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Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials

Pattern recognition, 2024-09, Vol.153, p.110494, Article 110494

2024

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Carotid artery wall motion analysis from B-mode ultrasound using adaptive block matching: in silico evaluation and in vivo application

Physics in medicine & biology, 2013-12, Vol.58 (24), p.8647-8661

2013

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Comparison of Kalman-filter-based approaches for block matching in arterial wall motion analysis from B-mode ultrasound

Measurement science & technology, 2011-11, Vol.22 (11), p.114008

2011

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Galectin-3, Carotid Plaque Vulnerability, and Potential Effects of Statin Therapy

European journal of vascular and endovascular surgery, 2015-01, Vol.49 (1), p.4-9

2015

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Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography (Ann Arbor), 2020-06, Vol.6 (2), p.118-128

2020

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Galectin-3, Carotid Plaque Vulnerability, and Potential Effects of Statin Therapy

Journal of vascular surgery, 2015, Vol.61 (1), p.283-283

2015

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Re: ‘Response to Letter to the Editor on “Galectin-3, Carotid Plaque Vulnerability, and Potential Effects of Statin Therapy”’

European journal of vascular and endovascular surgery, 2015-05, Vol.49 (5), p.613-614

2015

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Toward Novel Noninvasive and Low-Cost Markers for Predicting Strokes in Asymptomatic Carotid Atherosclerosis: The Role of Ultrasound Image Analysis

IEEE transactions on biomedical engineering, 2013-03, Vol.60 (3), p.652-658

2013

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Kalman-filter-based block matching for arterial wall motion estimation from B-mode ultrasound

2010 IEEE International Conference on Imaging Systems and Techniques, 2010, p.234-239

2010

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External Validation of a Mammography-Derived AI-Based Risk Model in a U.S. Breast Cancer Screening Cohort of White and Black Women

Cancers, 2022-09, Vol.14 (19), p.4803

2022

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Comparison of Block Matching and Differential Methods for Motion Analysis of the Carotid Artery Wall From Ultrasound Images

IEEE journal of biomedical and health informatics, 2012-09, Vol.16 (5), p.852-858

2012

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Abstract PD2-10: Radiomic phenotypes of tumor heterogeneity from pre-operative DCE-MRI independently predict breast cancer recurrence after 10-year follow-up from primary invasive diagnosis

Cancer research (Chicago, Ill.), 2018-02, Vol.78 (4_Supplement), p.PD2-10-PD2-10

2018

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Computerized analysis of ultrasound images: Potential associations between texture and motion properties of the diseased arterial wall

2012 IEEE International Ultrasonics Symposium, 2012, p.691-694

2012

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Ultrasound-image-based displacement and strain maps of the human carotid artery using weighted-least-squares optical flow

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings, 2012, p.106-111

2012

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Multiscale approach for weighted least-squares optical flow for estimating arterial wall displacements

2011 10th International Workshop on Biomedical Engineering, 2011, p.1-4

2011

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Multiscale motion analysis of the carotid artery wall from B-mode ultrasound: Investigating the optimal wavelet parameterization

13th IEEE International Conference on BioInformatics and BioEngineering, 2013, p.1-4

2013

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Chapter 5 - Implications of the Kinematic Activity of the Atherosclerotic Plaque: Analysis Using a Comprehensive Framework for B-Mode Ultrasound of the Carotid Artery

Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting, 2017, p.109-130

2017

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Toward recognizing the vulnerable asymptomatic atheromatous plaque from B-mode ultrasound: the importance of the morphology of the plaque shoulder

2014 IEEE International Ultrasonics Symposium, 2014, p.2390-2393

2014

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Artificial Intelligence in Breast Imaging Daily Clinical Practice: Point-Reshaping Breast Cancer Screening

American journal of roentgenology (1976), 2024-09, Vol.223 (3), p.e2431174

2024

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Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment

Breast cancer research : BCR, 2016-09, Vol.18 (1), p.91-91, Article 91

2016

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Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative review

Breast cancer research : BCR, 2022-02, Vol.24 (1), p.14-14, Article 14

2022

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Is It Time to Get Rid of Black Boxes and Cultivate Trust in AI?

Radiology. Artificial intelligence, 2020-05, Vol.2 (3), p.e200088-e200088

2020

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Functional 4-D clustering for characterizing intratumor heterogeneity in dynamic imaging: evaluation in FDG PET as a prognostic biomarker for breast cancer

European journal of nuclear medicine and molecular imaging, 2021-11, Vol.48 (12), p.3990-4001

2021

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Motion synchronisation patterns of the carotid atheromatous plaque from B-mode ultrasound

Scientific reports, 2020-07, Vol.10 (1), p.11221-11221, Article 11221

2020

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Beyond the AJR : “External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms”

American journal of roentgenology (1976), 2021-06, Vol.216 (6), p.1436-1436

2021

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Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials

Carotid artery wall motion analysis from B-mode ultrasound using adaptive block matching: in silico evaluation and in vivo application

Comparison of Kalman-filter-based approaches for block matching in arterial wall motion analysis from B-mode ultrasound

Galectin-3, Carotid Plaque Vulnerability, and Potential Effects of Statin Therapy

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Galectin-3, Carotid Plaque Vulnerability, and Potential Effects of Statin Therapy

Re: ‘Response to Letter to the Editor on “Galectin-3, Carotid Plaque Vulnerability, and Potential Effects of Statin Therapy”’

Toward Novel Noninvasive and Low-Cost Markers for Predicting Strokes in Asymptomatic Carotid Atherosclerosis: The Role of Ultrasound Image Analysis

Kalman-filter-based block matching for arterial wall motion estimation from B-mode ultrasound

External Validation of a Mammography-Derived AI-Based Risk Model in a U.S. Breast Cancer Screening Cohort of White and Black Women

Comparison of Block Matching and Differential Methods for Motion Analysis of the Carotid Artery Wall From Ultrasound Images

Abstract PD2-10: Radiomic phenotypes of tumor heterogeneity from pre-operative DCE-MRI independently predict breast cancer recurrence after 10-year follow-up from primary invasive diagnosis

Computerized analysis of ultrasound images: Potential associations between texture and motion properties of the diseased arterial wall

Ultrasound-image-based displacement and strain maps of the human carotid artery using weighted-least-squares optical flow

Multiscale approach for weighted least-squares optical flow for estimating arterial wall displacements

Multiscale motion analysis of the carotid artery wall from B-mode ultrasound: Investigating the optimal wavelet parameterization

Chapter 5 - Implications of the Kinematic Activity of the Atherosclerotic Plaque: Analysis Using a Comprehensive Framework for B-Mode Ultrasound of the Carotid Artery

Toward recognizing the vulnerable asymptomatic atheromatous plaque from B-mode ultrasound: the importance of the morphology of the plaque shoulder

Artificial Intelligence in Breast Imaging Daily Clinical Practice: Point-Reshaping Breast Cancer Screening

Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment

Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative review

Is It Time to Get Rid of Black Boxes and Cultivate Trust in AI?

Functional 4-D clustering for characterizing intratumor heterogeneity in dynamic imaging: evaluation in FDG PET as a prognostic biomarker for breast cancer

Motion synchronisation patterns of the carotid atheromatous plaque from B-mode ultrasound

Beyond the AJR : “External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms”

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