School of Medicine


Showing 341-360 of 665 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 developing and evaluating advanced techniques for improving treatment decision-making and prognostics in brain diseases, especially stroke, using imaging and deep learning. Dr. Liu is a recipient of the prestigious K99/R00 award for his work on integrating large language models and imaging-based deep learning for stroke outcome prediction.

    Prior to joining Stanford, Dr. Liu earned his Ph.D. in Physics and Biology in Medicine from UCLA under the mentorship of Prof. Kyung Sung. This rigorous training equipped him with a strong 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 developing cutting-edge deep learning and machine learning techniques for MRI-based clinical applications. During his master’s studies, he conducted research on CT Virtual Colonoscopy under the guidance of Prof. Jerome Liang, an IEEE Fellow.

    Dr. Liu has also made significant contributions to the academic community as a peer reviewer for leading journals, including The Lancet Digital Health, NPJ Digital Medicine, Medical Image Analysis, Medical Physics, Scientific Reports, British Journal of Radiology, BJR|Artificial Intelligence, Annals of Clinical and Translational Neurology, IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Radiation and Plasma Medical Sciences, IEEE Transactions on Biomedical Engineering, and IEEE Transactions on Neural Networks and Learning Systems.

    Dr. Liu is an emerging leader in neuroimaging, stroke research, and artificial intelligence, earning widespread recognition for his work. His accolades include the K99/R00 Award, the AJNR Lucien Levy Award, the David M. Yousem Research Fellow Award, and being named a semi-finalist for the 2024 Cornelius G. Dyke Award, all of which underscore his potential to make significant contributions in the future (https://med.stanford.edu/rsl/news/yongkai-liu-receives-research-fellow-award.html).

  • Michael Loecher

    Michael Loecher

    Sr Research Engineer, Rad/Radiological Sciences Laboratory

    BioMy research focuses primarily on improving methods for measuring flow and motion with MRI. My research interests range from image acquisition and reconstruction to error correction and post processing strategies.

  • Andreas Loening

    Andreas Loening

    Assistant Professor of Radiology (Body MRI)

    Current Research and Scholarly InterestsMy lab focuses on expanding the capability of MR and PET/MR as it relates to applications in body imaging. Clinical research aims include the application of new or improved MR sequences to increase the speed, robustness, and diagnostic capability of body MR. Translation research aims include exploring new MR contrast mechanisms and contrast agents, such as for the stratification of cancer within the prostate and the evaluation of the lymphatic system.

  • John D. Louie, MD

    John D. Louie, MD

    Clinical Professor, Radiology

    Current Research and Scholarly InterestsMy research interests focus on interventional oncology which include radioembolization (SIR Spheres and Theraspheres), chemoembolization, and ablation.

  • 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.

  • Darren P. Lum

    Darren P. Lum

    Clinical Assistant Professor, Radiology

    Current Research and Scholarly InterestsPhase Contrast Flow MRI, Valvular Heart Disease, Cardiovascular MRI

  • Amelie Lutz

    Amelie Lutz

    Adjunct Clinical Associate Professor, Radiology

    Current Research and Scholarly InterestsMolecular imaging in oncology
    Peripheral Nerve Imaging
    Cellular imaging of musculoskeletal inflammatory diseases
    Kinematic musculoskeletal imaging
    Magnetic resonance imaging of hepatic disorders

  • Panpan MA

    Panpan MA

    Postdoctoral Scholar, Radiology

    BioTargeted drug delivery, Therapeutic Ultrasound, Tumor Biology, Cancer Research, Pharmaceutical, Nanomedicine, Clinical Research

  • Abdelkader Mahammedi

    Abdelkader Mahammedi

    Clinical Assistant Professor, Radiology

    BioDr. Abdelkader Mahammedi is Assistant Professor of Neuroradiology at the Department of Radiology, Stanford University School of Medicine. He completed medical school at the University of Algiers in Algeria, and then continued a postdoctoral research fellowship in Diagnostic Radiology at Johns Hopkins Hospital under the mentorship of Dr. Stanley Siegelman. Prior to becoming a specialist neuroradiologist, Dr. Mahammedi completed a Neuroradiology fellowship at the Cleveland Clinic Imaging Institute after having completed residencies in both Nuclear Medicine and Diagnostic Radiology. His specialty interests include brain tumors, stroke, small vessel disease, head and neck imaging, and functional magnetic resonance imaging (fMRI). Dr. Mahammedi has contributed to over 30 peer-reviewed publications, including lead authoring multiple articles in high-impact journals. During the beginning of the COVID-19 pandemic, he led and collaborated with multiple institutions from Italy, Spain, and Brazil. His work was considered the first and largest study in the literature that systematically characterized neurological symptoms and neuroimaging features in hospitalized COVID-19 patients, which was published in the journal Radiology. Recently, he has published the most recent multicenter and global COVID-19-related articles, which were featured by the international media in more than 25 languages including 200 newspapers, CNN, BBC, NPR, local televised broadcasts, and the 2020 RSNA Press Release. He co-authored multiple books, including “Imaging Appearance of Migraine and Tension Type Headache” and "Humanizing BrainTumors: Strategies for You and Your Physician" which was published in 2022. Dr. Mahammedi has received numerous awards and honors, including being selected as a semi-finalist for the prestigious Cornelius Dyke Award of the American Society of Neuroradiology (ASNR) 2021, and Best Case Award at the American Institute of Radiologic Pathology (AIRP) in Neuroradiology. In 2014, he was recognized as one of the authors with top-cited articles for his work in the Journal of Thoracic Imaging at the Society of Thoracic Imaging (STR) meeting, where he introduced a new technique for early detection of pulmonary hypertension on CT scans.

  • 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.

  • Noeen Malik, PhD

    Noeen Malik, PhD

    Industry Partnership Lead, Lead Radiochemist, R & D Scientist Engineer, Rad/Molecular Imaging Program at Stanford

    Current Role at StanfordIndustry Partnership Lead
    CRF, MIPS, Stanford School of Medicine, Stanford | May 2024 — present

    Lead Radiochemist (R & D Scientist Engineer 2)
    CRF, MIPS, Stanford School of Medicine, Stanford | March 2023 — present

    Physical Science Research Scientist
    CRF, MIPS, Stanford School of Medicine, Stanford | January 2022 — March 2023

    Responsibilities:
    • R & D of radiopharmaceuticals for oncology and neuroscience
    • Industrial collaborations and partnerships
    • Drafting and filing drug applications with regulatory agencies (CMCs, INDs)
    • Documentation control for audits and in compliance with FDA, Boards of Pharmacy, USP, NRC, and PET CGMP standards.
    • Market strategic report for theragnostic-isotopes for Nextgen Cyclotron project
    • CRF website development
    https://cyclotron.stanford.edu/

  • Parag Mallick

    Parag Mallick

    Associate Professor (Research) of Radiology (Diagnostic Sciences Laboratory)

    Current Research and Scholarly InterestsThe Mallick Lab is focused on using integrative, multi-omic approaches to model the processes that govern cellular dynamics and to use those models to discover cancer biomarkers and molecular mechanisms.

  • Wilfred Manzano

    Wilfred Manzano

    Clinical Instructor, Radiology

    BioRadiology attending, clinical instructor