Comparison of Dynamic Contrast‐Enhanced MRI and Non‐Mono‐Exponential Model‐Based Diffusion‐Weighted Imaging for the Prediction of Prognostic Biomarkers and Molecular Subtypes of Breast Cancer Based on Radiomics

Synthetic MRI with quantitative mappings for identifying receptor status, proliferation rate, and molecular subtypes of breast cancer

(2022) Weibo Gao et al.   EUROPEAN JOURNAL OF RADIOLOGY

Adaptive boost approach for possible leads of triple-negative breast cancer

(2022) Guanxing Chen et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Whole-tumor 3D volumetric MRI-based radiomics approach for distinguishing between benign and malignant soft tissue tumors

(2021) Brandon K. K. Fields et al.   EUROPEAN RADIOLOGY

Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI

(2021) Ji Young Lee et al.   EUROPEAN RADIOLOGY

Short‐Term Repeatability of in Vivo Cardiac Intravoxel Incoherent Motion Tensor Imaging in Healthy Human Volunteers

(2021) Xiu‐Shi Zhang et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Differentiation between Luminal A and B Molecular Subtypes of Breast Cancer Using Pharmacokinetic Quantitative Parameters with Histogram and Texture Features on Preoperative Dynamic Contrast-Enhanced Magnetic Resonance Imaging

(2020) Hong-Bing Luo et al.   ACADEMIC RADIOLOGY

The Impact of Normalization Approaches to Automatically Detect Radiogenomic Phenotypes Characterizing Breast Cancer Receptors Status

(2020) Rossana Castaldo et al.   Cancers

Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics

(2020) Bing Mao et al.   EUROPEAN RADIOLOGY

Non-Invasive Assessment of Breast Cancer Molecular Subtypes with Multiparametric Magnetic Resonance Imaging Radiomics

(2020) Doris Leithner et al.   Journal of Clinical Medicine

Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer

(2019) Joao V. Horvat et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Radiomics analysis for glioma malignancy evaluation using diffusion kurtosis and tensor imaging

(2019) Satoshi Takahashi et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

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

(2019) Chao You et al.   Journal of Translational Medicine

Non-mono-exponential diffusion models for assessing early response of liver metastases to chemotherapy in colorectal Cancer

(2019) Yang Zhou et al.   CANCER IMAGING

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

(2018) Ashirbani Saha et al.   BRITISH JOURNAL OF CANCER

Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter

(2018) Katja Pinker et al.   INVESTIGATIVE RADIOLOGY

Intravoxel Incoherent Motion Diffusion-Weighted MRI of Invasive Breast Cancer: Correlation With Prognostic Factors and Kinetic Features Acquired With Computer-Aided Diagnosis

(2018) Sung Eun Song et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Breast lesion characterization using whole-lesion histogram analysis with stretched-exponential diffusion model

(2017) Chunling Liu et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Multiparametric diffusion-weighted imaging in breast lesions: Association with pathologic diagnosis and prognostic factors

(2017) Shiteng Suo et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Assessment of early treatment response to neoadjuvant chemotherapy in breast cancer using non-mono-exponential diffusion models: a feasibility study comparing the baseline and mid-treatment MRI examinations

(2016) Reem Bedair et al.   EUROPEAN RADIOLOGY

Safety of the Gadolinium-Based Contrast Agents for Magnetic Resonance Imaging, Focusing in Part on Their Accumulation in the Brain and Especially the Dentate Nucleus

(2016) Val M. Runge   INVESTIGATIVE RADIOLOGY

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

(2016) Geert Litjens et al.   Scientific Reports

Evaluation of breast cancer using intravoxel incoherent motion (IVIM) histogram analysis: comparison with malignant status, histological subtype, and molecular prognostic factors

(2015) Gene Young Cho et al.   EUROPEAN RADIOLOGY

Breast MRI radiogenomics: Current status and research implications

(2015) Lars J. Grimm   JOURNAL OF MAGNETIC RESONANCE IMAGING

Computerized Image Analysis for Identifying Triple-Negative Breast Cancers and Differentiating Them from Other Molecular Subtypes of Breast Cancer on Dynamic Contrast-enhanced MR Images: A Feasibility Study

(2014) Shannon C. Agner et al.   RADIOLOGY

St. Gallen 2011: Summary of the Consensus Discussion

(2011) Michael Gnant et al.   Breast Care

Breast Cancer Subtype Approximated by Estrogen Receptor, Progesterone Receptor, and HER-2 Is Associated With Local and Distant Recurrence After Breast-Conserving Therapy

(2008) Paul L. Nguyen et al.   JOURNAL OF CLINICAL ONCOLOGY

Efficient subpixel image registration algorithms

(2008) Manuel Guizar-Sicairos et al.   OPTICS LETTERS