School of Medicine
Showing 141-160 of 680 Results
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Gozde Durmus
Assistant Professor (Research) of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsDr. Durmus' research focuses on applying micro/nano-technologies to investigate cellular heterogeneity for single-cell analysis and personalized medicine. At Stanford, she is developing platform technologies for sorting and monitoring cells at the single-cell resolution. This magnetic levitation-based technology is used for wide range of applications in medicine, such as, label-free detection of circulating tumor cells (CTCs) from blood; high-throughput drug screening; and rapid detection and monitoring of antibiotic resistance in real-time. During her PhD, she has engineered nanoparticles and nanostructured surfaces to decrease antibiotic-resistant infections.
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Daniel Bruce Ennis
Professor of Radiology (Veterans Affairs) and, by courtesy, of Bioengineering
Current Research and Scholarly InterestsThe Cardiac MRI Group seeks to invent and validate methods to quantify cardiac performance. We develop methods to measure cardiac structure (DWI/DTI), function (tagging and DENSE), flow (PC-MRI), and remodeling (diffusion, T1-mapping, fat-water mapping) for pediatrics and adults.
Fundamental to our research is a set of tools for numerically optimizing gradient waveforms, Bloch simulations, and patient-specific 3D-printed cardiovascular structures connected to computer controlled flow pumps. -
Ahmet Görkem Er
Postdoc Res Affiliate, Rad/Integrative Biomedical Imaging Informatics at Stanford
Postdoc Res Affiliate-2, Rad/Integrative Biomedical Imaging Informatics at StanfordBioAhmet Görkem Er, M.D., Ph.D., is a physician-scientist and postdoctoral fellow in Integrative Biomedical Imaging Informatics (IBIIS) at Stanford University. He graduated from Istanbul University Faculty of Medicine and completed dual residency training in internal medicine and infectious diseases and clinical microbiology at Hacettepe University. He also has a Ph.D. in medical informatics from Middle East Technical University.
As a Fulbright Ph.D. Dissertation Research Grantee (2022–2023), Dr. Er conducted research at the Stanford Center for Biomedical Informatics Research, focusing on multimodal data integration in COVID-19 patients. This work resulted in a publication in NPJ Digital Medicine demonstrating the value of combining clinical, imaging, and viral genomic data for improved disease modeling. He returned to Stanford in 2024 as a visiting researcher and is currently a postdoctoral fellow, where he combines his clinical background with advanced computational methods.
Dr. Er’s research focuses on developing artificial intelligence and multimodal data fusion approaches for complex diseases. His work integrates a broad spectrum of inputs, including medical imaging, histopathology, clinical data, genomics, and spatial transcriptomics, to improve patient stratification and support data-driven clinical decision-making. -
Koray Ertan
Research Engineer, Rad/Radiological Sciences Laboratory
BioKoray Ertan received his B.Sc. degree in Electrical and Electronics Engineering from Bilkent University, Turkey, where he also completed his Ph.D. under the supervision of Prof. Ergin Atalar. During his doctoral studies, he conducted research at the National Magnetic Resonance Research Center (UMRAM) in Turkey. His dissertation focused on the development of novel magnetic resonance imaging (MRI) technologies, including gradient array systems aimed at improving diagnostic image quality, reducing specific absorption rate (SAR), and shortening scan times.
In April 2019, he joined Prof. Brian Rutt’s group at Stanford University as a postdoctoral researcher. Shortly after, in June 2019, he was also appointed as a MINDED postdoctoral fellow. As part of the MINDED program, his research involved developing a system to modulate the permeability of the blood-brain barrier using focused radiofrequency heating from ultra-high field MRI transmit coils, with the goal of enhancing nanomedicine-based treatments for neurodevelopmental disorders.
He is currently a Research Scientist in the Radiological Sciences Laboratory at Stanford. His present work focuses on the design of next-generation head gradient coils and the analysis of peripheral nerve stimulation (PNS) thresholds. He is developing a predictive framework to estimate subject-specific PNS limits using basic demographic data and localizer MRI scans, with the aim of enabling safer and more efficient MRI. -
Zhongnan Fang
Affiliate, Rad/Radiology Finance and Administration
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.
