School of Medicine
Showing 1-97 of 97 Results
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Javier Ajenjo Barcenas
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioJavier received his MSci from the University Complutense in Madrid (Spain). He then moved to Prague (Czech Republic) where he earned his PhD degree in Chemistry from Univerzita Karlova under the supervision of Dr Petr Beier at IOCB, working on the synthesis and derivatization of hypervalent sulfur fluorides. During this period, he also took part as ESR of FLUOR21 initial training network led by Prof Graham Sandford (Durham University) and collaborated with F2 Chemicals Ltd. Later, he joined the University of Oxford (UK) as a postdoctoral research fellow to work on the synthesis and biological evaluation of F18-labeled ATM inhibitors under the supervision of Prof Bart Cornelissen. In 2021, he joined Ferrara lab as a postdoctoral scholar to work on the development of radiochemistry methods and the synthesis of therapeutics for medical imaging.
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Neha Antil
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsMolecularly-Targeted Contrast Enhanced Ultrasound in Ovarian Cancer
Automated Volumetric Molecular Ultrasound for Breast Cancer Imaging
Gynecological Imaging
Peripheral Nerve Imaging
Novel Ultrasound Imaging
Lung Ultrasound -
Shashank Chetty
Postdoctoral Scholar, Radiology
BioMCHRI Post-doctoral Fellow
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Erpeng Dai
Postdoctoral Scholar, Radiological Sciences Laboratory
BioDr. Erpeng Dai mainly focuses on technique development for high-resolution and high-efficiency diffusion MRI (dMRI). Previously, he optimized the navigator acquisition for multi-shot interleaved EPI dMRI and further combined it with simultaneous multi-slice (SMS) for improved scan efficiency. Meanwhile, he also merged SMS and multi-slab techniques to achieve high-resolution isotropic imaging. Currently, Erpeng Dai is mainly working on developing high-fidelity and high-resolution dMRI, cortical dMRI and microstructure studies.
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Jean Benoit Delbrouck
Postdoctoral Scholar, Radiology
BioStanford Center for Artificial Intelligence in Medicine and Imaging (AIMI Center)
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Ali Anil Demircali
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioAli Anil Demircali received B.Sc, M.Sc., and Ph.D. degrees in Mechatronics Engineering at Yildiz Technical University, Istanbul, Turkey, in 2015, 2017, and 2021, respectively. Then he pursued his career in optical hollow-core fiber development at the Hamlyn Center for Robotic Surgery in Imperial College London, United Kingdom between 2021 and 2022. He is currently doing a second Post. Doc. in the Department of Radiology, Molecular Imaging Programme (MIPS) at Stanford University, USA. Currently, he is working on magnetically levitated cancer cell separation and sorting with high throughput, and its application on wearable devices. His main areas of research interest are not limited to but include Micro-Nano Robotics and Fluidics, Mechanical Design and Optimization, Magnetic Levitation, and Sensory Systems.
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Tommaso Di Ianni
Postdoctoral Scholar, Radiology
BioI am a postdoctoral research fellow at Stanford School of Medicine in the Department of Radiology. My primary research focus is in the development of cutting-edge technological innovations for imaging and noninvasive targeted drug delivery based on ultrasound. I strive to implement tools with high potential for clinical translation and aim at producing a substantial impact on the clinical practice.
At the moment, I am working on the systematic and noninvasive manipulation of the nervous system by using focused ultrasound combined with ultrasound-activated drug carriers. In addition, I am implementing functional imaging of brain-wide neuronal activity based on power Doppler ultrasound as a readout of the neuromodulation. -
Phillip DiGiacomo
Postdoctoral Scholar, Radiological Sciences Laboratory
Current Research and Scholarly InterestsMy work aims to integrate multimodal ex vivo imaging data, including histology, specimen MRI, and advanced microscopy to characterize iron-mediated neuroinflammation in Alzheimer’s disease. The ultimate goal of this work is to better understand the complex pathological picture of Alzheimer's disease and translate these ex vivo findings to in vivo MRI and MR/PET of patients to identify and develop robust imaging-based biomarkers of disease and identify novel therapeutic targets.
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Koray Ertan
Postdoctoral Scholar, Radiological Sciences Laboratory
BioKoray Ertan received his BSc degree in the Department of Electrical and Electronics Engineering at Bilkent University, Turkey. He completed his PhD in the same department under the supervision of Prof. Ergin Atalar. During his PhD, he worked as a researcher at National Magnetic Resonance Research Center (UMRAM) of Turkey. His thesis study is the development of novel magnetic resonance imaging (MRI) technologies such as gradient array systems for increasing diagnostic quality of the MR images, reducing the specific absorption rate and scan time.
