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Lauren Pantalone

Showing results (1-10 of 29) with videos related to

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IEEE Transactions on Bio-Medical Engineering|October 19, 2018
Three-Dimensional Whole Breast Segmentation in Sagittal and Axial Breast MRI With Dense Depth Field Modeling and Localized Self-Adaptation for Chest-Wall Line DetectionDong Wei, Susan Weinstein, Meng-Kang Hsieh, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|July 20, 2021
O-Net: An Overall Convolutional Network for Segmentation TasksOmid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, et al.
Academic Radiology|February 4, 2018
Using Convolutional Neural Networks for Enhanced Capture of Breast Parenchymal Complexity Patterns Associated with Breast Cancer RiskAimilia Gastounioti, Andrew Oustimov, Meng-Kang Hsieh, et al.
Radiology|March 20, 2019
Effect of Mammographic Screening Modality on Breast Density Assessment: Digital Mammography versus Digital Breast TomosynthesisAimilia Gastounioti, Anne Marie McCarthy, Lauren Pantalone, et al.
Scientific Reports|December 4, 2018
Incorporating Breast Anatomy in Computational Phenotyping of Mammographic Parenchymal Patterns for Breast Cancer Risk EstimationAimilia Gastounioti, Meng-Kang Hsieh, Eric Cohen, et al.
Medical Physics|November 5, 2020
Fully automatic quantification of fibroglandular tissue and background parenchymal enhancement with accurate implementation for axial and sagittal breast MRI protocolsDong Wei, Nariman Jahani, Eric Cohen, et al.
Radiology|January 26, 2017
Agreement between Breast Percentage Density Estimations from Standard-Dose versus Synthetic Digital Mammograms: Results from a Large Screening Cohort Using Automated MeasuresEmily F Conant, Brad M Keller, Lauren Pantalone, et al.
Medical Physics|November 4, 2016
Breast parenchymal patterns in processed versus raw digital mammograms: A large population study toward assessing differences in quantitative measures across image representationsAimilia Gastounioti, Andrew Oustimov, Brad M Keller, et al.
Frontiers in Medicine|November 19, 2021
Racial Disparities in 30-Day Outcomes Following Index Admission for COVID-19Vivek Nimgaonkar, Jeffrey C Thompson, Lauren Pantalone, et al.
JNCI Cancer Spectrum|June 8, 2023
Breast density quantitative measures and breast cancer risk among screened Black womenMattia A Mahmoud, Sarah Ehsan, Lauren Pantalone, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Bio-Medical Engineering|October 19, 2018
Three-Dimensional Whole Breast Segmentation in Sagittal and Axial Breast MRI With Dense Depth Field Modeling and Localized Self-Adaptation for Chest-Wall Line DetectionDong Wei, Susan Weinstein, Meng-Kang Hsieh, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|July 20, 2021
O-Net: An Overall Convolutional Network for Segmentation TasksOmid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, et al.
Academic Radiology|February 4, 2018
Using Convolutional Neural Networks for Enhanced Capture of Breast Parenchymal Complexity Patterns Associated with Breast Cancer RiskAimilia Gastounioti, Andrew Oustimov, Meng-Kang Hsieh, et al.
Radiology|March 20, 2019
Effect of Mammographic Screening Modality on Breast Density Assessment: Digital Mammography versus Digital Breast TomosynthesisAimilia Gastounioti, Anne Marie McCarthy, Lauren Pantalone, et al.
Scientific Reports|December 4, 2018
Incorporating Breast Anatomy in Computational Phenotyping of Mammographic Parenchymal Patterns for Breast Cancer Risk EstimationAimilia Gastounioti, Meng-Kang Hsieh, Eric Cohen, et al.
Medical Physics|November 5, 2020
Fully automatic quantification of fibroglandular tissue and background parenchymal enhancement with accurate implementation for axial and sagittal breast MRI protocolsDong Wei, Nariman Jahani, Eric Cohen, et al.
Radiology|January 26, 2017
Agreement between Breast Percentage Density Estimations from Standard-Dose versus Synthetic Digital Mammograms: Results from a Large Screening Cohort Using Automated MeasuresEmily F Conant, Brad M Keller, Lauren Pantalone, et al.
Medical Physics|November 4, 2016
Breast parenchymal patterns in processed versus raw digital mammograms: A large population study toward assessing differences in quantitative measures across image representationsAimilia Gastounioti, Andrew Oustimov, Brad M Keller, et al.
Frontiers in Medicine|November 19, 2021
Racial Disparities in 30-Day Outcomes Following Index Admission for COVID-19Vivek Nimgaonkar, Jeffrey C Thompson, Lauren Pantalone, et al.
JNCI Cancer Spectrum|June 8, 2023
Breast density quantitative measures and breast cancer risk among screened Black womenMattia A Mahmoud, Sarah Ehsan, Lauren Pantalone, et al.
Pageof 3