School of Medicine
Showing 31-40 of 88 Results
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Elima Hussain
Postdoctoral Scholar, Radiology
BioDr. Elima is working with GE Healthcare on developing rapid dual-contrast PET/MRI protocols for staging and assessment of rectal cancer. She is also working on development of AI based segmentation models for muscle and fat separation using pelvic MRI images in pelvic floor disorder patients. This project is undergoing in collaboration with Stanford AIMI center and AWS cloud computation support. Her research interests include translation of quantitative MRI and PET/MRI, radiomics, machine learning for predicting treatment response in rectal cancer, gynecologic malignancies, and inflammatory bowel diseases.
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Carly E. Jones
Postdoctoral Scholar, Radiology
BioCarly completed her BASc in Engineering Physics (UBC) in 2017. She began the MASc program in Biomedical Engineering at UBC in 2017 and transferred into the PhD program in the spring of 2019. Carly successfully defended her PhD thesis in July of 2024 and began a Postdoctoral Fellowship at Stanford University in September of 2024 in the Radiology Department. Carly received the Young Investigator Award from the International Society of Osteoarthritis Imaging in 2019 for her work on cartilage health in hips with bone marrow lesions. She is also a passionate educator and received a Killam Graduate TA Award in 2021 for her TA work in the Mechanical and Biomedical Engineering Departments at UBC.
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Kathryn (Katie) Kapp
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsI am interested in using mass spectrometry to study protein glycosylation, a complex post-translational modification that is known to be heavily altered in cancer and could improve early cancer detection. I am using mass spectrometry to study protein glycosylation in a variety of clinical samples and cancers, but I am particularly interested in proximal fluid samples to develop more accessible ways to obtain clinical samples to study cancer and women's health.
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Donghoon Kim
Postdoctoral Scholar, Radiology
BioDr. Donghoon Kim is a postdoctoral scholar at Stanford’s Center for Advanced Functional Neuroimaging (CAFN), working in close collaboration with the Stanford Alzheimer’s Disease Research Center (ADRC). His work develops cutting-edge deep learning approaches for multimodal neuroimaging analysis, with an emphasis on the early detection and characterization of Alzheimer’s disease pathology.
Before joining Stanford, he earned his Ph.D. in Biomedical Engineering from the University of California, Davis. 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. -
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.
