UCUniversity of Cincinnati-Main Campus · Biomedical Engineering
Center for Advanced Cardiac Imaging
Jing Tang · Cincinnati, Ohio
Research Focus
Dr. Jing Tang's lab is focused on enhancing diagnostic techniques for coronary artery disease using advanced imaging methods. By integrating machine learning with 4D imaging, the lab aims to improve the accuracy and reliability of myocardial perfusion assessments, which can lead to better patient outcomes in heart disease treatment. The research explores new methodologies that could significantly increase the effectiveness of non-invasive cardiac evaluations.
coronary artery diseasedynamic PET imagingmyocardial perfusiondeep learningimage reconstructionischemiamyocardial infarctionnon-invasive imagingquantitative analysis
Research Aims
5AIM 01Develop novel data-driven techniques for 4D parametric image reconstruction.
AIM 02Integrate deep learning to enhance noise reduction in medical imaging.
AIM 03Validate imaging methodologies using large animal models and human studies.
AIM 04Improve diagnostic accuracy for evaluating ischemic heart disease.
AIM 05Differentiate between hibernating myocardium and myocardial scars in patients.
Skills the Lab Values
dynamic PET imagingimage reconstruction techniquesdeep learning methodsanimal modelingkinetic analysisdata analysis with Pythonblood flow measurementnoise reduction techniquescardiovascular imaging
Output against the department
Publications434top 20% of dept.121st of 595
this lab
most publishedleast published
Citations26ktop 12% of dept.74th of 595
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.