School of Medicine


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  • Ms Supriya Sathyanarayana

    Ms Supriya Sathyanarayana

    Postdoctoral Research Fellow, Radiological Sciences Laboratory

    Bio Dr. Sathyanarayana is working on the Mixed-reality Neuronavigation project. She is currently working on developing accurate head and coil tracking techniques using depth cameras. Her prior work during her PhD was on facial feature detection and tracking for patient monitoring applications.

  • Saeed Seyyedi

    Saeed Seyyedi

    Postdoctoral Research Fellow, Radiology

    Bio Dr. Saeed Seyyedi is a Data Scientist, AI and Deep Learning Specialist and Research Fellow in the Center for Artificial Intelligence in Medicine & Imaging (AIMI) at Stanford University. Dr. Seyyedi is a computer scientist and biomedical engineer and has specialized in artificial intelligence applications including Deep Learning, Computer Vision and NLP techniques for analysis of multi-modality real world datasets, Generative Adversarial (GAN) models, digital signal and data processing techniques including image classification, segmentation and radiomics, image reconstruction and low-dose imaging.
    Dr. Seyyedi received his Master of Science in Biomedical Engineering where he studied techniques for processing and analysis of digital breast tomosynthesis data. He obtained his PhD in Computer Science, Medical Imaging and Informatics from Technical University of Munich in Germany where he was the recipient of an E.U. research fellowship supporting his research and studies in the field of computer science, medical imaging and informatics. During his PhD studies, he was a visiting scholar at Johns Hopkins University where he was involved in development of advanced models for multi-modality imaging problems.
    Prior to joining AIMI, he was investigating image and data analysis techniques at Definiens AG - subsidiary of AstraZeneca PLC - where he led multiple projects and collaborations with several academic and industrial research partners focusing on AI based applications for analysis of big medical and biological datasets including digital pathologic and radiologic imaging data. He also worked with the British Columbia Cancer Agency of Canada as a part of PanCan lung cancer screening project where he and his team developed deep learning and radiomics applications for lung cancer detection and classification. At AIMI, he is involved in AI and medical imaging research, particularly in leading projects for development of deep learning and computer vision methods and other tools to detect and characterize cancer on radiologic images. He is an author, reviewer and editorial board member in several journals and conferences and his interdisciplinary research and studies have been supported and recognized by a number of awards and grants.

  • Idan Steinberg

    Idan Steinberg

    Postdoctoral Research Fellow, Radiology

    Current Research and Scholarly Interests My current research is focused on developing non-ionizing and low cost medical technologies that reliably detect diagnose and monitor disease progression. I work at the interface of between Photonics, Acoustics, RF, Molecular Imaging, Medical Imaging and Biomedical Signal processing. Equal emphasis is on translating these technologies for pre-clinical and clinical applications in cancer and neurological diseases.

  • Marc Yendall Stevens

    Marc Yendall Stevens

    Postdoctoral Research Fellow, Molecular Imaging Program at Stanford

    Current Research and Scholarly Interests Development of radiolabelled tracers for imaging of maladaptive immune response in neurodegenerative disease

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