He joined Prof. Brian Rutt's group as a postdoctoral researcher in April 2019. Later, he was also affilated as a MINDED postdoctoral fellow in June 2019. As part of the MINDED program, his current research focuses on a system for modulating the permeability of the blood brain barrier using focused radio frequency heating generated from ultra-high field MRI transmit coils for enhanced treatment of neurodevelopmental disorders with nanomedicines. Additionally, his research interest mostly includes MRI technolgies such as RF pulse design, gradient systems, field monitoring, multi-coil gradient and shim arrays. -
Praveen Gurunath Bharathi
Postdoctoral Scholar, Radiology
BioPraveen joined the Nuclear Medicine and Molecular Imaging, Department of Radiology as a Postdoctoral Research Fellow where he will be working on predictive and real-time PET image quality monitoring using Machine learning. Previously, he worked as a Postdoctoral Research Associate at the University of Manchester, UK where he developed an inexpensive imaging & automated analysis system to support early diagnosis of Systemic Sclerosis. He received his Ph.D. in Electrical & Electronics Engineering from the Birla Institute of Technology and Science (BITS), Pilani. His Ph.D. research was focused on developing an automated intelligent decision support system for multiple brain disorder diagnosis from MRI scans. His research is mainly in the interdisciplinary field of deep learning and medical image analysis. In particular the application of deep learning models to improve disease prognosis. He completed his Master's in Biomedical Signal Processing & Instrumentation from RV College of Engineering, India. During his master's he worked as a project intern in the Department of Aerospace Engineering at the Indian Institute of Science (IISc, Bangalore) where he worked on the application of 3D digital image correlation to perform strain analysis on the human body during various physical activities.
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Kaiwen Hsiao
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioKaiwen Hsiao a postdoctoral researcher at Stanford in the DeSimone lab. Her postdoctoral research focuses on developing high-resolution 3D CLIP printers and developing stereolithography computational models. Her research interests involve in fabricating micro-architectures for bio-oriented applications and microelectronic applications. Before she join Stanford, she worked on computational lithography as a design engineer at Intel and at Apple camera hardware. She did her PhD at University of Illinois at Urbana Champaign in Schroeder lab where she focused on understanding the intermolecular interactions of concentrated polymer solutions and ring polymers.
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Mojtaba Jafaritadi
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsDr. Jafaritadi is working on the device- and data-driven motion estimation systems for brain PET imaging. His research focuses on motion tracking using multidimensional MEMS motion sensors, signal processing, and machine learning. He is also interested in working on data-driven motion correction and image enhancement for PET/MRI using deep neural networks.
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Yongkai Liu
Postdoctoral Scholar, Radiology
BioDr. Yongkai Liu is a postdoctoral scholar at Stanford’s Center for Advanced Functional Neuroimaging, led by Drs. Greg Zaharchuk and Michael Moseley. His specific study areas include Medical Image Segmentation and Classification, PET/MRI, and Artificial Intelligence. Dr. Liu received his Ph.D. in Physics&Biology in Medicine from the University of California, Los Angeles (UCLA), under the supervision of Prof. Kyung Sung. He studied CT Virtual Colonoscopy under the supervision of Prof. Jerome Liang and Chaijie Duan during his master's degree. He served as a peer reviewer in several critical journals in medical imaging, such as IEEE Transactions on Medical Imaging (TMI), Medical Physics, IEEE Transactions on Radiation and Plasma Medical Sciences, and IEEE Transactions on Biomedical Engineering.
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Golnaz Moallem
Postdoctoral Scholar, Radiology
BioGolnaz Moallem is a postdoctoral research fellow at the Personalized Integrative Medicine Laboratory in the Department of Radiology at Stanford University. Her research interests include machine learning and computer vision applications in clinical data analysis, particularly the design and development of deep vision systems for medical image analysis including image classification and object detection. She completed her B.S. degree in electrical engineering from Isfahan University of Technology, and her M.S. and Ph.D. degrees in Electrical Engineering from Texas Tech University.
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Sanaz Nazari Farsani
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioDr. Nazari Farsani works on developing and implementing machine learning techniques for automated tissue segmentation from brain PET/MR images. She is also developing machine learning algorithms for PET data correction and de-noising.
