Projects

Advanced Diffusion MRI in Renal Cancer: Oncologic Control and Renal Functional Reserve

This project investigates REFMAP, an advanced diffusion MRI approach combining IVIM and DTI, to noninvasively diagnose kidney tumors, estimate glomerular filtration rate, and predict renal function outcomes following surgery.

DIFFUSION MRI   KIDNEYS

Multiparametric Mapping of Knee Joint with Magnetic Resonance Fingerprinting

This project develops advanced magnetic resonance fingerprinting (MRF) methods enhanced with machine learning to improve the efficiency and robustness of MRI for early detection of osteoarthritis (OA) in the knee by identifying biochemical and structural changes before visible damage occurs.

MSK   QUANTITATIVE MRI

Noninvasive Estimation of Electrical Properties from Magnetic Resonance Measurements

This project develops a three-pronged strategy—combining global inverse modeling, physics-informed neural networks, and vision transformers—to generate high-resolution maps of tissue electrical properties using MRI, with broad applications in medical imaging and treatment.

QUANTITATIVE MRI   SIMULATIONS

GRASP MRI

This project focuses on the ongoing development and clinical translation of GRASP MRI—a fast, motion-robust dynamic imaging method combining golden-angle radial sampling, compressed sensing, and parallel imaging—which has been widely adopted in clinical practice, expanded into advanced variants, and increasingly applied in both diagnostic and therapeutic settings.

BRAIN   RAPID MRI

Prediction Models of Knee Osteoarthritis Incidence and Progression using Deep Learning

This project develops and validates deep-learning models that analyze clinical and imaging data to predict individuals' five-year risk of knee osteoarthritis progression and total knee replacement, aiming to enable early intervention and personalized treatment.

AI   MSK
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Researchers at the Center for Biomedical Imaging at NYU Langone Health develop transformative imaging technologies to advance basic science and address unsolved clinical problems.

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