Radiology
Showing 241-250 of 684 Results
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Matthew Hung
Assistant Professor of Radiology (Interventional Radiology)
BioMatthew Hung, M.D. is a radiologist specializing in Vascular & Interventional Radiology. Dr. Hung earned his M.D. from the David Geffen School of Medicine at UCLA in 2018 and was a recipient of the David Geffen Medical Scholarship. He completed his Transitional Year internship at Memorial Sloan Kettering Cancer Center in 2019. Following completion of his integrated Interventional Radiology/Diagnostic Radiology residency at the Hospital of the University of Pennsylvania in 2024, he joined Stanford University Medical Center where he is currently a clinical assistant professor of radiology.
Dr. Hung specializes in lymphatic interventions, adrenal vein sampling, interventional oncology (minimally invasive cancer treatments including ablation, chemoembolization and radioembolization), the treatment of cirrhosis (end-stage liver disease) and portal hypertension, as well as therapies for uterine fibroids (uterine artery embolization) and benign prostatic hyperplasia (prostate artery embolization).
Dr. Hung is active in clinical research and his research interests include the above clinical domains as well as topics in general interventional radiology ranging from complex drainage to venous access device infections. He has published in peer-reviewed journals such as the Journal of Vascular and Interventional Radiology (JVIR) and presented at several professional society meetings, including the Society of Interventional Radiology (SIR). He was also a recipient of the SIR Radiology Resident Research Grant, investigating quality of life and muscle wasting in patients with refractory ascites. -
Elima Hussain
Postdoctoral Scholar, Radiology
BioDr. Elima is working with GE Healthcare on developing rapid dual-contrast PET/MRI protocols for staging and assessment of rectal cancer. She is also working on development of AI based segmentation models for muscle and fat separation using pelvic MRI images in pelvic floor disorder patients. This project is undergoing in collaboration with Stanford AIMI center and AWS cloud computation support. Her research interests include translation of quantitative MRI and PET/MRI, radiomics, machine learning for predicting treatment response in rectal cancer, gynecologic malignancies, and inflammatory bowel diseases.
