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Journal of Medical Imaging (Bellingham, Wash.)|September 10, 2016
Digital mammographic tumor classification using transfer learning from deep convolutional neural networksBenjamin Q Huynh, Hui Li, Maryellen L GigerJournal of Medical Imaging (Bellingham, Wash.)|September 20, 2017
Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammogramsHui Li, Maryellen L Giger, Benjamin Q Huynh, et al.Medical Physics|July 7, 2017
A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasetsNatalia Antropova, Benjamin Q Huynh, Maryellen L GigerJournal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Breast lesion classification based on dynamic contrast-enhanced magnetic resonance images sequences with long short-term memory networksNatalia Antropova, Benjamin Huynh, Hui Li, et al.Medical Physics|January 30, 2009
Correlative feature analysis on FFDMYading Yuan, Maryellen L Giger, Hui Li, et al.Seminars in Ultrasound, CT, and MR|November 24, 2004
Computerized analysis of images in the detection and diagnosis of breast cancerMaryellen L GigerJournal of the American College of Radiology : JACR|February 6, 2018
Machine Learning in Medical ImagingMaryellen L GigerAcademic Radiology|April 17, 2007
Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessmentHui Li, Maryellen L Giger, Olufunmilayo I Olopade, et al.Journal of Medical Imaging (Bellingham, Wash.)|July 8, 2026
Comparison of chest X-ray radiography AI model to comorbidities for predicting intensive care unit admission for COVID-19Heather M Whitney, Hui Li, Karen Drukker, et al.Medical Physics|December 13, 2007
A dual-stage method for lesion segmentation on digital mammogramsYading Yuan, Maryellen L Giger, Hui Li, et al.Pageof 1,962