Clive Musonza, M.D., M.P.H.
Interests: Research and Clinical
Dr. Musonza is a clinician scientist-track diagnostic radiology resident with clinical interests in Body/Abdominal Imaging and Nuclear Medicine. Research interests include use multi-parametric MR or PET/MR in characterization of tumors. Additional research interests include Imaging Informatics, Machine Learning, and Artificial Intelligence.
Durga Udayakumar, Ph.D.
Interests: Research
Radiogenomics, bone metastasis, kidney cancer, breast cancer. Dr. Udayakumar is a cancer biologist with the following research interests: a) Radiogenomics focusing on the utility of multiparametric quantitative MR imaging to predict alterations in molecular and metabolic features of kidney and breast cancer; and b) to understand the molecular drivers of bone metastasis in breast cancer using PET imaging based predictive biomarkers.
Emin Albayrak, M.D.
Interests: Research
MR imaging, genitourinary imaging. Dr. Albayrak is an interventional radiology fellow with an interest in genitourinary cancers. His research focuses on imaging of renal cell carcinoma, radiomics in kidney tumors, 3D modeling and segmenting of the primary tumors and metastasis.
Junyu "Richard" Guo, Ph.D.
Interests: Research
Deep learning applications in MRI; MRI multi-parametric quantitation; Body MRI free breathing imaging; MR Spectroscopic Imaging applications. Dr. Guo is an MR physicist with expertise in deep learning applications and multi-parametric quantifications in body MRI. His research interest includes applying deep learning techniques to improve clinical diagnosis and staging, developing advanced MRI techniques for multi-parametric quantification and fast free-breathing MR acquisition.
Mahsa Taherzadeh, M.D.
Interests: Research
Genitourinary imaging, MR imaging, computed tomography imaging. Dr. Taherzadeh is a research associate with an interest in genitourinary cancer imaging. Her research interests include studying imaging features of different types of kidney lesions, segmenting and 3D modeling of primary renal tumors, and metastatic lesions in MRI and CT images.
Nam Hoang Le, Ph.D.
Interests: Research
Medical imaging, medical physics, image processing, image analysis, signal processing, artificial intelligence, and applications of new computing techniques for healthcare. Dr. Le is an electrical engineer with expertise in medical imaging, signal processing, and applications of computing techniques such as deep learning and algorithms for understanding medical images and data. His research focus includes medical image processing and understanding, MRI signal acquisition and reconstruction, image segmentation, and applications of emerging computing technologies such as graph theory, machine learning, and deep learning in healthcare.
Qing Yuan, Ph.D.
Interests: Research and Clinical
Application of advanced MRI and MRS techniques in clinical studies, quantitative multiparametric MR imaging for cancer research, fat quantification using MRI and MRS, and iron overload. Dr. Yuan’s research focus is to develop quantitative methods for dynamic contrast enhancement, diffusion, and oxygen-enhanced MRI. She works closely with radiologists, fellows, and technologists to improve clinical MRI protocols.
Yin Xi, Ph.D.
Interests: Research
Study design, statistical methodology, reader agreement and reproducibility, predictive modeling, radiomics. Dr. Xi is a statistician with expertise in statistical modeling. His main research focus is the MR imaging-based growth projection and risk stratification of small renal masses.