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Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

Medical image analysis, 2022-07, Vol.79, p.102470-102470, Article 102470

2022

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Association between rim enhancement of breast cancer on dynamic contrast-enhanced MRI and patient outcome: impact of subtype

Breast cancer research and treatment, 2014-12, Vol.148 (3), p.541-551

2014

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Magnetic Resonance Imaging Response Monitoring of Breast Cancer During Neoadjuvant Chemotherapy: Relevance of Breast Cancer Subtype

Journal of clinical oncology, 2011-02, Vol.29 (6), p.660-666

2011

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Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial

Radiology, 2022-01, Vol.302 (1), p.29-36

2022

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Imaging Features of HER2 Overexpression in Breast Cancer: A Systematic Review and Meta-analysis

Cancer epidemiology, biomarkers & prevention, 2014-08, Vol.23 (8), p.1464-1483

2014

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Volumetric breast density estimation on MRI using explainable deep learning regression

Scientific reports, 2020-10, Vol.10 (1), p.18095-18095, Article 18095

2020

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Radiogenomic Analysis of Breast Cancer by Linking MRI Phenotypes with Tumor Gene Expression

Radiology, 2020-08, Vol.296 (2), p.277-287

2020

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Contralateral parenchymal enhancement on breast MRI before and during neoadjuvant endocrine therapy in relation to the preoperative endocrine prognostic index

European radiology, 2020-12, Vol.30 (12), p.6740-6748

2020

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Detection of extra-axillary lymph node involvement with FDG PET/CT in patients with stage II–III breast cancer

European journal of cancer (1990), 2010-12, Vol.46 (18), p.3205-3210

2010

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Assessing Quantitative Parenchymal Features at Baseline Dynamic Contrast-enhanced MRI and Cancer Occurrence in Women with Extremely Dense Breasts

Radiology, 2023-08, Vol.308 (2), p.e222841-e222841

2023

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Synchronous Breast Cancer: Phenotypic Similarities on MRI

Journal of magnetic resonance imaging, 2020-06, Vol.51 (6), p.1858-1867

2020

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Breast tomosynthesis in clinical practice: initial results

European radiology, 2010, Vol.20 (1), p.16-24

2010

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Complementary Value of Contralateral Parenchymal Enhancement on DCE-MRI to Prognostic Models and Molecular Assays in High-risk ER + /HER2 - Breast Cancer

Clinical cancer research, 2017-11, Vol.23 (21), p.6505-6515

2017

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A practical approach to manage additional lesions at preoperative breast MRI in patients eligible for breast conserving therapy: results

Breast cancer research and treatment, 2010-12, Vol.124 (3), p.707-715

2010

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Automated rating of background parenchymal enhancement in MRI of extremely dense breasts without compromising the association with breast cancer in the DENSE trial

European journal of radiology, 2024-06, Vol.175, p.111442, Article 111442

2024

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Association between Parenchymal Enhancement of the Contralateral Breast in Dynamic Contrast-enhanced MR Imaging and Outcome of Patients with Unilateral Invasive Breast Cancer

Radiology, 2015-09, Vol.276 (3), p.675

2015

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Survival is associated with complete response on MRI after neoadjuvant chemotherapy in ER-positive HER2-negative breast cancer

Breast cancer research : BCR, 2016-08, Vol.18 (1), p.82-82, Article 82

2016

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Computer-Aided Diagnosis in Multiparametric Magnetic Resonance Imaging Screening of Women With Extremely Dense Breasts to Reduce False-Positive Diagnoses

Investigative radiology, 2020-07, Vol.55 (7), p.438

2020

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Validation of Combined Deep Learning Triaging and Computer-Aided Diagnosis in 2901 Breast MRI Examinations From the Second Screening Round of the Dense Tissue and Early Breast Neoplasm Screening Trial

Investigative radiology, 2023-04, Vol.58 (4), p.293

2023

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MR-Guided High-Intensity Focused Ultrasound Ablation of Breast Cancer with a Dedicated Breast Platform

Cardiovascular and interventional radiology, 2013-04, Vol.36 (2), p.292-301

2013

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Feasibility of FDG PET/CT to monitor the response of axillary lymph node metastases to neoadjuvant chemotherapy in breast cancer patients

