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Said Pertuz

Showing results (11-20 of 19) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Do Mammographic Systems Affect the Performance of Computerized Parenchymal Analysis?Said Pertuz, Antti Sassi, Otso Arponen, et al.
European Journal of Radiology|November 6, 2019
Clinical evaluation of a fully-automated parenchymal analysis software for breast cancer risk assessment: A pilot study in a Finnish sampleSaid Pertuz, Antti Sassi, Kirsi Holli-Helenius, et al.
European Journal of Radiology|November 28, 2021
Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A reviewAntti Tolonen, Tomppa Pakarinen, Antti Sassi, et al.
Radiology|March 23, 2016
The Impact of Acquisition Dose on Quantitative Breast Density Estimation with Digital Mammography: Results from ACRIN PA 4006Lin Chen, Shonket Ray, Brad M Keller, et al.
Scientific Reports|November 23, 2023
Saliency of breast lesions in breast cancer detection using artificial intelligenceSaid Pertuz, David Ortega, Érika Suarez, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Morphological Area Gradient: System-independent Dense Tissue Segmentation in Mammography ImagesGerman F Torres, Antti Sassi, Otso Arponen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A Comparison of Regions of Interest in Parenchymal Analysis for Breast Cancer Risk AssessmentGerson Africano, Otso Arponen, Antti Sassi, et al.
Plos One|August 18, 2025
A systematic approach to study the effects of acquisition parameters and biological factors on computerized mammography analysis using ex vivo human tissue: A protocol descriptionNicole Hernández, Tomppa Pakarinen, Annukka Salminen, et al.
BMJ Open|January 2, 2020
Measurement challenge: protocol for international case-control comparison of mammographic measures that predict breast cancer riskEvenda Dench, Daniela Bond-Smith, Ellie Darcey, et al.
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Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Do Mammographic Systems Affect the Performance of Computerized Parenchymal Analysis?Said Pertuz, Antti Sassi, Otso Arponen, et al.
European Journal of Radiology|November 6, 2019
Clinical evaluation of a fully-automated parenchymal analysis software for breast cancer risk assessment: A pilot study in a Finnish sampleSaid Pertuz, Antti Sassi, Kirsi Holli-Helenius, et al.
European Journal of Radiology|November 28, 2021
Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A reviewAntti Tolonen, Tomppa Pakarinen, Antti Sassi, et al.
Radiology|March 23, 2016
The Impact of Acquisition Dose on Quantitative Breast Density Estimation with Digital Mammography: Results from ACRIN PA 4006Lin Chen, Shonket Ray, Brad M Keller, et al.
Scientific Reports|November 23, 2023
Saliency of breast lesions in breast cancer detection using artificial intelligenceSaid Pertuz, David Ortega, Érika Suarez, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Morphological Area Gradient: System-independent Dense Tissue Segmentation in Mammography ImagesGerman F Torres, Antti Sassi, Otso Arponen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A Comparison of Regions of Interest in Parenchymal Analysis for Breast Cancer Risk AssessmentGerson Africano, Otso Arponen, Antti Sassi, et al.
Plos One|August 18, 2025
A systematic approach to study the effects of acquisition parameters and biological factors on computerized mammography analysis using ex vivo human tissue: A protocol descriptionNicole Hernández, Tomppa Pakarinen, Annukka Salminen, et al.
BMJ Open|January 2, 2020
Measurement challenge: protocol for international case-control comparison of mammographic measures that predict breast cancer riskEvenda Dench, Daniela Bond-Smith, Ellie Darcey, et al.
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