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Kerem Nernekli
Postdoctoral Scholar, Radiology
BioProfessional Education
Doctor of Medicine, Gazi University Faculty of Medicine (2020) -
Shirin Pourashraf
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsMy working is focused on building a 100 ps CTR pre-clinical partial ring TOF-PET scanner; specifically, by exploring, and designing high speed low noise/jitter instrumentation, and data acquisition.
I am also designing an scalable side-readout electronic to detect Cherenkov radiation and improve TOF resolution in PET detectors using BGO crystals. -
Shobha Regmi
Postdoctoral Scholar, Radiology
BioResearch interest: Mesenchymal stem cell transplantation, Stem cell biology, Islet transplantation, Biomaterials, Drug delivery
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Angelie Rivera Rodriguez
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioAngelie Rivera Rodriguez received her B.S. in Industrial Biotechnology at the University of Puerto Rico - Mayagüez. She then moved to the U.S.A., where she earned her Ph.D. in Biomedical Engineering at the University of Florida under the supervision of Dr. Carlos Rinaldi-Ramos. Her thesis was focused on biomedical applications of iron oxide magnetic nanoparticles for cancer thermal treatment and cell tracking using Magnetic Particle Imaging. In Summer 2022, Angelie joined Stanford University as a postdoctoral scholar under the supervision of Dr. Katherine Ferrara and Dr. Michelle James working at the intersection of nanomedicine and medical imaging.
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Sushruta Surappa
Postdoctoral Scholar, Radiology
BioSushruta Surappa is a postdoctoral researcher at the Canary Center for Early Cancer Detection at Stanford University. His current research focuses on developing various MEMS-based tools for the separation and capture of extracellular vesicles for medical diagnostics. Sushruta received his MS (‘15) and PhD (‘21) degrees in Mechanical Engineering from Georgia Institute of Technology, where he developed a new class of nonlinear MEMS transducers with applications in wireless power transfer, sensing and energy harvesting. He is passionate about developing low-cost, miniature technologies for medical diagnostics and is a keen proponent of science communication.
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Zahra Shokri Varniab
Postdoctoral Scholar, Radiology
BioZahra Shokri Varniab, MD, studied medicine at Tehran University of Medicine Sciences, Iran, and earned her medical degree in 2020. Her goal in novel cellular and molecular imaging is to develop novel in vivo imaging approaches to visualize, characterize and quantify molecular and cellular processes involved in developing osteosarcoma and arthritis. She intends to utilize non-invasive imaging techniques to assess tumor-associated macrophages (TAMs) to understand their role in cancer, develop a method for determining tumor profiles, selecting patients for individualized immunotherapy, and monitoring their results. She hopes cancer to be history.
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Peyman Shokrollahi
Postdoctoral Scholar, Radiology
BioDr. Shokrollahi is a research scholar at the Department of Radiology, with a research focus on developing an artificial intelligence system for preimage protocols on magnetic resonance imaging (MRI) and computerized tomography (CT) scans. He completed his PhD at the University of Toronto (UofT) in Biomedical Engineering before moving to the Radiology Department in 2020. He earned his master's and a bachelor's degree in Electrical and Computer Engineering. His research focused on developing magnetically actuated devices, MRI-compatible surgical robots, and machine learning techniques for medical applications. He developed and implemented a magnetically actuated microrobot for sampling microbiome in the gastrointestinal tract, an MRI-compatible robot for pediatric bone biopsy, and an automated system for detecting eye movements during sleep. In addition to research, Dr. Shokrollahi taught four courses at the undergraduate and graduate level at UofT and Ryerson University, Toronto, Canada. He is a member of the International Society for Magnetic Resonance in Medicine.
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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. -
Rogier van der Sluijs
Postdoctoral Scholar, Radiology
BioI am a postdoc at the Center for Artificial Intelligence in Medicine & Imaging (AIMI) at Stanford University. As a medical doctor, epidemiologist, and scientist, my aim is to optimize healthcare through predictive modeling with a focus on deep learning in medical imaging.
Prior to joining AIMI, I obtained a PhD at the Department of Trauma Surgery at the University of Utrecht in the Netherlands. During my PhD, I developed mobile and desktop applications with integrated machine learning models (the Trauma Triage App) to aid field triage of trauma patients on the scene of injury. In addition, I worked on various deep learning projects, including fracture detection, localization, and classification, semantic segmentation of videos from robot-assisted surgery, and NLP-related projects. -
Alexander Wilson
Postdoctoral Scholar, Radiological Sciences Laboratory
BioDr Wilson completed a Bachelor of Science in Biomedical Science (University of Auckland, New Zealand, 2007), and a Postgraduate Diploma in Medical Sciences (UoA, 2008).
