Projects

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

Unpacking the Importance of the Structural Injuries in Mild Traumatic Brain Injury

This project uses advanced diffusion MRI techniques and novel analysis methods to identify imaging biomarkers of brain changes and cognitive outcomes in patients with mild traumatic brain injury, aiming to improve diagnosis, prognosis, and treatment planning.

BRAIN   DIFFUSION MRI

Advancing Multimodal AI for Breast Cancer Detection, Interpretation, and Risk Profiling

This research aims to develop multimodal artificial intelligence systems that enhance breast cancer detection and risk prediction, improve diagnostic consistency, reduce false positives and unnecessary biopsies, and enable precision screening and personalized prevention strategies.

AI   BREAST

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

Multinuclear MRI to Monitor Breast Cancer Therapy

This project develops a multinuclear MRI technique using sodium (23Na) and hydrogen (1H) MR fingerprinting at 3 T to create imaging biomarkers for assessing early breast cancer response to neoadjuvant chemotherapy (NACT) and guiding treatment decisions.

BREAST   X-NUCLEI
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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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