School of Medicine

Showing 1-10 of 11 Results

  • 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 Postdoctoral 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 in medical imaging including deep learning techniques for analysis of breast, lung and liver cancer images, tomographic image reconstruction, low-dose CT Imaging and digital signal and data processing techniques including image classification, segmentation and radiomics. Dr. Seyyedi received his Master of Science in Biomedical Engineering where he studied techniques for processing and analysis of digital breast tomosynthesis images. 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.
    Prior to joining AIMI, he was investigating image and data analysis techniques at Definiens AG where he led multiple projects and collaborations with several academic and industrial research partners focusing on AI based applications for analysis of big medical data including digital radiologic and pathologic imaging data. He also worked with the British Columbia Cancer Agency of Canada as a part of PanCan lung cancer screening project where he developed deep learning and radiomics applications for lung cancer detection and classification. At AIMI, he is involved in medical imaging research, particularly in developing machine learning methods and other tools to detect and characterize cancer on radiologic images. He is an author on multiple peer-reviewed journal articles and conference proceedings and his interdisciplinary research and studies have been supported and recognized by a number of awards and scholarships.

  • 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

  • Uday Kumar Sukumar

    Uday Kumar Sukumar

    Postdoctoral Research Fellow, Radiology

    Bio With an interdisciplinary background of nano-science and biotechnology, my research interest lies in exploring nano-enabled approaches for targeted delivery of microRNA therapeutics and suicide genes to cancer cells (Hepatocarcinoma or Glioblastoma). Synonymous to the quote "seeing is believing", I go a step further to combine these therapeutic approaches with diagnostic nano-materials (hybrid metal/metal oxide nano-particles and carbon dots) and dyes to track and image spatio-temporal therapeutic response of tumor. In short, formulation and assessment of theragonostic nano-material is the crux of my research.

Footer Links:

Stanford Medicine Resources: