Research Staff

Contact Information
  • artem.mikheev@nyulangone.org

Artem Mikheev

Senior Application Programmer

Research Projects

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.

Neuroimaging Core of NYU Langone’s Alzheimer’s Disease Research Center

The neuroimaging core of NYU Langone’s Alzheimer Disease Research Center supports research on Alzheimer’s and related dementias by developing and applying advanced imaging techniques to aid early diagnosis, track disease progression, and inform novel diagnostics and treatments.

Breast cancer Intravoxel Incoherent Motion Multisite (BRIMM) Project

The BRIMM project is a multi-site breast cancer study using intravoxel incoherent motion (IVIM) MRI to develop a robust, cross-platform imaging biomarker that noninvasively characterizes the tumor microenvironment and predicts response to neoadjuvant chemotherapy.

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.

Cellular Viscosity as a Marker for Alzheimer’s Disease Pathology: A Combined Multiparametric MR Spectroscopy and PET Study

This project investigates intracellular viscosity as a potential early marker of neurodegeneration and Alzheimer’s disease by combining PET imaging, blood-based biomarkers, and an innovative technique called magnetic resonance spectroscopic fingerprinting (MRSF), using data from a well-characterized cohort at NYU’s Alzheimer’s Disease Research Center.

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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