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Precipitation and Temperature Trends and Cycles Derived from Historical 1890–2019 Weather Data for the City of Ottawa, Ontario, Canada

Environments (Basel, Switzerland), 2022-03, Vol.9 (3), p.35

2022

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Interobserver Variability Between Breast Imagers Using the Fifth Edition of the BI-RADS MRI Lexicon

American journal of roentgenology (1976), 2015-05, Vol.204 (5), p.1120-1124

2015

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A publicly available deep learning model and dataset for segmentation of breast, fibroglandular tissue, and vessels in breast MRI

Scientific reports, 2024-03, Vol.14 (1), p.5383-5383, Article 5383

2024

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A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images

JAMA network open, 2021-08, Vol.4 (8), p.e2119100-e2119100

2021

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A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features

British journal of cancer, 2018-08, Vol.119 (4), p.508-516

2018

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Radiology Trainee Performance in Digital Breast Tomosynthesis: Relationship Between Difficulty and Error-Making Patterns

Journal of the American College of Radiology, 2016-02, Vol.13 (2), p.198-202

2016

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Breast self-examination: defining a cohort still in need

The American journal of surgery, 2009-10, Vol.198 (4), p.575-579

2009

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Does Breast Imaging Experience During Residency Translate Into Improved Initial Performance in Digital Breast Tomosynthesis?

Journal of the American College of Radiology, 2015-07, Vol.12 (7), p.728-732

2015

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Interpretation of digital mammograms: comparison of speed and accuracy of soft-copy versus printed-film display

Radiology, 2002-05, Vol.223 (2), p.483-488

2002

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How does genetic variation modify ND-CNV phenotypes?

Trends in genetics, 2022-02, Vol.38 (2), p.140-151

2022

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Further Education (FE) to Higher Education (HE) Progression Pathways

European Journal of Teaching and Education, 2023-10, Vol.5 (3), p.24-33

2023

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Bronchiolitis: evidence-based management in high-risk infants in the intensive care setting

Pediatric research, 2024-06

2024

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Mixed-Methods Study to Predict Upstaging of DCIS to Invasive Disease on Mammography

American journal of roentgenology (1976), 2021-04, Vol.216 (4), p.903-911

2021

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Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics

Medical physics (Lancaster), 2016-08, Vol.43 (8), p.4558-4564

2016

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2019 Silver Anniversary: A Chapter’s Success in Continuing Medical Education

Journal of the American College of Radiology, 2019-08, Vol.16 (8), p.1011-1012

2019

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Frequency of Malignancy and Imaging Characteristics of Probably Benign Lesions Seen at Breast MRI

American journal of roentgenology (1976), 2015-08, Vol.205 (2), p.442-447

2015

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Initial Clinical Experience with Stationary Digital Breast Tomosynthesis

Academic radiology, 2019-10, Vol.26 (10), p.1363-1372

2019

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Predicting Upstaging of DCIS to Invasive Disease: Radiologists's Predictive Performance

Academic radiology, 2020-11, Vol.27 (11), p.1580-1585

2020

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Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics: MRI breast tumor annotation: Interobserver variability analysis

Medical physics (Lancaster), 2016-07, Vol.43 (8Part1), p.4558-4564

2016

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Predicting upstaging of DCIS to invasive disease: radiologist’s predictive performance

Academic radiology, 2020-01, Vol.27 (11), p.1580-1585

2020

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There is an urgent need for evidence-based internationally agreed guidelines for minimising readmissions after paediatric sepsis

Evidence-based nursing, 2021-01, Vol.24 (1), p.3-3

2021

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Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach

Expert systems with applications, 2016-09, Vol.56, p.1-8

2016

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Decomposing Complex Cognitive Processes to Understand Individual Differences in Behavior

Walsh, Catherine Ruth Elizabeth

2023

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Computer-aided detection (CAD) in screening mammography: sensitivity of commercial CAD systems for detecting architectural distortion

American journal of roentgenology (1976), 2003-10, Vol.181 (4), p.1083-1088

2003

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Comparative performance of multiview stereoscopic and mammographic display modalities for breast lesion detection

Medical physics (Lancaster), 2011-04, Vol.38 (4), p.1972-1980

2011

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Precipitation and Temperature Trends and Cycles Derived from Historical 1890–2019 Weather Data for the City of Ottawa, Ontario, Canada

Interobserver Variability Between Breast Imagers Using the Fifth Edition of the BI-RADS MRI Lexicon

A publicly available deep learning model and dataset for segmentation of breast, fibroglandular tissue, and vessels in breast MRI

A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images

A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features

Radiology Trainee Performance in Digital Breast Tomosynthesis: Relationship Between Difficulty and Error-Making Patterns

Breast self-examination: defining a cohort still in need

Does Breast Imaging Experience During Residency Translate Into Improved Initial Performance in Digital Breast Tomosynthesis?

Interpretation of digital mammograms: comparison of speed and accuracy of soft-copy versus printed-film display

How does genetic variation modify ND-CNV phenotypes?

Further Education (FE) to Higher Education (HE) Progression Pathways

Bronchiolitis: evidence-based management in high-risk infants in the intensive care setting

Mixed-Methods Study to Predict Upstaging of DCIS to Invasive Disease on Mammography

Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics

2019 Silver Anniversary: A Chapter’s Success in Continuing Medical Education

Frequency of Malignancy and Imaging Characteristics of Probably Benign Lesions Seen at Breast MRI

Initial Clinical Experience with Stationary Digital Breast Tomosynthesis

Predicting Upstaging of DCIS to Invasive Disease: Radiologists's Predictive Performance

Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics: MRI breast tumor annotation: Interobserver variability analysis

Predicting upstaging of DCIS to invasive disease: radiologist’s predictive performance

There is an urgent need for evidence-based internationally agreed guidelines for minimising readmissions after paediatric sepsis

Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach

Decomposing Complex Cognitive Processes to Understand Individual Differences in Behavior

Computer-aided detection (CAD) in screening mammography: sensitivity of commercial CAD systems for detecting architectural distortion

Comparative performance of multiview stereoscopic and mammographic display modalities for breast lesion detection

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