School of Medicine
Showing 51-60 of 101 Results
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Sanaz Nazari Farsani
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioDr. Nazari Farsani works on developing and implementing machine learning techniques for automated tissue segmentation from brain PET/MR images. She is also developing machine learning algorithms for PET data correction and de-noising.
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Kerem Nernekli
Postdoctoral Scholar, Radiology
BioDr. Nernekli has a wide-ranging research background encompassing molecular imaging, surgical neuroanatomy, clinical outcome studies, and machine learning, focusing on medical image reconstruction and multimodal deep learning algorithms for classification and segmentation tasks. Currently, he is focused on investigating novel radiotracer and activatable Gd-based contrast agents to detect senescence in large animal models with PET/MRI. Furthermore, Dr. Nernekli is exploring the potential of ferumoxytol-MRI and two-photon microscopy to correlate theranostic nanoparticles in their natural environment in order to gain a deeper understanding of their interactions with tumor-associated microenvironments.
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Sophie Ostmeier
Postdoctoral Scholar, Radiology
BioMy current research is in deep neural networks that learn from multimodal clinical data including images and clinical information. I would like to combine these primary computer vision algorithms with large language models/EHR encoding models in order to integrate them into the clinical workflow, potentially as a virtual assistant.
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Magdalini Paschali
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsMy research focuses on utilizing machine learning models to enhance the understanding, diagnosis, and treatment of clinical disorders. I am interested in multi-modal learning, combining imaging data like MRI and CT scans with non-imaging data such as electronic health records, creating more holistic and accurate diagnostic models. I am also interested in the robustness of deep neural networks under domain shifts, investigating how models perform when faced with changes in input data distributions.
Finally, I am interested in early biomarker identification using AI model interpretability, to enable the early detection and targeted treatment of chronic disorders. -
Suraj Pavagada
Postdoctoral Scholar, Radiology
BioSuraj Pavagada is a postdoctoral scholar at the Department of Radiology at Stanford University. His research focuses on exploiting magnetic levitation-based techniques for applications in point-of-care medical diagnostics.
Suraj received his PhD in Oncology from the University of Cambridge (24’), where he developed a new bioelectronic cell enrichment platform utilizing altered glycosylation patterns for the early detection of esophageal cancer. With a background in electrochemistry, surface functionalization, liquid biopsy, and molecular diagnostics, he is passionate about developing portable sensor technologies that can be translated into the clinic to facilitate timely diagnosis and monitoring. -
Shirin Pourashraf
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsMy working is focused on building a 100 ps CTR pre-clinical partial ring TOF-PET scanner; specifically, by exploring, and designing high speed low noise/jitter instrumentation, and data acquisition.
I am also designing an scalable side-readout electronic to detect Cherenkov radiation and improve TOF resolution in PET detectors using BGO crystals. -
Shobha Regmi
Postdoctoral Scholar, Radiology
BioResearch interest: Mesenchymal stem cell transplantation, Stem cell biology, Islet transplantation, Biomaterials, Drug delivery
