Radiology
Showing 351-400 of 684 Results
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Yongkai Liu
Instructor, Radiology
BioDr. Yongkai Liu is an instructor in the Department of Radiology, Division of Neuroimaging and Neurointervention at Stanford University. His research focuses on developing and evaluating advanced techniques to improve treatment decision-making and prognostication in brain diseases—particularly stroke—using imaging and deep learning. Dr. Liu is a recipient of the prestigious K99/R00 award for his work on integrating large language models with imaging-based deep learning for stroke outcome prediction.
Prior to joining Stanford, Dr. Liu earned his Ph.D. in Physics and Biology in Medicine from UCLA under the mentorship of Prof. Kyung Sung. This rigorous training equipped him with a strong foundation in medicine, deep learning, and physics. His Ph.D. thesis, titled “Advancing Segmentation and Classification Methods in Magnetic Resonance Imaging via Artificial Intelligence,” focused on developing cutting-edge deep learning and machine learning techniques for MRI-based clinical applications. During his master’s studies, he conducted research on CT Virtual Colonoscopy under the guidance of Prof. Jerome Liang, an IEEE Fellow.
Dr. Liu has also made significant contributions to the academic community as a peer reviewer for leading journals, including The Lancet Digital Health, NPJ Digital Medicine, Medical Image Analysis, Medical Physics, Scientific Reports, British Journal of Radiology, BJR|Artificial Intelligence, Annals of Clinical and Translational Neurology, IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Radiation and Plasma Medical Sciences, IEEE Transactions on Biomedical Engineering, and IEEE Transactions on Neural Networks and Learning Systems.
Dr. Liu is an emerging leader in neuroimaging, stroke research, and artificial intelligence. His work has earned wide recognition, including the K99/R00 Award, the 2024 AJNR Lucien Levy Award, the David M. Yousem Research Fellow Award in both 2024 and 2025, and selection as a semi-finalist for the 2024 Cornelius G. Dyke Award. These honors underscore his promise as an investigator and his potential to make significant contributions to the field (https://med.stanford.edu/rsl/news/yongkai-liu-receives-research-fellow-award.html). His research has also been featured in Neurology Today, including his early work linking chain-of-thought methods with clinical reasoning to help advance the use of large language models in real-world clinical care (https://neurologytoday.aan.com/doi/10.1212/netod-blogs.10000031). -
Michael Loecher
Sr Res Engineer, Rad/Radiological Sciences Laboratory
BioMy research focuses primarily on improving methods for measuring flow and motion with MRI. My research interests range from image acquisition and reconstruction to error correction and post processing strategies.
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Andreas Loening
Associate Professor of Radiology (Body MRI)
Current Research and Scholarly InterestsMy lab focuses on expanding the capability of MR and PET/MR as it relates to applications in body imaging. Clinical research aims include the application of new or improved MR sequences to increase the speed, robustness, and diagnostic capability of body MR. Translation research aims include exploring new MR contrast mechanisms and contrast agents, such as for the stratification of cancer within the prostate and the evaluation of the lymphatic system.
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John D. Louie, MD
Clinical Professor, Radiology
Current Research and Scholarly InterestsMy research interests focus on interventional oncology which include radioembolization (SIR Spheres and Theraspheres), chemoembolization, and ablation.
