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The regression detectability index RDI for mammography images of breast phantoms with calcification-like objects and anatomical background

Physics in medicine & biology, 2021-11, Vol.66 (22), p.225015

2021

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Homogeneous vs. patient specific breast models for Monte Carlo evaluation of mean glandular dose in mammography

Physica medica, 2018-07, Vol.51, p.56-63

2018

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Minimally invasive breast cancer excision using the breast lesion excision system under ultrasound guidance

Breast cancer research and treatment, 2020-11, Vol.184 (1), p.37-43

2020

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Can a channelized Hotelling observer assess image quality in acquired mammographic images of an anthropomorphic breast phantom including image processing?

Medical physics (Lancaster), 2019-02, Vol.46 (2), p.714-725

2019

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SU‐E‐I‐58: Objective Models of Breast Shape Undergoing Mammography and Tomosynthesis Using Principal Component Analysis

Medical Physics, 2012-06, Vol.39 (6), p.3638-3638

2012

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WE‐G‐103‐05: Spatial Frequency Characterization of the X‐Ray Scatter Signal in Breast Imaging

Medical Physics, 2013-06, Vol.40 (6), p.510-510

2013

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MO‐F‐213CD‐08: Characterization of the Homogeneous Breast Tissue Mixture Approximation for Breast Image Dosimetry

Medical Physics, 2012-06, Vol.39 (6), p.3878-3878

2012

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WE‐A‐201B‐05: Dosimetric Characterization of a Dedicated Breast Computed Tomography Clinical Prototype System

Medical Physics, 2010-06, Vol.37 (6), p.3413-3413

2010

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WE‐G‐110‐06: Introduction to the AAPM Task Group No. 195 ‐ Monte Carlo Reference Data Sets for Imaging Research

Medical Physics, 2011-06, Vol.38 (6), p.3834-3834

2011

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SU‐FF‐I‐97: Feasibility of Low Dose X‐Ray Contrast Enhanced Digital Mammography with Gold Nanoparticles

Medical physics (Lancaster), 2007-06, Vol.34 (6), p.2360-2360

2007

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TH‐C‐L100F‐10: Monte Carlo Coupled Modeling of a Computed Radiography System

Medical physics (Lancaster), 2007-06, Vol.34 (6), p.2621-2621

2007

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SU‐DD‐A4‐05: Characterization of X‐Ray Scatter and Glandular Dose in Digital Tomosynthesis for Breast Imaging Using Monte Carlo Simulations

Medical Physics, 2006-06, Vol.33 (6), p.1990-1990

2006

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WE‐E‐330D‐03: Feasibility of High‐Resolution Contrast Enhanced Digital Mammography

Medical Physics, 2006-06, Vol.33 (6), p.2252-2252

2006

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WE‐E‐L100J‐05: Radiation Dose to Tissues From Mammography

Medical physics (Lancaster), 2007-06, Vol.34 (6), p.2606-2606

2007

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Multifunctional nanocarriers for mammographic quantification of tumor dosing and prognosis of breast cancer therapy

Biomaterials, 2008-12, Vol.29 (36), p.4815-4822

2008

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A review of breast tomosynthesis. Part I. The image acquisition process

Medical Physics, 2013-01, Vol.40 (1), p.014301-n/a

Sechopoulos, Ioannis

2013

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A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications

Medical Physics, 2013-01, Vol.40 (1), p.014302-n/a

Sechopoulos, Ioannis

2013

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Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art

Seminars in cancer biology, 2021-07, Vol.72, p.214-225

2021

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Digital Breast Tomosynthesis Screening: Better But Still Not Good Enough for All Women

Radiology, 2020-12, Vol.297 (3), p.532-533

2020

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X-ray scatter correction method for dedicated breast computed tomography

Medical physics (Lancaster), 2012-05, Vol.39 (5), p.2896-2903

Sechopoulos, Ioannis

2012

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Optimization of the acquisition geometry in digital tomosynthesis of the breast

Medical physics (Lancaster), 2009-04, Vol.36 (4), p.1199-1207

2009

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Stand-alone artificial intelligence - The future of breast cancer screening?

Breast (Edinburgh), 2020-02, Vol.49, p.254-260

2020

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Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence

Computers in biology and medicine, 2020-03, Vol.118, p.103629-103629, Article 103629

2020

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Dosimetry in x-ray-based breast imaging

Physics in medicine & biology, 2016-10, Vol.61 (19), p.R271-R304

2016

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Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

European radiology, 2021-11, Vol.31 (11), p.8682-8691

2021

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The regression detectability index RDI for mammography images of breast phantoms with calcification-like objects and anatomical background

Homogeneous vs. patient specific breast models for Monte Carlo evaluation of mean glandular dose in mammography

Minimally invasive breast cancer excision using the breast lesion excision system under ultrasound guidance

Can a channelized Hotelling observer assess image quality in acquired mammographic images of an anthropomorphic breast phantom including image processing?

SU‐E‐I‐58: Objective Models of Breast Shape Undergoing Mammography and Tomosynthesis Using Principal Component Analysis

WE‐G‐103‐05: Spatial Frequency Characterization of the X‐Ray Scatter Signal in Breast Imaging

MO‐F‐213CD‐08: Characterization of the Homogeneous Breast Tissue Mixture Approximation for Breast Image Dosimetry

WE‐A‐201B‐05: Dosimetric Characterization of a Dedicated Breast Computed Tomography Clinical Prototype System

WE‐G‐110‐06: Introduction to the AAPM Task Group No. 195 ‐ Monte Carlo Reference Data Sets for Imaging Research

SU‐FF‐I‐97: Feasibility of Low Dose X‐Ray Contrast Enhanced Digital Mammography with Gold Nanoparticles

TH‐C‐L100F‐10: Monte Carlo Coupled Modeling of a Computed Radiography System

SU‐DD‐A4‐05: Characterization of X‐Ray Scatter and Glandular Dose in Digital Tomosynthesis for Breast Imaging Using Monte Carlo Simulations

WE‐E‐330D‐03: Feasibility of High‐Resolution Contrast Enhanced Digital Mammography

WE‐E‐L100J‐05: Radiation Dose to Tissues From Mammography

Multifunctional nanocarriers for mammographic quantification of tumor dosing and prognosis of breast cancer therapy

A review of breast tomosynthesis. Part I. The image acquisition process

A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications

Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art

Digital Breast Tomosynthesis Screening: Better But Still Not Good Enough for All Women

X-ray scatter correction method for dedicated breast computed tomography

Optimization of the acquisition geometry in digital tomosynthesis of the breast

Stand-alone artificial intelligence - The future of breast cancer screening?

Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence

Dosimetry in x-ray-based breast imaging

Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

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