Stanford University
Showing 501-550 of 684 Results
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Raheleh Roudi
Basic Life Research Scientist, Rad/Pediatric Radiology
BioRaheleh Roudi is a research scientist in the Department of Radiology at Stanford University. Dr. Roudi trained at the Iran University of Medical Sciences, Iran. She worked as an Assistant Professor at the Iran University of Medical Sciences, Iran from 2015 to 2019, before coming to the United States. During this time, Dr. Roudi worked on several projects which have led to successful collaborations with the Karolinska Institute; Charite Universitatsmedizin Berlin; Oslo University Hospital; National University of Singapore; Shanghai University of Traditional Chinese Medicine and University of Brescia, among other internationally recognized institutions.
Dr. Roudi was a visiting scientist in the University of Texas at San Antonio and then appointed as a postdoctoral associate at the University of Minnesota for one year, before joining Stanford University in 2022.
Her research interest focuses on the molecular oncology and immunotherapies of solid tumors and she published more than 40 peer reviewed papers. -
Daniel Rubin
Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford), Emeritus
Current Research and Scholarly InterestsMy research interest is imaging informatics--ways computers can work with images to leverage their rich information content and to help physicians use images to guide personalized care. Work in our lab thus lies at the intersection of biomedical informatics and imaging science.
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Mirabela Rusu
Assistant Professor of Radiology (Integrative Biomedical Imaging Informatics) and, by courtesy, of Biomedical Data Science and of Urology
On Leave from 2026-08-01 To 2027-05-31Current Research and Scholarly InterestsDr. Mirabela Rusu focuses on developing analytic methods for biomedical data integration, with a particular interest in radiology-pathology fusion. Such integrative methods may be applied to create comprehensive multi-scale representations of biomedical processes and pathological conditions, thus enabling their in-depth characterization.
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Rabeya Tus Sadia
Postdoctoral Scholar, Radiology
BioI am currently working on multimodal and multitask foundation models for cancer detection and surgical video analysis. My research focuses on medical image and video segmentation, MRI and ultrasound analysis, foundation models, reinforcement learning, and AI agents. My broader research spans generative modeling, causal machine learning, multimodal learning, large language models, state-space models, spatial and single-cell omics, structured data analysis, and trustworthy artificial intelligence. My goal is to develop clinically meaningful, interpretable, fair, and reliable AI methods for real-world biomedical and healthcare applications.
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Triya Saha
Postdoctoral Scholar, Radiology
BioDr. Triya Saha is a postdoctoral scholar at Stanford University, Department of Radiology, specializing in tissue engineering, regenerative medicine, biomaterials, therapeutic delivery, and translational biomedical engineering. Dr. Saha earned her Ph.D. in Biological Sciences and Bioengineering from the Indian Institute of Technology Kanpur, India, where her doctoral research focused on developing clinically relevant bioengineered therapeutic platforms for chronic fatty liver disease. Her research involved the development of 3D bioprinted hepatic patches and sprayable bioadhesive hydrogels for targeted delivery of stem cell-derived exosomes, with a focus on tissue regeneration, immunomodulation, fibrosis reversal, and gut-liver crosstalk. Her expertise includes biomaterial design, 3D bioprinting, hydrogel engineering, exosome-based therapeutics, in vitro and in vivo disease models, and translational regenerative medicine.
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Giovanni Marco Saladino
Postdoctoral Scholar, Radiology
BioI am a Postdoctoral Scholar in the Department of Radiology at Stanford University. I graduated in Engineering Physics with a BSc at Politecnico di Milano (Italy) and an MSc at KTH Royal Institute of Technology (Sweden). In 2024, I obtained my PhD in Biological and Biomedical Physics from the Department of Applied Physics at KTH Royal Institute of Technology.
My research interests lie at the intersection of molecular imaging, nanomedicine, and nanomaterials. Specifically, I focus on developing novel contrast agents and exploring advanced imaging techniques. During my PhD studies, I designed hybrid multimodal contrast agents for complementary imaging using X-ray fluorescence computed tomography, magnetic resonance imaging, and optical fluorescence imaging. I am currently involved in investigating theranostic applications of nanomaterials, which hold great promise for personalized medicine and targeted therapies. -
Alexander J Salerno
Affiliate, Rad/Neuroimaging and Neurointervention
Visiting Scholar, Rad/Neuroimaging and NeurointerventionBioDr. Alexander Salerno is a Postdoctoral Scholar in the Department of Radiology at Stanford University. As a neurologist and stroke specialist, he is dedicated to advancing neuroimaging technologies and directly improving clinical care for patients with cerebrovascular disease. His research in the Heit Lab focuses on the clinical and radiological evaluation of patients with acute ischemic stroke, with a special emphasis on posterior circulation stroke management. He will develop pipelines that refine prognostic models using multimodal imaging to help guide acute treatment decisions.
Dr. Salerno earned his MD at the University of Genoa, Italy, followed by his neurology residency, an MD-PhD in cerebrovascular disease, and a postdoctoral fellowship at the Stroke Center of Lausanne University Hospital in Switzerland. At Lausanne, he also holds a faculty appointment as Reader and Clinical Faculty (MERc-PD). An effective catalyst for collaborative research with a strong clinical research background, he actively coordinates international multicenter collaborations and helps establish large-scale, federated data-sharing networks for international stroke registries. Alongside his research, he is dedicated to medical education and enjoys finding engaging ways to teach clinical neurology.
