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Differentiation of triple-negative breast cancer from other subtypes through whole-tumor histogram analysis on multiparametric MR imaging

European radiology, 2019-05, Vol.29 (5), p.2535-2544

2019

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Breast Tumor Classification Based on MRI-US Images by Disentangling Modality Features

IEEE journal of biomedical and health informatics, 2022-07, Vol.26 (7), p.3059-3067

2022

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Apparent Diffusion Coefficient (ADC) value: a potential imaging biomarker that reflects the biological features of rectal cancer

PloS one, 2014-10, Vol.9 (10), p.e109371-e109371

2014

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A combined radiomics and clinical variables model for prediction of malignancy in T2 hyperintense uterine mesenchymal tumors on MRI

European radiology, 2021-08, Vol.31 (8), p.6125-6135

2021

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Diagnostic performance of perilesional radiomics analysis of contrast-enhanced mammography for the differentiation of benign and malignant breast lesions

European radiology, 2022, Vol.32 (1), p.639-649

2022

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Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogram

European radiology, 2021-10, Vol.31 (10), p.7855-7864

2021

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Improved value of whole-lesion histogram analysis on DCE parametric maps for diagnosing small breast cancer (≤ 1 cm)

European radiology, 2022-03, Vol.32 (3), p.1634-1643

2022

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A short-term follow-up CT based radiomics approach to predict response to immunotherapy in advanced non-small-cell lung cancer

Oncoimmunology, 2022-12, Vol.11 (1), p.2028962-2028962

2022

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Fibroglandular Tissue and Background Parenchymal Enhancement on Breast MR Imaging Correlates With Breast Cancer

Frontiers in oncology, 2021-09, Vol.11, p.616716-616716

2021

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Dynamic contrast-enhanced MRI: Use in predicting pathological complete response to neoadjuvant chemoradiation in locally advanced rectal cancer

Journal of magnetic resonance imaging, 2015-09, Vol.42 (3), p.673-680

2015

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The volumetric-tumour histogram-based analysis of intravoxel incoherent motion and non-Gaussian diffusion MRI: association with prognostic factors in HER2-positive breast cancer

Journal of translational medicine, 2019-07, Vol.17 (1), p.182-182, Article 182

2019

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Machine Learning-Based Analysis of MR Multiparametric Radiomics for the Subtype Classification of Breast Cancer

Frontiers in oncology, 2019-06, Vol.9, p.505-505

2019

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Radiomic analysis reveals diverse prognostic and molecular insights into the response of breast cancer to neoadjuvant chemotherapy: a multicohort study

Journal of translational medicine, 2024-07, Vol.22 (1), p.637-15, Article 637

2024

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Automatic prediction of non-iodine-avid status in lung metastases for radioactive I131 treatment in differentiated thyroid cancer patients

Frontiers in endocrinology (Lausanne), 2024-06, Vol.15, p.1429115

2024

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A "Seed-and-Soil" Radiomics Model Predicts Brain Metastasis Development in Lung Cancer: Implications for Risk-Stratified Prophylactic Cranial Irradiation

Cancers, 2023-01, Vol.15 (1), p.307

2023

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Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer

BMC medical imaging, 2024-06, Vol.24 (1), p.1-11

2024

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Feasibility study of dual parametric 2D histogram analysis of breast lesions with dynamic contrast-enhanced and diffusion-weighted MRI

Journal of translational medicine, 2018-11, Vol.16 (1), p.325-325, Article 325

2018

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Differentiating between benign and malignant breast lesions using dual-energy CT-based model: development and validation

Insights into imaging, 2024-07, Vol.15 (1), p.173-12, Article 173

2024

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Evaluation of Salivary Gland Function Using Diffusion-Weighted Magnetic Resonance Imaging for Follow-Up of Radiation-Induced Xerostomia

Korean Journal of Radiology, 2018, 19(4), , pp.758-766

2018

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Radiomics of Tumor Heterogeneity in Longitudinal Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer

Frontiers in molecular biosciences, 2021-03, Vol.8, p.622219

2021

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A preoperative radiogenomic model based on quantitative heterogeneity for predicting outcomes in triple-negative breast cancer patients who underwent neoadjuvant chemotherapy

Cancer imaging, 2024-07, Vol.24 (1), p.98-14, Article 98

2024

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Impact of menopausal status on background parenchymal enhancement and fibroglandular tissue on breast MRI

European radiology, 2012-12, Vol.22 (12), p.2641-2647

2012

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Evaluation of Background Parenchymal Enhancement and Histogram-Based Diffusion-Weighted Image in Determining the Molecular Subtype of Breast Cancer

Journal of computer assisted tomography, 2021-09, Vol.45 (5), p.711

2021

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High relaxivity Gd3+-based organic nanoparticles for efficient magnetic resonance angiography

Journal of nanobiotechnology, 2022-03, Vol.20 (1), p.1-170, Article 170

2022

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Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model

Cancer imaging, 2024-01, Vol.24 (1), p.1-1, Article 1

2024

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Differentiation of triple-negative breast cancer from other subtypes through whole-tumor histogram analysis on multiparametric MR imaging

Breast Tumor Classification Based on MRI-US Images by Disentangling Modality Features

Apparent Diffusion Coefficient (ADC) value: a potential imaging biomarker that reflects the biological features of rectal cancer

A combined radiomics and clinical variables model for prediction of malignancy in T2 hyperintense uterine mesenchymal tumors on MRI

Diagnostic performance of perilesional radiomics analysis of contrast-enhanced mammography for the differentiation of benign and malignant breast lesions

Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogram

Improved value of whole-lesion histogram analysis on DCE parametric maps for diagnosing small breast cancer (≤ 1 cm)

A short-term follow-up CT based radiomics approach to predict response to immunotherapy in advanced non-small-cell lung cancer

Fibroglandular Tissue and Background Parenchymal Enhancement on Breast MR Imaging Correlates With Breast Cancer

Dynamic contrast-enhanced MRI: Use in predicting pathological complete response to neoadjuvant chemoradiation in locally advanced rectal cancer

The volumetric-tumour histogram-based analysis of intravoxel incoherent motion and non-Gaussian diffusion MRI: association with prognostic factors in HER2-positive breast cancer

Machine Learning-Based Analysis of MR Multiparametric Radiomics for the Subtype Classification of Breast Cancer

Radiomic analysis reveals diverse prognostic and molecular insights into the response of breast cancer to neoadjuvant chemotherapy: a multicohort study

Automatic prediction of non-iodine-avid status in lung metastases for radioactive I131 treatment in differentiated thyroid cancer patients

A "Seed-and-Soil" Radiomics Model Predicts Brain Metastasis Development in Lung Cancer: Implications for Risk-Stratified Prophylactic Cranial Irradiation

Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer

Feasibility study of dual parametric 2D histogram analysis of breast lesions with dynamic contrast-enhanced and diffusion-weighted MRI

Differentiating between benign and malignant breast lesions using dual-energy CT-based model: development and validation

Evaluation of Salivary Gland Function Using Diffusion-Weighted Magnetic Resonance Imaging for Follow-Up of Radiation-Induced Xerostomia

Radiomics of Tumor Heterogeneity in Longitudinal Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer

A preoperative radiogenomic model based on quantitative heterogeneity for predicting outcomes in triple-negative breast cancer patients who underwent neoadjuvant chemotherapy

Impact of menopausal status on background parenchymal enhancement and fibroglandular tissue on breast MRI

Evaluation of Background Parenchymal Enhancement and Histogram-Based Diffusion-Weighted Image in Determining the Molecular Subtype of Breast Cancer

High relaxivity Gd3+-based organic nanoparticles for efficient magnetic resonance angiography

Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model

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