Maryellen Giger to Retrospective Studies
This is a "connection" page, showing publications Maryellen Giger has written about Retrospective Studies.
Connection Strength
0.924
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Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound. Int J Comput Assist Radiol Surg. 2025 Feb; 20(2):259-267.
Score: 0.081
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Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI. Med Phys. 2024 Mar; 51(3):1812-1821.
Score: 0.074
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Machine Learning for Early Detection of Hypoxic-Ischemic Brain Injury After Cardiac Arrest. Neurocrit Care. 2022 06; 36(3):974-982.
Score: 0.065
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Robustness of radiomic features of benign breast lesions and hormone receptor positive/HER2-negative cancers across DCE-MR magnet strengths. Magn Reson Imaging. 2021 10; 82:111-121.
Score: 0.063
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A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI. Sci Rep. 2020 06 29; 10(1):10536.
Score: 0.059
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Digital Mammography in Breast Cancer: Additive Value of Radiomics of Breast Parenchyma. Radiology. 2019 04; 291(1):15-20.
Score: 0.054
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Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography. Acad Radiol. 2019 06; 26(6):735-743.
Score: 0.052
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Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset. Acad Radiol. 2019 02; 26(2):202-209.
Score: 0.051
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A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets. Med Phys. 2017 Oct; 44(10):5162-5171.
Score: 0.048
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MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays. Radiology. 2016 Nov; 281(2):382-391.
Score: 0.044
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Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers. AJR Am J Roentgenol. 2016 Jun; 206(6):1341-50.
Score: 0.044
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Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts. Acad Radiol. 2013 Jul; 20(7):847-53.
Score: 0.036
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Hybrid artificial intelligence echogenic components-based diagnosis of adnexal masses on ultrasound. Med Phys. 2025 Jul; 52(7):e17983.
Score: 0.021
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Brain Imaging Features in Patients with Gunshot Wounds to the Head. J Neurotrauma. 2025 Apr; 42(7-8):689-699.
Score: 0.020
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Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study. J Xray Sci Technol. 2024; 32(6):1465-1480.
Score: 0.019
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Pilot study of machine learning in the task of distinguishing high and low-grade pediatric hydronephrosis on ultrasound. Investig Clin Urol. 2023 11; 64(6):588-596.
Score: 0.019
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Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology. 2023 04; 307(1):e220984.
Score: 0.018
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Tailoring steroids in the treatment of COVID-19 pneumonia assisted by CT scans: three case reports. J Xray Sci Technol. 2020; 28(5):885-892.
Score: 0.014
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Long-term results of microcoil embolization for colonic haemorrhage: how common is rebleeding? Br J Radiol. 2015 Jul; 88(1051):20150203.
Score: 0.010
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Radiologically Guided Placement of Mushroom-retained Gastrostomy Catheters: Long-term Outcomes of Use in 300 Patients at a Single Center. Radiology. 2015 Aug; 276(2):588-96.
Score: 0.010
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Dual-lumen chest port infection rates in patients with head and neck cancer. Cardiovasc Intervent Radiol. 2015 Jun; 38(3):651-6.
Score: 0.010
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Comparison of barbed versus conventional sutures for wound closure of radiologically implanted chest ports. J Vasc Interv Radiol. 2014 Sep; 25(9):1433-8.
Score: 0.010
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Validation of quantitative analysis of multiparametric prostate MR images for prostate cancer detection and aggressiveness assessment: a cross-imager study. Radiology. 2014 May; 271(2):461-71.
Score: 0.009
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Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients. Int J Comput Assist Radiol Surg. 2013 Nov; 8(6):895-903.
Score: 0.009
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Quantitative analysis of multiparametric prostate MR images: differentiation between prostate cancer and normal tissue and correlation with Gleason score--a computer-aided diagnosis development study. Radiology. 2013 Jun; 267(3):787-96.
Score: 0.009
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Computerized analysis of mammographic parenchymal patterns on a large clinical dataset of full-field digital mammograms: robustness study with two high-risk datasets. J Digit Imaging. 2012 Oct; 25(5):591-8.
Score: 0.009
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A scaling transformation for classifier output based on likelihood ratio: applications to a CAD workstation for diagnosis of breast cancer. Med Phys. 2012 May; 39(5):2787-804.
Score: 0.008
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Normal parenchymal enhancement patterns in women undergoing MR screening of the breast. Eur Radiol. 2011 Jul; 21(7):1374-82.
Score: 0.008
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Evaluation of clinical breast MR imaging performed with prototype computer-aided diagnosis breast MR imaging workstation: reader study. Radiology. 2011 Mar; 258(3):696-704.
Score: 0.008
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Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers. Radiology. 2010 Mar; 254(3):680-90.
Score: 0.007
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Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset. Acad Radiol. 2008 Nov; 15(11):1437-45.
Score: 0.007
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Prevalence scaling: applications to an intelligent workstation for the diagnosis of breast cancer. Acad Radiol. 2008 Nov; 15(11):1446-57.
Score: 0.007
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Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment. J Digit Imaging. 2008 Jun; 21(2):145-52.
Score: 0.006
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Classification of breast lesions with multimodality computer-aided diagnosis: observer study results on an independent clinical data set. Radiology. 2006 Aug; 240(2):357-68.
Score: 0.006
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Robustness of computerized lesion detection and classification scheme across different breast US platforms. Radiology. 2005 Dec; 237(3):834-40.
Score: 0.005
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Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography. Acad Radiol. 2004 Mar; 11(3):272-80.
Score: 0.005