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

Open-Source Software Tools for Rapid Radiofrequency Coil Modeling and Simulation in MRI

This project develops open-source, memory-efficient electromagnetic simulation tools using tensor decompositions and optimization techniques to improve RF coil modeling for ultra-high field MRI, enhancing image quality and safety while reducing computational and licensing barriers.

COILS   SIMULATIONS   SOFTWARE

FireVoxel: Interactive Software for Multi-Modality Analysis of Dynamic Medical Images

FireVoxel is a freely distributed medical imaging analysis software developed at NYU Langone that provides powerful quantitative tools—especially for dynamic abdominal and genitourinary studies—and has become widely adopted in MRI research worldwide.

QUANTITATIVE MRI   SOFTWARE

Longitudinal Single-Center Study with Rapid Quantitative Assessment of Knee Joint with Compressed Sensing

This study uses compressive sensing (CS) techniques to accelerate knee MRI and track osteoarthritis (OA) progression by measuring T2 and T1rho relaxation times, enabling faster detection of cartilage degeneration and changes associated with advancing disease.

MSK   QUANTITATIVE 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
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