Dr. Liu received her Ph.D. in Bioengineering from the University of Pennsylvania in 2006, where she developed a patented automated technique for optimal boundary detection in medical images. Dr. Liu holds an MS and BS in Electronic Engineering from Beijing Normal University in China. Her research interests include medical image analysis in general with a focus on segmentation, registration and computer-aided detection. Dr. Liu is currently a Staff Scientist in the Advanced Imaging and Microscopy (AIM) Resource, National Institute of Biomedical Imaging and Bioengineering, at the National Institutes of Health. She is an associate editor of Medical Physics and reviewer for IEEE TMI, IEEE TBME, Medical Physics, Pattern Recognition Letters, and MICCAI.
Publications
Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes.
Chen JSasaki HLai HSu YLiu JWu YZhovmer ACombs CARey-Suarez IChang HYHuang CCLi XGuo MNizambad SUpadhyaya ALee SJLucas LAGShroff H
Nat Methods
2021 Jun
Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans.
Summers RMElton DCLee SZhu YLiu JBagheri MSandfort VGrayson PCMehta NNPinto PALinehan WMPerez AAGraffy PMO'Connor SDPickhardt PJ
Acad Radiol
2021 Nov
Utilizing Fully Automated Abdominal CT-Based Biomarkers for Opportunistic Screening for Metabolic Syndrome in Adults Without Symptoms.
Pickhardt PJGraffy PMZea RLee SJLiu JSandfort VSummers RM
AJR Am J Roentgenol
2021 Jan
Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study.
Pickhardt PJGraffy PMZea RLee SJLiu JSandfort VSummers RM
Lancet Digit Health
2020 Apr
Automated Abdominal CT Imaging Biomarkers for Opportunistic Prediction of Future Major Osteoporotic Fractures in Asymptomatic Adults.
Pickhardt PJGraffy PMZea RLee SJLiu JSandfort VSummers RM
Radiology
2020 Oct
Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment.
Graffy PMLiu JPickhardt PJBurns JEYao JSummers RM
Br J Radiol
2019 Aug
Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort.
Graffy PMLiu JO'Connor SSummers RMPickhardt PJ
Abdom Radiol (NY)
2019 Aug
Population-based opportunistic osteoporosis screening: Validation of a fully automated CT tool for assessing longitudinal BMD changes.
Pickhardt PJLee SJLiu JYao JLay NGraffy PMSummers RM
Br J Radiol
2019 Feb
Fully automated segmentation and quantification of visceral and subcutaneous fat at abdominal CT: application to a longitudinal adult screening cohort.
Lee SJLiu JYao JKanarek ASummers RMPickhardt PJ
Br J Radiol
2018 Sep
Detection and diagnosis of colitis on computed tomography using deep convolutional neural networks.
Liu JWang DLu LWei ZKim LTurkbey EBSahiner BPetrick NASummers RM
Med Phys
2017 Sep
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling.
Farag ALe LuRoth HRLiu JTurkbey ESummers RM
IEEE Trans Image Process
2017 Jan
Mediastinal lymph node detection and station mapping on chest CT using spatial priors and random forest.
Liu JHoffman JZhao JYao JLu LKim LTurkbey EBSummers RM
Med Phys
2016 Jul
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
Roth HRLu LLiu JYao JSeff ACherry KKim LSummers RM
IEEE Trans Med Imaging
2016 May
Automated segmentation of the thyroid gland on thoracic CT scans by multiatlas label fusion and random forest classification.
Narayanan DLiu JKim LChang KWLu LYao JTurkbey EBSummers RM
J Med Imaging (Bellingham)
2015 Oct
Visceral fat quantification in asymptomatic adults using abdominal CT: is it predictive of future cardiac events?
Ryckman EMSummers RMLiu JMunoz del Rio APickhardt PJ
Abdom Imaging
2015 Jan