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Darren P. Lum
Clinical Assistant Professor, Radiology
Current Research and Scholarly InterestsPhase Contrast Flow MRI, Valvular Heart Disease, Cardiovascular MRI
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Amelie Lutz
Adjunct Clinical Professor, Radiology
Current Research and Scholarly InterestsMolecular imaging in oncology
Peripheral Nerve Imaging
Cellular imaging of musculoskeletal inflammatory diseases
Kinematic musculoskeletal imaging
Magnetic resonance imaging of hepatic disorders -
Mohammad Madani
Adjunct Clinical Assistant Professor, Radiology
Current Research and Scholarly Interestscardiovascular and thoracic imaging research; interested trainees or collaborators may contact me at mmadani@stanford.edu
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Abdelkader Mahammedi
Clinical Associate Professor, Radiology
BioDr. Abdelkader Mahammedi is Associate Professor of Neuroradiology at the Department of Radiology, Stanford University School of Medicine. He completed medical school at the University of Algiers in Algeria, and then continued a postdoctoral research fellowship in Diagnostic Radiology at Johns Hopkins Hospital under the mentorship of Dr. Stanley Siegelman. Prior to becoming a specialist neuroradiologist, Dr. Mahammedi completed a Neuroradiology fellowship at the Cleveland Clinic Imaging Institute after having completed residencies in both Nuclear Medicine and Diagnostic Radiology. His specialty interests include brain tumors, stroke, small vessel disease, head and neck imaging, and functional magnetic resonance imaging (fMRI). Dr. Mahammedi has contributed to over 30 peer-reviewed publications, including lead authoring multiple articles in high-impact journals. During the beginning of the COVID-19 pandemic, he led and collaborated with multiple institutions from Italy, Spain, and Brazil. His work was considered the first and largest study in the literature that systematically characterized neurological symptoms and neuroimaging features in hospitalized COVID-19 patients, which was published in the journal Radiology. Recently, he has published the most recent multicenter and global COVID-19-related articles, which were featured by the international media in more than 25 languages including 200 newspapers, CNN, BBC, NPR, local televised broadcasts, and the 2020 RSNA Press Release. He co-authored multiple books, including “Imaging Appearance of Migraine and Tension Type Headache” and "Humanizing BrainTumors: Strategies for You and Your Physician" which was published in 2022. Dr. Mahammedi has received numerous awards and honors, including being selected as a semi-finalist for the prestigious Cornelius Dyke Award of the American Society of Neuroradiology (ASNR) 2021, and Best Case Award at the American Institute of Radiologic Pathology (AIRP) in Neuroradiology. In 2014, he was recognized as one of the authors with top-cited articles for his work in the Journal of Thoracic Imaging at the Society of Thoracic Imaging (STR) meeting, where he introduced a new technique for early detection of pulmonary hypertension on CT scans.
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Rim Malek
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsMy work is focused on the development of small molecules radiotracers for cancer imaging, and small molecules and peptides theranostics for cancer detection, targeted radionuclide therapy, and monitoring of tumor response to therapy.
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Noeen Malik, PhD
Industry Partnership Lead, Operations CRF-1701 Page Mill Rd, Rad/Molecular Imaging Program at Stanford
Current Role at StanfordOperations Head (CRF-Page Mill Facility)
CRF, MIPS, Stanford School of Medicine, Stanford | February 2025 — present
Industry Partnership Lead
CRF, MIPS, Stanford School of Medicine, Stanford | May 2024 — present
Lead Radiochemist (R & D Scientist Engineer 2)
CRF, MIPS, Stanford School of Medicine, Stanford | March 2023 — present
Physical Science Research Scientist
CRF, MIPS, Stanford School of Medicine, Stanford | January 2022 — March 2023
Responsibilities:
• Overseeing operations of new Page Mill Road Facilty (CRF-1701 Page Mill)
• R & D of radiopharmaceuticals for oncology and neuroscience
• Industrial collaborations and partnerships
• Drafting and filing drug applications with regulatory agencies (CMCs, INDs)
• Documentation control for audits and in compliance with FDA, Boards of Pharmacy, USP, NRC, and PET CGMP standards.
• Market strategic report for theragnostic-isotopes for Nextgen Cyclotron project
• CRF website development
https://cyclotron.stanford.edu/ -
Parag Mallick
Associate Professor (Research) of Radiology (Diagnostic Sciences Laboratory)
Current Research and Scholarly InterestsThe Mallick Lab is focused on using integrative, multi-omic approaches to model the processes that govern cellular dynamics and to use those models to discover cancer biomarkers and molecular mechanisms.
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Wilfred Manzano
Clinical Instructor, Radiology
BioRadiology attending, clinical instructor
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Michael P. Marks, MD
Professor of Radiology (General Radiology), Emeritus
Current Research and Scholarly InterestsInterventional neuroradiology; cerebral arteriovenous malformations; stroke treatment and imaging; cerebral aneurysms
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Lynne Martin, MD
Clinical Assistant Professor, Radiology
BioDr. Martin is an interventional radiologist with Stanford Health Care Interventional Radiology. She is also a clinical instructor in the Department of Radiology, Division of Nuclear Medicine and Molecular Imaging at Stanford University School of Medicine.
Dr. Martin specializes in interventional oncology (minimally invasive cancer treatments). She diagnoses and treats venous (vein) disease, including venous occlusion (when a vein becomes narrowed or blocked by nearby structures), deep vein thrombosis (DVT), and vascular malformations (abnormal development of blood vessels). She also focuses on the management of cirrhosis (severe scarring of the liver) and portal hypertension (elevated pressure in a large abdominal vein). Additionally, she treats women’s health issues, such as fallopian tube blockages, chronic pelvic pain, pelvic venous disease, and uterine fibroids. She is a specialist provider for patients with HHT and pulmonary AVMs as well as patients with vascular malformations (arterial, venous, venolymphatic).