European journal of nuclear medicine and molecular imaging, 2010-06, Vol.37 (6), p.1069-1076

2010

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Long-term Survival in Breast Cancer Patients Is Associated with Contralateral Parenchymal Enhancement at MRI: Outcomes of the SELECT Study

Radiology, 2023-05, Vol.307 (4), p.e221922-e221922

2023

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Agreement on indication for systemic therapy between biopsied tissue and surgical excision specimens in breast cancer patients

PloS one, 2014-03, Vol.9 (3), p.e91439-e91439

2014

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Improving prediction of response to neoadjuvant treatment in patients with breast cancer by combining liquid biopsies with multiparametric MRI: protocol of the LIMA study – a multicentre prospective observational cohort study

BMJ open, 2022-09, Vol.12 (9), p.e061334-e061334

2022

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Deep Learning‐Based Segmentation of Locally Advanced Breast Cancer on MRI in Relation to Residual Cancer Burden: A Multi‐Institutional Cohort Study

Journal of magnetic resonance imaging, 2023-12, Vol.58 (6), p.1739-1749

2023

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Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

Association between rim enhancement of breast cancer on dynamic contrast-enhanced MRI and patient outcome: impact of subtype

Magnetic Resonance Imaging Response Monitoring of Breast Cancer During Neoadjuvant Chemotherapy: Relevance of Breast Cancer Subtype

Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial

Imaging Features of HER2 Overexpression in Breast Cancer: A Systematic Review and Meta-analysis

Volumetric breast density estimation on MRI using explainable deep learning regression

Radiogenomic Analysis of Breast Cancer by Linking MRI Phenotypes with Tumor Gene Expression

Contralateral parenchymal enhancement on breast MRI before and during neoadjuvant endocrine therapy in relation to the preoperative endocrine prognostic index

Detection of extra-axillary lymph node involvement with FDG PET/CT in patients with stage II–III breast cancer

Assessing Quantitative Parenchymal Features at Baseline Dynamic Contrast-enhanced MRI and Cancer Occurrence in Women with Extremely Dense Breasts

Synchronous Breast Cancer: Phenotypic Similarities on MRI

Breast tomosynthesis in clinical practice: initial results

Complementary Value of Contralateral Parenchymal Enhancement on DCE-MRI to Prognostic Models and Molecular Assays in High-risk ER + /HER2 - Breast Cancer

A practical approach to manage additional lesions at preoperative breast MRI in patients eligible for breast conserving therapy: results

Automated rating of background parenchymal enhancement in MRI of extremely dense breasts without compromising the association with breast cancer in the DENSE trial

Association between Parenchymal Enhancement of the Contralateral Breast in Dynamic Contrast-enhanced MR Imaging and Outcome of Patients with Unilateral Invasive Breast Cancer

Survival is associated with complete response on MRI after neoadjuvant chemotherapy in ER-positive HER2-negative breast cancer

Computer-Aided Diagnosis in Multiparametric Magnetic Resonance Imaging Screening of Women With Extremely Dense Breasts to Reduce False-Positive Diagnoses

Validation of Combined Deep Learning Triaging and Computer-Aided Diagnosis in 2901 Breast MRI Examinations From the Second Screening Round of the Dense Tissue and Early Breast Neoplasm Screening Trial

MR-Guided High-Intensity Focused Ultrasound Ablation of Breast Cancer with a Dedicated Breast Platform

Feasibility of FDG PET/CT to monitor the response of axillary lymph node metastases to neoadjuvant chemotherapy in breast cancer patients

Long-term Survival in Breast Cancer Patients Is Associated with Contralateral Parenchymal Enhancement at MRI: Outcomes of the SELECT Study

Agreement on indication for systemic therapy between biopsied tissue and surgical excision specimens in breast cancer patients

Improving prediction of response to neoadjuvant treatment in patients with breast cancer by combining liquid biopsies with multiparametric MRI: protocol of the LIMA study – a multicentre prospective observational cohort study

Deep Learning‐Based Segmentation of Locally Advanced Breast Cancer on MRI in Relation to Residual Cancer Burden: A Multi‐Institutional Cohort Study

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