Fun fact: when he is not analyzing brain scans or asking patients to repeat "No ifs, ands, or buts," Alexander is a passionate marine aquarist who loves aquascaping miniature coral reefs right in his living room. An avid traveler with a creative eye for designing scientific illustrations, he also enjoys unwinding by cooking authentic Italian cuisine. -
Jesse Kerr Sandberg
Clinical Associate Professor, Radiology - Pediatric Radiology
Current Research and Scholarly InterestsCurrent research interests include ultrasound elastography, ultrasound contrast applications, MRI sequence development, HIFU and MSK ultrasound.
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Veit Sandfort
Clinical Assistant Professor, Radiology
BioRadiologist and Cardiologist (Germany) with cardiovascular imaging research/clinical experience. I have a continued interest in clinical cardiovascular imaging and in medical applications of deep learning.
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Amir H. Sarrami
Clinical Assistant Professor, Radiology - Pediatric Radiology
Current Research and Scholarly InterestsPediatric thoracic imaging
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George Segall
Professor of Radiology, Emeritus
Current Research and Scholarly InterestsScintigraphic evaluation of coronary blood flow and myocardial function using single photon emission computed tomography (SPECT) and positron emission tomography (PET). Tumor imaging and characterization of pulmonary nodules with PET/CT.
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Kawin Setsompop
Professor of Radiology (Radiological Sciences Laboratory) and, by courtesy, of Electrical Engineering
BioKawin Setsompop is a Professor of Radiology and, by courtesy, of Electrical Engineering. His research focuses on the development of novel MRI acquisition methods, with the goal of creating imaging technologies that can be used to help better understand brain structure and function for applications in Healthcare and Health sciences. He received his Master’s degree in Engineering Science from Oxford University and his PhD in Electrical Engineering and Computer Science from MIT. Prior to joining Stanford, he was a postdoctoral fellow and subsequently a faculty at the A.A. Martinos center for biomedical imaging, MGH, as well as part of the Harvard and MIT faculty. His group has pioneered several widely-used MRI acquisition technologies, a number of which have been successfully translated into FDA-approved clinical products on Siemens, GE, Phillips, United Imaging and Bruker MRI scanners worldwide. These technologies are being used daily to study the brain in both clinical and neuroscientific fields.
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Shailja
Postdoctoral Scholar, Radiological Sciences Laboratory
BioShailja is an engineer and computational scientist interested in the modeling of the human brain to study neurological diseases and guide neurosurgeries. As a Wu Tsai Neuroscience Institute’s postdoctoral fellow with Prof. Jennifer A. McNab and Prof. Josef Parvizi, she investigates tractography-based neurosurgical targeting. She is interested in mapping the whole brain structural connectivity network from diffusion MRI to functional connectivity in the human brain. Shailja received her PhD in Electrical and Computer Engineering from the University of California, Santa Barbara and BS from Electrical Engineering Department, Indian Institute of Technology, Kharagpur. Her doctoral research is on Reeb graphs for modeling white matter fibers in the human brain, which was awarded the Winifred and Louis Lancaster Best PhD Dissertation at UC Santa Barbara.
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Luyao Shen, MD
Clinical Associate Professor, Radiology
Current Research and Scholarly InterestsGU and Gyn clinical imaging
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Vipul Sheth, MD, PhD
Assistant Professor of Radiology (Body MRI)
Current Research and Scholarly InterestsMy interests are in the development and translation of imaging technologies geared toward disease detection and characterization to better guide prognosis, treatment, and improve outcomes. I’m interested in supporting the development of MRI guided focal therapy methods which can personalize treatment and reduce the risk of morbidity from more invasive therapies.
Clinical Interests
- MRI for diagnosis of pelvic floor disorders
- MRI and PET/MRI to pelvic malignancies and lymph node staging.
- Whole Body MRI
- MRI guided procedures including biopsies, cryoablation, and high intensity focused ultrasound.
Translational Research Interests
- Development and translation of magnetic resonance imaging technologies to improve both diagnostics and therapeutics
- Molecular imaging and characterization of the tumor microenvironment
- Ultrashort echo time MRI applications in the body
- Developing synergistic MRI methods to complement PET in potential applications for PET/MRI -
Linxi Shi
Sr Res Scientist-Physical, Rad/Radiological Sciences Laboratory
BioI am a medical physicist and imaging scientist with over a decade of experience in CT imaging, algorithm development, and AI-driven reconstruction. I earned my Ph.D. in Medical Physics from the Georgia Institute of Technology, where I developed novel artifact corrections and reconstruction algorithms for cone beam computed tomography, focusing on applications in breast cancer diagnosis and image-guided radiation therapy.
Following my doctoral studies, I completed a postdoctoral fellowship with the Stanford Cancer Imaging Training (SCIT) Program. Currently, I serves as a Senior Research Scientist in the Radiological Sciences Laboratory at Stanford University. My research focuses on developing advanced clinical translational x-ray and CT imaging systems, including algorithm design for tomographic reconstruction, artifact correction, and image processing for various imaging modalities. -
Pratham Preet Singh
Affiliate, Rad/Integrative Biomedical Imaging Informatics at Stanford
BioPh.D. Kinesiology
University of Toronto – Toronto, ON
Sept 2021 – Aug 2026 (Expected)
M.Sc. Biomedical Engineering (Specialization in Wearable Technology)
University of Calgary – Calgary, AB
Jan 2019 – Jan 2021
B.Eng. With Distinction, Biomedical Engineering (Co-op); B.A., Business Administration
University of Guelph – Guelph, ON
Sept 2012 – Dec 2017
