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Giger, Maryellen L.

One or more keywords matched the following items that are connected to Giger, Maryellen L.

Item Type	Name
Academic Article	Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI.
Academic Article	Computerized three-class classification of MRI-based prognostic markers for breast cancer.
Academic Article	Combined use of T2-weighted MRI and T1-weighted dynamic contrast-enhanced MRI in the automated analysis of breast lesions.
Academic Article	Computerized assessment of breast lesion malignancy using DCE-MRI robustness study on two independent clinical datasets from two manufacturers.
Academic Article	Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics.
Academic Article	Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.
Academic Article	Using quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era.
Academic Article	Manganese-enhanced MRI detection of impaired calcium regulation in a mouse model of cardiac hypertrophy.
Academic Article	Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions.
Academic Article	Residual analysis of the water resonance signal in breast lesions imaged with high spectral and spatial resolution (HiSS) MRI: a pilot study.
Academic Article	Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma.
Academic Article	Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set.
Academic Article	Breast density estimation from high spectral and spatial resolution MRI.
Academic Article	Fast bilateral breast coverage with high spectral and spatial resolution (HiSS) MRI at 3T.
Academic Article	Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes.
Academic Article	Relationships Between Human-Extracted MRI Tumor Phenotypes of Breast Cancer and Clinical Prognostic Indicators Including Receptor Status and Molecular Subtype.
Academic Article	Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival "early on" in neoadjuvant treatment of breast cancer.
Academic Article	Use of clinical MRI maximum intensity projections for improved breast lesion classification with deep convolutional neural networks.
Academic Article	Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset.
Award or Honor Receipt	Fellow
Academic Article	Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling.
Academic Article	Artificial intelligence in the interpretation of breast cancer on MRI.
Academic Article	Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients.
Academic Article	Harmonization of radiomic features of breast lesions across international DCE-MRI datasets.
Academic Article	A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI.
Academic Article	Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods.
Academic Article	Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI.
Academic Article	Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset.
Academic Article	Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers.
Academic Article	Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI.
Academic Article	Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI.

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