Her research interests include treatments for portal vein thrombosis (clotting), liver cancer, and health care disparities. She has also studied intra-arterial corticosteroid treatment for inflammatory bowel disease. In addition, she has explored the use of bronchial artery embolization (blocking a blood vessel) for the treatment of hemoptysis (coughing up blood) in people with cystic fibrosis.
Dr. Martin twice received the Society of Interventional Oncology (SIO) Scholarship Award. She won first place in SIO’s Artificial Intelligence Hackathon. She has also twice received the Etta Kalin Moskowitz Fund Research Award.
Dr. Martin has published in peer-reviewed journals, including the Journal of Clinical Medicine, Neuropeptides, and Journal of Vascular and Interventional Radiology. She has delivered presentations at a number of professional society meetings, including the SIO, the Society of Interventional Radiology (SIR), and the Radiological Society of North America (RSNA).
Dr. Martin is a member of several professional groups, including SIO, SIR, and RSNA. She also serves on committees such as SIO’s Education Committee and Stanford’s Performance Improvement Committee. -
Tarik F. Massoud, MD, PhD
Professor of Radiology (Neuroimaging and Neurointervention)
Current Research and Scholarly InterestsMy current interests are in molecular and translational imaging of the brain especially in neuro-oncology and cerebrovascular diseases, experimental aspects of neuroimaging, clinical neuroradiology, neuroradiological anatomy, and research education and academic training of radiologists and scientists.
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Charles McGrath
Postdoctoral Scholar, Radiological Sciences Laboratory
BioCharles McGrath is a postdoctoral scholar at the Radiological Sciences Laboratory (RSL) at Stanford University, working with Dr. Daniel Ennis on cardiovascular magnetic resonance imaging. His research focuses on flow imaging, particularly 4D flow MRI and the quantification of complex hemodynamics and on building open, reproducible simulation tools that support methods development across the cardiovascular MR community.
He earned his Dr.Sc. in Biomedical Engineering from ETH Zurich in 2024, advised by Prof. Sebastian Kozerke, with a thesis on simulation and optimal sequence design for lower-field cardiovascular MRI. During his doctoral work, he developed referenceless 4D flow MRI techniques using radial balanced SSFP at lower field strengths and contributed to widely used open-source tools for cardiovascular MR simulation (CMRsim) and sequence design (CMRseq). He is an active advocate for open science in the MR community and continues to develop and maintain these tools as part of his research practice. He previously received an M.Sc. with distinction in Biomedical Engineering (Medical Physics) jointly from ETH Zurich, and a B.A.Sc. in Engineering Physics from the University of British Columbia. -
Jennifer A McNab
Associate Professor (Research) of Radiology (Radiological Sciences Laboratory)
Current Research and Scholarly InterestsMy research is focused on developing magnetic resonance imaging (MRI) methods that probe brain tissue microstructure. This requires new MRI contrast mechanisms, strategic encoding and reconstruction schemes, physiological monitoring, brain tissue modeling and validation. Applications of these methods include neuronavigation, neurosurgical planning and the development of improved biomarkers for brain development, degeneration, disease and injury.
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Robert Mindelzun
Professor of Radiology at the Stanford University Medical Center, Emeritus
Current Research and Scholarly InterestsAbdominal imaging,
Anatomy.
Mesenteries,
Peritoneum,
Omentum,
Pancreatic anatomy
Embryology.
Third World diseases.
Abdominal trauma. -
Gabriel Mistelbauer
Senior Research Engineer, Rad/Cardiovascular Imaging
BioGabriel Mistelbauer is a senior research engineer in the Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA, since 2022. Previously, he was a research associate at the Otto-von-Guericke University Magdeburg, Germany (2016-2022) and a postdoctoral researcher at TU Wien, Austria (2013-2016). He received a PhD in Computer Science, in the field of Medical Visualization, in 2013 at TU Wien, Austria, and the habilitation (venia legendi) in Computer Visualization (Computervisualistik) in 2024 at Otto-von-Guericke University Magdeburg, Germany. His research focuses on visual computing and image processing in medicine, in particular on the analysis of vascular structures.
