M. Zuley

发表

Bilateral mammographic density asymmetry and breast cancer risk: a preliminary assessment.

B. Zheng, D. Gur, Xingwei Wang, 2012, European journal of radiology.

Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set

Erich P Huang, E. Burnside, C. Fan, 2016, npj Breast Cancer.

Using computer‐extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage

Erich P Huang, E. Burnside, M. Giger, 2016, Cancer.

Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening

Aly A. Mohamed, J. Sumkin, M. Zuley, 2018, Clinical Cancer Research.

Computer-aided detection of breast masses depicted on full-field digital mammograms: a performance assessment.

B Zheng, D Gur, J H Sumkin, 2012, The British journal of radiology.

Digital breast tomosynthesis: observer performance study.

David Gur, Andriy I Bandos, Margarita L Zuley, 2009, AJR. American journal of roentgenology.

Dose reduction in digital breast tomosynthesis (DBT) screening using synthetically reconstructed projection images: an observer performance study.

David Gur, Andriy I Bandos, Margarita L Zuley, 2012, Academic radiology.

High-dimensional regression analysis links magnetic resonance imaging features and protein expression and signaling pathway alterations in breast invasive carcinoma

E. Burnside, K. Brandt, A. Rao, 2018, Oncoscience.

Detection of breast abnormalities using a prototype resonance electrical impedance spectroscopy system: A preliminary study.

David Gur, Bin Zheng, Margarita L Zuley, 2008, Medical physics.

Can computer-aided detection with double reading of screening mammograms help decrease the false-negative rate? Initial experience.

Margarita L Zuley, Wende Logan-Young, Kathy M Willison, 2004, Radiology.

Positioning in Mammography

M. Zuley, Shireen L. Braner, 2011 .

DCE-MRI Background Parenchymal Enhancement Quantified from an Early versus Delayed Post-contrast Sequence: Association with Breast Cancer Presence

D. Gur, B. Kurland, J. Sumkin, 2017, Scientific Reports.

Full-field digital mammography on LCD versus CRT monitors.

Kathy M Willison, M. Zuley, S. Destounis, 2006, AJR. American journal of roentgenology.

ACR Statement on Safe Resumption of Routine Radiology Care During the Coronavirus Disease 2019 (COVID-19) Pandemic

Michael A. Bruno, M. Recht, I. Pedrosa, 2020, Journal of the American College of Radiology.

Machine learning prediction of axillary lymph node metastasis in breast cancer: 2D versus 3D radiomic features.

M. Zuley, Shandong Wu, Ruimei Chai, 2020, Medical physics.

Communicating With Breast Imaging Patients During the COVID-19 Pandemic: Impact on Patient Care and Physician Wellness

Lars J. Grimm, L. Grimm, H. Milch, 2022, Journal of breast imaging.

Ultrasound Guided Core Biopsy versus Fine Needle Aspiration for Evaluation of Axillary Lymphadenopathy in Patients with Breast Cancer

Andriy I. Bandos, Amy E. Kelly, Gordon Abrams, 2014, ISRN oncology.

Diagnostic Performance of MRI, Molecular Breast Imaging, and Contrast-enhanced Mammography in Women with Newly Diagnosed Breast Cancer.

Andriy I. Bandos, Amy E. Kelly, D. Gur, 2019, Radiology.

Relationships Between Human-Extracted MRI Tumor Phenotypes of Breast Cancer and Clinical Prognostic Indicators Including Receptor Status and Molecular Subtype.

E. Burnside, M. Giger, K. Brandt, 2019, Current problems in diagnostic radiology.

Linkage of the ACR National Mammography Database to the Network of State Cancer Registries: Proof of Concept Evaluation by the ACR National Mammography Database Committee.

E. Burnside, R. Nishikawa, D. Gur, 2019, Journal of the American College of Radiology : JACR.

Oculomotor behavior of radiologists reading digital breast tomosynthesis (DBT)

Robert M. Nishikawa, Jeremy M. Wolfe, Nicholas M. D'Ardenne, 2019, Medical Imaging.

Electrical impedance scanning for the early detection of breast cancer in young women: preliminary results of a multicenter prospective clinical trial.

David Gur, Scott Fields, Sarah Lenington, 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Recall Rate Reduction with Tomosynthesis During Baseline Screening Examinations: An Assessment From a Prospective Trial.

David Gur, Andriy I Bandos, Margarita L Zuley, 2015, Academic radiology.

Can a limited double reading/second opinion of initially recalled breast ultrasound screening examinations improve radiologists' performances?

David Gur, Margarita L. Zuley, Christiane M. Hakim, 2018, Medical Imaging.

Digital Breast Tomosynthesis versus supplemental Diagnostic Mammographic Views for evaluation of noncalcified Breast lesions 1

Andriy I. Bandos, Victor J. Catullo, Amy E. Kelly, 2012 .

Assembling a prototype resonance electrical impedance spectroscopy system for breast tissue signal detection: preliminary assessment

David Gur, Walter F. Good, Bin Zheng, 2008, SPIE Medical Imaging.

COVID-19 and Breast Radiologist Wellness: Impact of Gender, Financial Loss, and Childcare Need

Lars J. Grimm, L. Grimm, H. Milch, 2021, Journal of the American College of Radiology.

Isolated Flat Epithelial Atypia on Core Biopsy Specimens Is Associated With a Low Risk of Upgrade at Excision

D. Dabbs, M. Zuley, R. Bhargava, 2019, American journal of clinical pathology.

Author's Reply.

M. Zuley, 2019, Journal of the American College of Radiology : JACR.

The basics and implementation of digital mammography.

M. Zuley, 2010, Radiologic clinics of North America.

Frequency of carcinoma at secondary imaging-guided percutaneous breast biopsy performed after a high-risk pathologic result at primary biopsy.

M. Ganott, M. Zuley, S. Majewski, 2013, AJR. American journal of roentgenology.

Risk of malignancy when microscopic radial scars and microscopic papillomas are found at percutaneous biopsy.

J. Sumkin, M. Ganott, M. Zuley, 2012, AJR. American journal of roentgenology.

Association of Patient Age With Outcomes of Current-Era, Large-Scale Screening Mammography: Analysis of Data From the National Mammography Database

E. Burnside, E. Sickles, M. Bhargavan-Chatfield, 2017, JAMA oncology.

Radioactive seed localization versus wire localization for lumpectomies: a comparison of outcomes.

A. Soran, M. Ganott, M. Zuley, 2015, AJR. American journal of roentgenology.

IHE: What Is It and What Does It Have To Do with Mammography?

M. Zuley, 2006 .

Development and Assessment of a Multidisciplinary Radiology ContrastReaction Training Course: Our Experience and Future Directions.

M. Zuley, Deborah Farkas, P. Orons, 2017, Current problems in diagnostic radiology.

Impact of the COVID-19 Pandemic on Breast Imaging: An Analysis of the National Mammography Database

Lars J. Grimm, L. Grimm, R. Rosenberg, 2022, Journal of the American College of Radiology.

Lack of agreement between radiologists: implications for image-based model observers

Ingrid Reiser, John M Boone, Juhun Lee, 2017, Journal of medical imaging.

Digital breast tomosynthesis versus supplemental diagnostic mammographic views for evaluation of noncalcified breast lesions.

David Gur, Andriy I Bandos, Margarita L Zuley, 2013, Radiology.

Mammographic Changes after Fat Transfer to the Breast Compared with Changes after Breast Reduction: A Blinded Study

J. Rubin, M. Zuley, K. Harii, 2012, Plastic and reconstructive surgery.

Deep learning modeling using normal mammograms for predicting breast cancer risk.

Shandong Wu, Margarita L Zuley, Jules H Sumkin, 2019, Medical physics.

Personalising therapy for early-stage oestrogen receptor-positive breast cancer in older women

Adrian V. Lee, M. Lotze, S. Oesterreich, 2022, The Lancet. Healthy longevity.

Impact of COVID-19 on Breast Imaging Practice Operations and Recovery Efforts: A North American Study

Lars J. Grimm, H. Milch, V. Dialani, 2021 .

Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes

Maryellen L. Giger, Karen Drukker, Gary J. Whitman, 2017, European Radiology Experimental.

Risk-Based Screening Mammography for Women Aged <40: Outcomes From the National Mammography Database.

E. Pisano, E. Sickles, M. Zuley, 2020, Journal of the American College of Radiology : JACR.

Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.

Kyle J Myers, Berkman Sahiner, Heang-Ping Chan, 2012, Academic radiology.

Breast MRI contrast enhancement kinetics of normal parenchyma correlate with presence of breast cancer

R. Nishikawa, D. Gur, B. Kurland, 2016, Breast Cancer Research.

Comparison of two-dimensional synthesized mammograms versus original digital mammograms alone and in combination with tomosynthesis images.

Andriy I Bandos, Margarita L Zuley, Denise M Chough, 2014, Radiology.

Detection and classification of calcifications on digital breast tomosynthesis and 2D digital mammography: a comparison.

David Gur, Margarita L Zuley, Denise M Chough, 2011, AJR. American journal of roentgenology.

Digital breast tomosynthesis in the diagnostic environment: A subjective side-by-side review.

David Gur, Margarita L. Zuley, Christiane M. Hakim, 2010, AJR. American journal of roentgenology.

A machine and human reader study on AI diagnosis model safety under attacks of adversarial images

M. Zuley, Yuan Guo, Shandong Wu, 2021, Nature Communications.

Cancer Yield and Patterns of Follow-up for BI-RADS Category 3 after Screening Mammography Recall in the National Mammography Database.

E. Burnside, E. Sickles, R. Rosenberg, 2020, Radiology.

Grouped Amorphous Calcifications at Mammography: Frequently Atypical but Rarely Associated with Aggressive Malignancy.

M. Zuley, W. Berg, Maria I Anello, 2018, Radiology.

Localized detection and classification of abnormalities on FFDM and tomosynthesis examinations rated under an FROC paradigm.

