School of Medicine
Showing 1-19 of 19 Results
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Zhongnan Fang
Principal Machine Learning Scientist, Radiology
BioDr. Fang is a Principal ML Scientist in the AIDE Lab. His research interests lie in driving AI innovations in medicine, with a focus on AI model design and development, performance and robustness evaluation, and quality monitoring and debugging. Previously, he was a founding member and the Data Science Lead at LVIS corporation, pioneering personalized neurological disease treatment using cutting-edge neuroscience findings and AI technologies.
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Katherine Ferrara
Professor of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsMy focus is image-guided drug and gene delivery and I am engaged in the design of imaging devices, molecularly-targeted imaging probes and engineered delivery vehicles, drawing upon my education in biology and imaging physics and more than 20 years of experience with the synthesis and labeling of therapeutic particles. My laboratory has unique resources for and substantial experience in synthetic chemistry and ultrasound, CT, MR and PET imaging.
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Dominik Fleischmann
Professor of Radiology (Cardiovascular Imaging)
Current Research and Scholarly InterestsNon-invasive Cardiovascular Imaging
Image Post-processing
Contrast Medium Dynamics -
Benjamin Lewis Franc
Clinical Professor, Radiology - Rad/Nuclear Medicine
BioDr. Franc is a Clinical Professor of Radiology - Nuclear Medicine and Molecular Imaging. He completed his B.S and M.S. in Chemical Engineering at Stanford University, Stanford, CA. He completed his medical school training at University of Southern California, Keck School of Medicine. While conducting his residency at Stanford University, in the Division of Nuclear Medicine and Molecular Imaging, he was also the chief resident. Dr. Franc’s research interests include all aspects of PET-CT as he has nearly 20 years of experience in clinical Nuclear Medicine with particular expertise in PET-CT.
Dr. Franc predominantly publishes and lectures on applications and innovations of PET-CT. He has proficiency in all aspects of PET radiopharmaceutical development, spanning the design of molecules, synthesis of radioligands, and use in animal and human imaging. He also has expertise in quantitative image analysis, development of novel post-processing image reconstruction methods, and the application of artificial intelligence in human diagnostics. Dr. Franc has implemented new radiopharmaceuticals in pre-clinical and clinical research PET imaging as well as for clinical PET with applications in cancer, infectious disease (HIV), and autoimmune disease (RA). He has applied advanced computational techniques, including deep learning, to extract predictive data for prognosis of various cancers and neurodegenerative diseases from molecular imaging modalities.
Since joining the faculty at Stanford in 2018, Dr. Franc has received several awards including the Radiological Society of North America 2019 Margulis Award for Excellence in Research; RSNA 2019 Trainee Research; and Most read article in Radiology 2019. He has accepted the position of Director, Residency Program, Nuclear Medicine and Molecular Imaging as well as the Director, Radiology Value-Based Care Initiative. Dr. Franc has presented more than 40 abstracts at national and international meetings and published more than 90 papers in peer-reviewed publications, as well as 9 book chapters.