Projects

Artificial Intelligence for Early Pancreatic Cancer Risk Prediction and Personalized Surveillance

This project aims to build a multimodal artificial intelligence system that integrates multimodal and longitudinal data to predict pancreatic cancer risk, enable early detection, facilitate personalized and cost-effective surveillance, support timely intervention, and reveal imaging biomarkers that precede the onset of cancer.

AI PANCREAS

Multi-Scale and Multi-Modality Imaging of Neuropathology in VCID

This study aims to advance understanding of neurodegeneration in VCID by developing postmortem MRI protocols, computational tools, and multi-modal atlases, standardizing MRI and histology methods, and creating extensive imaging and biomaterial resources to support research in AD, ADRD, and related pathologies.

AGING BRAIN

Imaging of pain sources in myofascial pain syndrome

This project aims to develop PET and MRI techniques to identify novel imaging biomarkers of myofascial tissue damage and associated inflammatory mediators, providing objective measures of trigger points and the sources of pain to improve the diagnosis, characterization, and management of myofascial pain syndrome.

MSK QUANTITATIVE MRI

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

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

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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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