School of Medicine

Showing 41-60 of 101 Results

  • Yongkai Liu

    Yongkai Liu

    Postdoctoral Scholar, Radiology

    BioDr. Yongkai Liu is a postdoctoral scholar at Stanford's Center for Advanced Functional Neuroimaging, led by Drs. Greg Zaharchuk and Michael Moseley. His interests lie in designing and evaluating advanced techniques for improving treatment decision-making and prognostics in brain diseases, especially stroke, using imaging and deep learning.

    Before joining Stanford, he earned a Ph.D. from UCLA, majoring in Physics and Biology in Medicine, under the supervision of Prof. Kyung Sung. This gave him a solid foundation in medicine, deep learning, and physics. His Ph.D. thesis, titled "Advancing Segmentation and Classification Methods in Magnetic Resonance Imaging via Artificial Intelligence," focused on the development of advanced deep learning and machine learning techniques specifically for MRI-based clinical applications.

    During his master's degree, he studied CT Virtual Colonoscopy under the supervision of Prof. Jerome Liang and Chaijie Duan. In addition, he served as a reviewing editor for Frontiers in Oncology and as a peer reviewer for several critical journals in medical imaging, such as IEEE Transactions on Medical Imaging (TMI), Medical Physics, IEEE Transactions on Radiation and Plasma Medical Sciences, and IEEE Transactions on Biomedical Engineering.

  • Ning Lu

    Ning Lu

    Postdoctoral Scholar, Molecular Imaging Program at Stanford

    BioNing Lu received a joint Ph.D. degree in Biomedical Engineering and Scientific Computing from the University of Michigan, Ann Arbor, USA, in 2023. Previously, she earned a B.S.E. degree (highest honors) in Biomedical Engineering from Southeast University, Nanjing, China, in 2018. From May 2022 to September 2022, she worked at Meta (formerly Facebook) Reality Labs as a research scientist intern on ultrasonic eye tracking for AR/VR wearable devices, in Redmond, Washington, USA. Her research interests include ultrasound instrumentation, ultrasound therapy, ultrasound imaging algorithms, and AI in healthcare.

  • Panpan MA

    Panpan MA

    Postdoctoral Scholar, Radiology

    BioTargeted drug delivery, Tumor biology, Cancer Research, Pharmaceutical, Nanomedicine

  • Rim Malek

    Rim Malek

    Postdoctoral Scholar, Molecular Imaging Program at Stanford

    Current Research and Scholarly InterestsMy work is focused on the development of small molecules radiotracers for cancer imaging, and small molecules and peptides theranostics for cancer detection, targeted radionuclide therapy, and monitoring of tumor response to therapy.

  • Golnaz Moallem

    Golnaz Moallem

    Postdoctoral Scholar, Radiology

    BioGolnaz Moallem is a postdoctoral research fellow at the Personalized Integrative Medicine Laboratory in the Department of Radiology at Stanford University. Her research interests include machine learning and computer vision applications in clinical data analysis, particularly the design and development of deep vision systems for medical image analysis including image classification and object detection. She completed her B.S. degree in electrical engineering from Isfahan University of Technology, and her M.S. and Ph.D. degrees in Electrical Engineering from Texas Tech University.

  • Sanaz Nazari Farsani

    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.

  • Kerem Nernekli

    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.

  • Sharon S. Newman

    Sharon S. Newman

    Postdoctoral Scholar, Radiology

    BioI am interested in increasing access to medical technologies, particularly in low-resource settings. I develop computational and bio-analytical technologies for early detection of disease, presently focusing on methods to increase sensitivity and multiplexing capabilities in diagnostic devices. Through developing these systems, I get to explore and play with subjects such as statistical modeling, image processing, manipulation and design of molecular systems, and optimization techniques. As a student, I have gotten to take classes ranging from many project based computation courses to linear dynamical systems to deep dives into chemistry of therapeutic drug development. I look forward to bringing my wide base of experiences in both computational and biological realms towards breakthroughs in precision health and diagnostics amenable to lower resource settings.

    I also am always excited to teach and mentor, and have been involved with a myriad of opportunities including curriculum development and teaching AI/ML to high school students in US and India, K-12 STEM outreach in US, Scratch curriculum teaching to teachers in Taiwan, and graduate level courses such as Biological macromolecules to Stanford students! Im always happy to chat about how to best reach and inspire students and people of all ages, so please reach out!

  • Sophie Ostmeier

    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.

  • Magdalini Paschali

    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.

  • Shirin Pourashraf

    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.