J. Sumkin

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Assessing radiologist performance using combined digital mammography and breast tomosynthesis compared with digital mammography alone: results of a multicenter, multireader trial.

E. Halpern, L. Niklason, L. Philpotts, 2013, Radiology.

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

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

A GMM-based breast cancer risk stratification using a resonance-frequency electrical impedance spectroscopy.

David Gur, Bin Zheng, Dror Lederman, 2011, Medical physics.

Changes in breast cancer detection and mammography recall rates after the introduction of a computer-aided detection system.

Luisa P. Wallace, H. Rockette, D. Gur, 2004, Journal of the National Cancer Institute.

The "laboratory" effect: comparing radiologists' performance and variability during prospective clinical and laboratory mammography interpretations.

Luisa P. Wallace, Andriy I. Bandos, H. Rockette, 2008, Radiology.

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

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

Mammography with computer-aided detection: reproducibility assessment initial experience.

Bin Zheng, Jules H Sumkin, Lara A Hardesty, 2003, Radiology.

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.

CAD in screening mammography.

D. Gur, J. Sumkin, 2006, AJR. American journal of roentgenology.

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.

Breast Imaging Modalities for Pathologists

J. Sumkin, C. Hakim, M. Ganott, 2012 .

Contralateral uptake and metastases in sentinel lymph node mapping for recurrent breast cancer

D. Heron, J. Sumkin, J. Falk, 2005, Journal of surgical oncology.

Re: Computer-aided detection of breast cancer: has promise outstripped performance?

H. Rockette, D. Gur, J. Sumkin, 2004, Journal of the National Cancer Institute.

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.

Use of preoperative MR imaging in the management of endometrial carcinoma: cost analysis.

J. Sumkin, L. Hardesty, T. Chang, 2000, Radiology.

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.

Predicting Cell Line Invasion in Breast Tumor Microenvironment from Radiological Imaging Phenotypes

J. Sumkin, Shandong Wu, D. Arefan, 2020 .

Screening mammography: do women prefer a higher recall rate given the possibility of earlier detection of cancer?

David Gur, Jill L King, Amy H Klym, 2006, Radiology.

Computer-aided detection with screening mammography: improving performance or simply shifting the operating point?

David Gur, Jules H Sumkin, D. Gur, 2006, Radiology.

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.

Trends in recall, biopsy, and positive biopsy rates for screening mammography in an academic practice.

David Gur, Amy H Klym, Jules H Sumkin, 2005, Radiology.

Recall and detection rates in screening mammography

David Gur, Luisa P. Wallace, Ratan Shah, 2004, Cancer.

Directed and nondirected AP chest in the ICU: potential added value with electronic systems

David Gur, Carl R. Fuhrman, Jules H. Sumkin, 1993, 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.

Optimal reference mammography: a comparison of mammograms obtained 1 and 2 years before the present examination.

David Gur, Marie A Ganott, Jules H Sumkin, 2003, AJR. American journal of roentgenology.

Is maximum positive predictive value a good indicator of an optimal screening mammography practice?

D. Gur, J. Sumkin, A. Klym, 2005, AJR. American journal of roentgenology.

The Clinical Significance of Lobular Neoplasia on Breast Core Biopsy

D. Dabbs, J. Sumkin, Ronald R. Johnson, 2007, The American journal of surgical pathology.

Core Breast Biopsies Showing Lobular Carcinoma In Situ Should Be Excised and Surveillance Is Reasonable for Atypical Lobular Hyperplasia.

R. Hooley, J. Sumkin, W. Berg, 2016, AJR. American journal of roentgenology.

Re: Computer-aided detection of breast cancer: has promise outstripped performance?

H. Rockette, D. Gur, J. Sumkin, 2004, Journal of the National Cancer Institute.

Sentinel lymph node biopsy in early-stage cervical cancer: utility of intraoperative versus postoperative assessment.

J. Sumkin, A. Fader, L. Rohan, 2008, Gynecologic oncology.

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.

Complete clinical responses to neoadjuvant chemotherapy for uterine serous carcinoma.

J. Sumkin, F. Price, R. M. Amin, 1999, Gynecologic oncology.

New screening technologies and practices: a different approach to estimation of performance improvement by using data from the transition period.

R. Nishikawa, D. Gur, J. Sumkin, 2015, Radiology.

Prospective screening study of 0.5 Tesla dedicated magnetic resonance imaging for the detection of breast cancer in young, high-risk women

W. Rubinstein, J. Sumkin, V. Vogel, 2006, BMC women's health.

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

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

Epidural labor analgesia for a patient with disseminated lymphangiomatosis.

J. Sumkin, S. Ramanathan, G. Mandell, 2003, Anesthesia and analgesia.

Agreement of the order of overall performance levels under different reading paradigms.

David Gur, Howard E Rockette, Amy H Klym, 2008, Academic radiology.

Sclerosing peritonitis associated with luteinized thecomas.

J. Sumkin, R. Reginella, 1996, AJR. American journal of roentgenology.

Binary and multi-category ratings in a laboratory observer performance study: a comparison.

David Gur, Howard E Rockette, Jill L King, 2008, Medical physics.

Observer performance studies: detection of single versus multiple abnormalities of the chest.

David Gur, Howard E Rockette, Jules H Sumkin, 2002, AJR. American journal of roentgenology.

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

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

Lactating adenoma: US features and literature review.

