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Habib Zaidi is a leading researcher in the field of medical imaging, specifically focusing on Positron Emission Tomography (PET) and Single-Photon Emission Computed Tomography (SPECT). His work emphasizes the development of advanced biomedical imaging instrumentation and quantitative image reconstruction techniques. He has a strong background in modeling and simulation tools, particularly in hybrid imaging modalities such as SPECT/CT and PET/CT. Dr. Zaidi is renowned for his efforts to improve the quality and quantitative accuracy of nuclear medicine images through statistical analysis and reconstruction algorithms, as well as attenuation and scatter correction techniques. He is actively contributing to the burgeoning field of neuroimaging oncology and is engaged in innovative projects aimed at designing dedicated high-resolution PET scanners aimed at prostate cancer imaging in collaboration with CERN. His ongoing research is at the forefront of integrating deep learning approaches to enhance medical image analysis, clinical diagnosis, and outcome prediction.
Includes Department of Management, Finance, Economics, and Statistics programs. GMAT is strongly encouraged but not mandatory for most GSEM masters.