School of Medicine
Showing 21-40 of 100 Results
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Praveen Gurunath Bharathi
Postdoctoral Scholar, Radiology
BioPraveen joined the Nuclear Medicine and Molecular Imaging, Department of Radiology as a Postdoctoral Research Fellow where he will be working on predictive and real-time PET image quality monitoring using Machine learning. Previously, he worked as a Postdoctoral Research Associate at the University of Manchester, UK where he developed an inexpensive imaging & automated analysis system to support early diagnosis of Systemic Sclerosis. He received his Ph.D. in Electrical & Electronics Engineering from the Birla Institute of Technology and Science (BITS), Pilani. His Ph.D. research was focused on developing an automated intelligent decision support system for multiple brain disorder diagnosis from MRI scans. His research is mainly in the interdisciplinary field of deep learning and medical image analysis. In particular the application of deep learning models to improve disease prognosis. He completed his Master's in Biomedical Signal Processing & Instrumentation from RV College of Engineering, India. During his master's he worked as a project intern in the Department of Aerospace Engineering at the Indian Institute of Science (IISc, Bangalore) where he worked on the application of 3D digital image correlation to perform strain analysis on the human body during various physical activities.
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Elima Hussain
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsExplainable AI and Federated Learning
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Mojtaba Jafaritadi
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsDr. Jafaritadi is working on signal processing and machine learning applications in cancer, cardiac, and brain PET imaging. His research focuses on generative AI for image correction, image-to-image translation, and image denoising. He is also interested in working on data- and device-driven motion tracking and correction systems for PET imaging using deep neural networks.
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Donghoon Kim
Postdoctoral Scholar, Radiology
BioDr. Donghoon Kim is a postdoctoral scholar at Stanford's Center for Advanced Functional Neuroimaging. Before joining Stanford, he earned his Ph.D. in Biomedical Engineering from University of California, Davis, supervised by Dr. Youngkyoo Jung. His Ph.D. thesis was titled "Deep Learning-Driven Technical Developments and Clinical Applications of Arterial Spin Labeling MRI". During his Ph.D. studies, he focused on the development of advanced deep learning techniques for ASL MRI, and its clinical applications. During his master's degree in Biomedical Engineering at Virginia Tech-Wake Forest University, he studied the functional connectivity of the default mode network using resting state BOLD fMRI among youth football players, supervised by Dr. Christopher Whitlow and Dr. Youngkyoo Jung.
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Manoj Kumar
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsI work on imaging-guided therapy using PET and MR imaging approaches. My academic training and background is in molecular imaging. During my doctoral training, I developed and validated a PET imaging approach for evaluating endocrine therapy responses in advanced breast cancer. My current research focuses on imaging tumor immune markers and responses to cancer immunotherapy. The goal is to develop new imaging toolboxes to monitor and guide treatment. Specifically, I employ antibodies, nanoparticles, and reporter genes for imaging and combinations of therapies to modulate and restore the body's suppressed immune functions against cancer cells. This is being done in collaboration with teams of researchers in early clinical development and teams in clinical practice.