J. Sumkin, K. M. Harris, M. Nath, 1998, Radiology.

CT appearance of the Roux limb following choledochojejunostomy in liver transplantation

J. Sumkin, W. L. Campbell, D. P. Greenler, 2005, Gastrointestinal Radiology.

Automated large-core needle biopsy of surgically removed breast lesions: comparison of samples obtained with 14-, 16-, and 18-gauge needles.

J. Sumkin, D. Chough, M. Nath, 1995, Radiology.

Predictors of Residual Invasive Disease after Core Needle Biopsy Diagnosis of Ductal Carcinoma In Situ

D. Dabbs, A. Soran, J. Sumkin, 2007, The breast journal.

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

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

Radiology corner. Answer to last month's radiology case (# 44) and image: lithopedion.

J. Sumkin, L. Hill, R. Jesinger, 2010, Military medicine.

Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance

Shandong Wu, Lei Zhang, Degan Hao, 2020, IEEE Journal of Biomedical and Health Informatics.

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.

Preliminary clinical evaluation of a multi-site telemammography system in a screening mammography environment

Deborah Craig, Lara A. Hardesty, Christiane M. Hakim, 2003, SPIE Medical Imaging.

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.

Axillary Lymph Node Burden in Invasive Breast Cancer: A Comparison of the Predictive Value of Ultrasound-Guided Needle Biopsy and Sentinel Lymph Node Biopsy.

A. Soran, J. Sumkin, B. Boone, 2015, Clinical breast cancer.

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.

Effects of lesion conspicuity on visual search in mammogram reading.

Jules Sumkin, Claudia Mello-Thoms, Lara Hardesty, 2005, Academic radiology.

Computer-aided detection performance in mammographic examination of masses: assessment.

David Gur, Bin Zheng, Howard E Rockette, 2004, Radiology.

Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis

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

Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study

Shandong Wu, Jules Sumkin, Kadie Clancy, 2020, Journal of Digital 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.

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.

Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes

J. Sumkin, Shandong Wu, D. Arefan, 2021, BMC cancer.

Diagnostic accuracy and recall rates for digital mammography and digital mammography combined with one-view and two-view tomosynthesis: results of an enriched reader study.

Jules H Sumkin, Elkan F Halpern, Elizabeth A Rafferty, 2014, AJR. American journal of roentgenology.

Transvaginal Drainage of Pelvic Abscesses and Collections Using Transabdominal Ultrasound Guidance

J. Sumkin, K. Ching, 2015, Obstetrics and gynecology international.

Effects of luminance and resolution on observer performance with chest radiographs.

H E Rockette, D Gur, W L Campbell, 2000, Radiology.

Effect of the Availability of Prior Full-Field Digital Mammography and Digital Breast Tomosynthesis Images on the Interpretation of Mammograms.

David Gur, Andriy I Bandos, Christiane M Hakim, 2015, Radiology.

Screening for early detection of breast cancer: overdiagnosis versus suboptimal patient management.

D. Gur, J. Sumkin, 2013, Radiology.

Integrated 2D and 3D mammography.

J. Sumkin, 2013, The Lancet. Oncology.

The ability of helical CT to preoperatively stage endometrial carcinoma.

L A Hardesty, J H Sumkin, J. Sumkin, 2001, AJR. American journal of roentgenology.

Performance change of mammographic CAD schemes optimized with most-recent and prior image databases.

David Gur, Bin Zheng, Jules H Sumkin, 2003, Academic radiology.

Deep-learning method for tumor segmentation in breast DCE-MRI

Shandong Wu, Jules H. Sumkin, Lei Zhang, 2019, Medical Imaging.

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.

Preliminary clinical evaluation of a high-resolution telemammography system.

D Gur, C M Hakim, J H Sumkin, 1997, Investigative radiology.

Interactive computer-aided diagnosis of breast masses: computerized selection of visually similar image sets from a reference library.

Claudia Mello-Thoms, David Gur, Bin Zheng, 2007, Academic radiology.

Actual versus intended use of CAD systems in the clinical environment

David Gur, Bin Zheng, Christiane M. Hakim, 2006, SPIE Medical Imaging.

A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environment.

David Gur, Bin Zheng, Amy Lu, 2005, Medical physics.

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.

Relationship of subjective ratings of image quality and observer performance

Jill L. King, David Gur, Howard E. Rockette, 1997, Medical Imaging.

A Multisite Telemammography System for Remote Management of Screening Mammography: An Assessment of Technical, Operational, and Clinical Issues

David Gur, Glenn S. Maitz, Christiane M. Hakim, 2006, Journal of Digital Imaging.

Design considerations for a multisite POTS-based telemammography system

David Gur, Glenn S. Maitz, Bin Zheng, 2002, SPIE Medical Imaging.

Different Search Patterns and Similar Decision Outcomes: How Can Experts Agree in the Decisions They Make When Reading Digital Mammograms?

Claudia Mello-Thoms, Christiane M. Hakim, Jules H. Sumkin, 2008, Digital Mammography / IWDM.

Contemporary Radiologic Percutaneous Abscess Drainage in the Pelvis

J. Sumkin, C. M. Johns, NINA L. FABISZEWSKI, 1993, Clinical obstetrics and gynecology.

Fusion of classifiers for REIS-based detection of suspicious breast lesions

David Gur, Bin Zheng, Jules H. Sumkin, 2011, Medical Imaging.

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.

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

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

Stereo CT image compositing methods for lung nodule detection and characterization.

Xiao Hui Wang, Jules H Sumkin, Walter F Good, 2005, Academic radiology.

Prescreening mammography by technologists: a preliminary assessment.

Herta M. Klaman, D. Gur, J. Sumkin, 2003, AJR. American journal of roentgenology.