He then changed his focus to engineering and applied mathematics, and completed a Masters of Operations Research (UoA, Faculty of Engineering, 2011). In his Master's thesis, he developed a mixed-integer linear formulation for determining optimal electricity distribution tariffs under a range of power generation conditions.
Dr Wilson then switched back his focused to the Medical Sciences and completed a PhD in Bioengineering with a joint appointment in the Department of Physiology and the Auckland Bioengineering Institute. His Doctoral thesis (2018) focused on the physiology and biomechanics of cardiac remodeling underpinning heart failure.
During his first Postdoctoral position (University of South Florida Heart Institute, 2018-2019), Dr Wilson developed nanoparticle therapies for myocardial ischemia-reperfusion injury, as well as anti-thrombin nanoparticles to reduce thrombus formation while limiting bleeding risk.
Dr Wilson is currently a member of the Cardiac MRI Research Group at Stanford University (PI: Professor Daniel Ennis), and works on a range of projects including (i) using tissue clearing techniques to understand the fundamental branching structure of the myocardium (ii) developing new diffusion tensor MRI reconstruction techniques for extracting cardiac microstructure and pathology (iii) using MRI and histology to understand the myocardial structural and functional improvements brought about by ACE inhibitor treatment.
2022 WORK
● Wilson et al "Myocardial Mesostructure and Mesofunction" [2022 AJP-H&C]
● Wilson et al "Restored Torsion and Longitudinal Strain in ACE Inhibitor Treated Hypertension" [2022 ISMRM]
● Wilson et al "Assessment of Microstructural Remodeling in Myocardial InfarctionUsing Advanced Diffusion Metrics" [2022 SCMR]
2021 WORK
● Wilson et al "Graph-based Analysis Of Cardiomyocyte Network Connectivity" [2021 AHA:SS]
● Wilson et al "Collagen Remodeling Of Spontaneously Hypertensive Rats Undergoing Quinapril Treatment Measured By Three Dimensional Shape Analysis" [2021 BCVS]
● Wilson et al "Analysis of Location-Dependent Cardiomyocyte Branching" [2021 FIMH]
● Wilson et al "Microstructure-Based Simulation of Myocardial Diffusion Using Extended Volume Confocal Microscopy" [2021 ISMRM]
● Wilson et al "ACE Inhibitor Treatment Normalizes Apparent Diffusion Coefficient in Spontaneously Hypertensive Rats" [2021 SCMR]
2020 WORK
● Wilson et al "Relationship Between Myocyte Branching and Location Within Myocardial Sheetlet" [2020 AHA:SS]
● Wilson et al "Comparison of MRI-Derived Left Ventricular End-Diastolic Pressure-Volume Relationship with Ex Vivo Measurements" [2020 VPH]
● Wilson et al "Myocardial Laminar Organization Is Retained in Angiotensin-Converting Enzyme Inhibitor Treated SHRs" [2020 Exp Mech]
● Wilson et al "Formulation and Characterization of Antithrombin Perfluorocarbon Nanoparticles" [2020 Methods] -
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 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.
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Moss Zhao
Postdoctoral Scholar, Radiology
BioDr. Moss Zhao is a postdoctoral scholar at Stanford’s Center for Advanced Functional Neuroimaging led by Drs. Greg Zaharchuk and Michael Moseley. He develops cutting-edge and clinically viable imaging technologies to improve the diagnosis and treatment of cerebrovascular diseases across the lifespan. His specific areas of expertise include physiological modeling, arterial spin labeling, Bayesian inference, PET/MRI, and artificial intelligence. His scientific contributions could significantly improve the early detection of strokes and dementia as well as enrich the knowledge of brain development in the first two decades of life.
Dr. Zhao received his DPhil at St Cross College of University of Oxford under the supervision of Prof. Michael Chappell. As an alumni mentor, he supports the career development of students of his alma mater. Since 2016, he has presented his work to more than 3000 delegates at international conferences and held leadership positions in professional societies. His research and teaching are supported by the American Heart Association, the National Institutes of Health, and the European Cooperation in Science and Technology. -
Zheng Zhong
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsMy current research focuses on developing novel MRI imaging techniques to accelerate its acquisition speed, including MR sequence pulse design, novel encoding strategy, and deep learning.
