School of Medicine
Showing 81-99 of 99 Results
-
Henk van Voorst
Postdoctoral Scholar, Radiology
BioDr. van Voorst is a postdoctoral scholar in Radiology studying the interfaces of artificial intelligence and neuroradiological imaging in stroke. Originally educated as an MD, Dr. van Voorst gained additional degrees in Finance and Data Science. As a PhD student, Dr. van Voorst focused on cost-effectiveness modeling and developed machine learning and deep learning algorithms with applications in acute ischemic stroke imaging. In his current research, Dr. van Voorst develops artificial intelligence algorithms to automatically extract information from arteries and veins in radiological stroke imaging.
-
Zhen Xiao
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsApplying magnetic nanomaterials for bioimaging and cancer treatment
-
Zijian Yang
Postdoctoral Scholar, Radiology
BioI have long term interest in combining advanced science and technology to provide next generation healthcare system.
To reach that goal, I have developed machine learning based diagnosis model on the software end, which is combined with my hardware end work including wearable/flexible electronics and microelectronic/microfludic platforms. -
Alaa Talaat Youssef
Postdoctoral Scholar, Radiology
BioDr.Youssef is a postdoctoral fellow at the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI), in the Department of Radiology. She received her Doctor of Philosophy (PhD) degree in Population Health and Medical Education from the Institute of Medical Science, University of Toronto in 2021, Canada. Her research interests lies at the intersection of artificial intelligence (AI) implementation and clinical evaluation. She works with multi-disciplinary research teams to assess, design, develop, and implement person-centered AI solutions that address a clinical need. Her research addresses the ethical, organizational, and workflow barriers that impede clinical adoption of AI in healthcare. Dr. Youssef co-leads the development of several AI educational programs that centers on building capacity for AI research by training diverse group of learners to facilitate safe and responsible use of AI in healthcare for public good.
-
Aroosa Zamarud, MD
Postdoctoral Scholar, Radiology
BioDr. Aroosa Zamarud is a medical doctor who completed her undergraduate education at Bannu Medical College, Khyber Medical University, Pakistan. Following her graduation and a one-year medical internship, she served as a Medical Officer at Zubaida Khaliq Memorial Hospital, Gilgit Baltistan, Pakistan, a charitable institution. During her tenure, she organized medical camps in remote villages in Northern Pakistan, providing healthcare services to underprivileged populations.
In March 2022, Dr. Zamarud joined the Stanford Neurosurgery department as a Visiting Instructor. Her research primarily focused on Clinical Neurooncology, with a special emphasis on the use of Cyberknife stereotactic radiosurgery as a treatment modality for various benign and malignant brain pathologies, including Vestibular Schwannoma, Sarcoma, Spinal metastases, Meningioma, Pineal and Pituitary metastases, and Arteriovenous malformations.
Currently, Dr. Zamarud is serving as a postdoctoral fellow in neurointerventional Radiology. Her ongoing research centers on investigating the role of venous outflow in patients with acute ischemic stroke, among other stroke-related studies. -
Lichun Zhang
Postdoctoral Scholar, Radiology
BioPostdoctoral Scholar at Stanford University | AI in Medical Imaging | GoHawks
-
Zhixiang Zhao
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioZhixiang is interested in front-end and system-level design of high-performance molecular imaging instrumentation. Currently, he is working on the FPGA based readout system for ToF-PET scanners with 100 ps time resolution.
-
Judith Zimmermann
Postdoctoral Scholar, Radiological Sciences Laboratory
BioI am a postdoctoral scholar focusing on advancing breast magnetic resonance imaging, advised by Dr. Brian Hargreaves at the Radiological Sciences Laboratory (RSL), Body Magnetic Resonance (BMR) Group. I received my PhD from the Department of Computer Science, Technical University of Munich in 2021, in close collaboration with the CMR Lab at Stanford, led by Dr. Daniel Ennis. My PhD thesis focused on four-dimensional flow magnetic resonance imaging (4D-flow MRI), primarily in the aorta. After completion of my PhD studies, and prior to joining Dr. Hargreaves' lab, I was with the Breast Imaging Research Group (Dr. Nola Hylton) at UCSF.
