School of Medicine
Showing 81-100 of 101 Results
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Muhammad Nasir Ullah
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioMuhammad Nasir Ullah has received a BS degree in Electronic Engineering from International Islamic University, Islamabad (IIUI) Pakistan in Jun 2012 and an integrated MS + Ph.D. degree in Bio-Convergence Engineering from Korea University, Seoul, South Korea under the supervision of Professor Jung-Yeol Yeom in Feb 2020. His Ph.D. thesis was focused on detector design for Nuclear Medicine (NM) system and NM-Ultrasound hybrid systems.
His area of research interest is radiation detection and measurement for medical applications. He has been working on detector design for Positron Emission Tomography (PET) system, intraoperative gamma probe detector, beta/gamma discrimination, and hybrid Ultrasound-gamma probe. He has also been working on frontend discrete circuit designs for various types of radiation and Ultrasound (US) detectors. He has published 6 peer-reviewed articles as the first author while 2 as co-author. He also has 4-patents under his name in S. Korea. -
Jeya Maria Jose Valanarasu
Postdoctoral Scholar, Radiology
BioDr. Jeya Maria Jose Valanarasu is a postdoctoral scholar working with the Stanford Machine Learning Group and the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center). He leads the AI for Healthcare bootcamp with Dr. Andrew Ng, Dr. Curt Langlotz, and Dr. Nigam Shah which provides Stanford students an opportunity to engage in advanced research at the intersection of AI and healthcare.
He obtained his Ph.D. and M.S from Johns Hopkins University where he worked on various problems in Computer Vision, Machine Learning, and Healthcare. His research aims to overcome the challenges that arise when translating machine learning models to practical applications for healthcare and engineering sectors. His works have spanned over topics like designing effective deep architectures, model adaptability to changing environments, role of data and annotations, multi-modal learning and taming large models for computer vision and healthcare tasks. He has published over 25 peer-reviewed journal/conference articles at top venues and filed 3 U.S. patents. He has been awarded Amazon Research Fellowship 2022, Best Student Paper Awards at ICRA 2022, CVIP 2019, MICCAI Young Scientist Impact Award Finalist 2022, and the NIH MICCAI Award 2022. He has also served as a reviewer for multiple journals and conferences. -
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.
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Jie Wang
Postdoctoral Scholar, Radiology
BioDr. Jie Wang is deeply passionate about magnetic nanotechnology, including magnetic resonance imaging (MRI), magnetic particle imaging (MPI), magnetic nanoparticles (MNPs), magnetic nanofluid hyperthermia (MNFH), magnetic biosensors, etc., for biomedical applications. His dissertation focuses on MRI-guided magnetic hyperthermia for cancer theranostics. Currently, his research interests include developing enzyme-activable nanoparticles for brain cancer theranostics and employing multi-modal imaging modalities to investigate the interaction between nanoparticles and biosystems (nano-bio interaction) within tumor microenvironment.
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Zhen Xiao
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsApplying magnetic nanomaterials for bioimaging and cancer treatment
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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 in the Department of Radiology at Stanford University School of Medicine. She received her Doctor of Philosophy degree in Data Science and Population Health from the Institute of Medical Science, University of Toronto, Canada in 2021. Her research addresses ethical considerations in AI development, aiming to promote responsible use of AI in healthcare. Using mixed-methods methodologies, she investigates the end-user experience with AI systems, identifying ethical and safety concerns related to integrating AI into clinical workflows. Dr. Youssef leads several AI educational programs and policy initiatives. She co-directs the Stanford AIMI High School Programs, preparing the next generation for careers that intersect AI and medicine. She also serves on several AI policy and education committees across the Stanford School of Medicine.
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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
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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.
