed· November 2025

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A systematic approach to study the effects of acquisition parameters and biological factors on computerized mammography analysis using ex vivo human tissue: A protocol description.
Nicole Hernández, Tomppa Pakarinen, Annukka Salminen, Santiago Laguna Castro, Ulla Karhunen-Enckell, Said Pertuz

PLoS One· September 2025

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Breast cancer detection from ultrasound computed tomography imaging using radiomic analysis: in silico trial.
Andres Vargas, Nicole Hernandez, Ana B Ramirez, Said Pertuz

Med Phys· April 2025

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Transfer learning for the generalization of artificial intelligence in breast cancer detection: a case-control study.
Gerson Africano, Otso Arponen, Irina Rinta-Kiikka, Said Pertuz

Acta Radiol· April 2024

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Saliency of breast lesions in breast cancer detection using artificial intelligence.
Said Pertuz, David Ortega, Érika Suarez, William Cancino, Gerson Africano

Sci Rep· November 2023

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An in silico study on the detectability of field cancerization through parenchymal analysis of digital mammograms.
Angie Hernández, David A Miranda, Said Pertuz

Med Phys· October 2023

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Image retrieval-based parenchymal analysis for breast cancer risk assessment.
Astrid Padilla, Otso Arponen, Irina Rinta-Kiikka, Said Pertuz

Med Phys· February 2022

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Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review.
Antti Tolonen, Tomppa Pakarinen, Antti Sassi, Jere Kyttä, William Cancino, Said Pertuz

Eur J Radiol· December 2021

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Algorithms and methods for computerized analysis of mammography images in breast cancer risk assessment.
Angie Hernández, David A Miranda, Said Pertuz

Comput Methods Programs Biomed· November 2021

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A New Benchmark and Method for the Evaluation of Chest Wall Detection in Digital Mammography.
Gerson Africano, Otso Arponen, Antti Sassi, Irina Rinta-Kiikka, Anna-Leena Laaperi, Said Pertuz

Annu Int Conf IEEE Eng Med Biol Soc· July 2020

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A Comparison of Regions of Interest in Parenchymal Analysis for Breast Cancer Risk Assessment.
Gerson Africano, Otso Arponen, Antti Sassi, Mirva Karivaara-Makela, Kirsi Holli-Helenius, Said Pertuz

Annu Int Conf IEEE Eng Med Biol Soc· July 2020

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Field cancerization in the understanding of parenchymal analysis of mammograms for breast cancer risk assessment.
David A Miranda, Said Pertuz

Med Hypotheses· March 2020

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Clinical evaluation of a fully-automated parenchymal analysis software for breast cancer risk assessment: A pilot study in a Finnish sample.
Said Pertuz, Antti Sassi, Kirsi Holli-Helenius, Joni Kämäräinen, Irina Rinta-Kiikka

Eur J Radiol· December 2019

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Measurement challenge: protocol for international case-control comparison of mammographic measures that predict breast cancer risk.
Evenda Dench, Daniela Bond-Smith, Ellie Darcey, Grant Lee, Ye K Aung, Said Pertuz

BMJ Open· December 2019

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Morphological Area Gradient: System-independent Dense Tissue Segmentation in Mammography Images.
German F Torres, Antti Sassi, Otso Arponen, Kirsi Holli-Helenius, Anna-Leena Laaperi, Said Pertuz

Annu Int Conf IEEE Eng Med Biol Soc· July 2019

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Do Mammographic Systems Affect the Performance of Computerized Parenchymal Analysis?
Said Pertuz, Antti Sassi, Otso Arponen, Kirsi Holli-Helenius, Anna-Leena Laaperi

Annu Int Conf IEEE Eng Med Biol Soc· July 2019

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The Impact of Acquisition Dose on Quantitative Breast Density Estimation with Digital Mammography: Results from ACRIN PA 4006.
Lin Chen, Shonket Ray, Brad M Keller, Said Pertuz, Elizabeth S McDonald

Radiology· September 2016

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Fully Automated Quantitative Estimation of Volumetric Breast Density from Digital Breast Tomosynthesis Images: Preliminary Results and Comparison with Digital Mammography and MR Imaging.
Said Pertuz, Elizabeth S McDonald, Susan P Weinstein, Emily F Conant, Despina Kontos

Radiology· April 2016

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Generation of all-in-focus images by noise-robust selective fusion of limited depth-of-field images.
Said Pertuz, Domenec Puig, Miguel Angel Garcia, Andrea Fusiello

IEEE Trans Image Process· March 2013

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