School of Medicine
Showing 1-50 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.