David Gur, Howard E Rockette, Andriy I Bandos, 2011, AJR. American journal of roentgenology.

Time to diagnosis and performance levels during repeat interpretations of digital breast tomosynthesis: preliminary observations.

David Gur, Howard E Rockette, Andriy I Bandos, 2010, Academic radiology.

Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis

Shandong Wu, Margarita L. Zuley, Jules H. Sumkin, 2021, MICCAI.

Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction

Shandong Wu, Margarita L. Zuley, Ruimei Chai, 2019, Medical Imaging.

Is an ROC-type response truly always better than a binary response in observer performance studies?

David Gur, Howard E Rockette, Andriy I Bandos, 2010, Academic radiology.

Training Radiologists to Interpret Contrast-enhanced Mammography: Toward a Standardized Lexicon

M. Zuley, W. Berg, U. Waheed, 2021 .

Contrast-enhanced Mammography-guided Biopsy: Initial Trial and Experience

Amy E. Kelly, Amy Lu, J. Sumkin, 2023, Journal of Breast Imaging.

Contrast Enhanced Digital Mammography (CEDM) Helps to Safely Reduce Benign Breast Biopsies for Low to Moderately Suspicious Soft Tissue Lesions.

Amy E. Kelly, D. Gur, Gordon Abrams, 2020, Academic radiology.

DCE-MRI Background Parenchymal Enhancement Quantified from an Early versus Delayed Post-contrast Sequence: Association with Breast Cancer Presence

D. Gur, B. Kurland, J. Sumkin, 2017, Scientific Reports.

Persistent breast pain in post-surgery breast cancer survivors and women with no history of breast surgery or cancer: associations with pain catastrophizing, perceived breast cancer risk, breast cancer worry, and emotional distress

M. Soo, C. Skinner, M. Zuley, 2019, Acta oncologica.

MRI Staging After Neoadjuvant Chemotherapy for Breast Cancer: Does Tumor Biology Affect Accuracy?

A. Soran, M. Zuley, R. Bhargava, 2011, Annals of Surgical Oncology.

Full-Field Digital Mammography Workflow

M. Zuley, J. Parikh, 2006 .

Confocal Microscopy of Unfixed Breast Needle Core Biopsies: A Comparison to Fixed and Stained Sections

James M Zavislan, Christi Alessi Fox, Linda M Schiffhauer, 2009, BMC Cancer.

Barriers to Implementation of Contrast-Enhanced Mammography in Clinical Practice: AJR Expert Panel Narrative Review.

M. Zuley, T. V. van Nijnatten, M. Lobbes, 2022, AJR. American journal of roentgenology.

Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification

A. Panigrahy, Chang Liu, M. Zuley, 2021, ArXiv.

Deep learning of longitudinal mammogram examinations for breast cancer risk prediction

J. Sumkin, M. Zuley, W. Berg, 2022, Pattern Recognit..

Persistent Breast Pain Among Women With Histories of Breast-conserving Surgery for Breast Cancer Compared With Women Without Histories of Breast Surgery or Cancer

M. Soo, C. Skinner, J. Sumkin, 2017, The Clinical journal of pain.

Prospective Multicenter Diagnostic Performance of Technologist-Performed Screening Breast Ultrasound After Tomosynthesis in Women With Dense Breasts (the DBTUST)

Amy E. Kelly, Cathy S. Tyma, Amy Lu, 2023, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Assessment of the relationship between lesion segmentation accuracy and computer-aided diagnosis scheme performance

David Gur, Margarita L. Zuley, Bin Zheng, 2008, SPIE Medical Imaging.

A preliminary evaluation of multi-probe resonance-frequency electrical impedance based measurements of the breast.

David Gur, Bin Zheng, Dror Lederman, 2011, Academic radiology.

A support vector machine designed to identify breasts at high risk using multi-probe generated REIS signals: a preliminary assessment

David Gur, Margarita L. Zuley, Bin Zheng, 2010, Medical Imaging.

Issues to consider in converting to digital mammography.

Etta D Pisano, Helga S Marques, Margarita Zuley, 2007, Radiologic clinics of North America.

Utilization and Cancer Yield of Probably Benign Assessment Category in the National Mammography Database: 2009 to 2018.

M. Bhargavan-Chatfield, M. Zuley, W. Berg, 2022, Journal of the American College of Radiology : JACR.

Developing and testing a multi-probe resonance electrical impedance spectroscopy system for detecting breast abnormalities

David Gur, Bin Zheng, Margarita L. Zuley, 2009, Medical Imaging.

Detection of breast abnormalities using a prototype resonance electrical impedance spectroscopy system: a preliminary study.

David Gur, Bin Zheng, Margarita L Zuley, 2008, Medical physics.

Adversarially Robust Feature Learning for Breast Cancer Diagnosis

M. Zuley, D. Arefan, Degan Hao, 2024, 2402.08768.

Deep curriculum learning in task space for multi-class based mammography diagnosis

J. Sumkin, M. Zuley, Shandong Wu, 2021, Medical Imaging.