School of Medicine
Showing 1-50 of 101 Results
-
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.
-
Ugur Aygun
Postdoctoral Scholar, Radiology
BioUgur Aygun is a Marie Skłodowska-Curie Global Fellow working as a postdoctoral researcher at Canary Center for Early Cancer Detection, Stanford University. He received his PhD in electrical engineering, specializing in optical biosensors, optical microscopy, computational imaging, and spectroscopy. His research focusing on the development of novel optical imaging techniques for biomedical applications.
-
Shashank Chetty
Postdoctoral Scholar, Radiology
BioMCHRI Post-doctoral Fellow
-
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. -
Thomas Guenther
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsCurrent research projects include the development of:
1) Gastrin-releasing peptide receptor (GRPR) targeted radiotheranostics (Cu-64, Ga-68, Tb-161, Lu-177, amongst others)
2) Radiohybrid-based cholecystokinin-2 receptor (CCK-2R) targeted radiotheranostics (F-18, Lu-177)
3) Radiotherapeutics for targeted alpha-particle therapy
4) Radiotheranostics for novel targets
All projects have a strong focus on clinical translation -
Alix Guevara Tique
Postdoctoral Scholar, Radiology
BioPostdoctoral Scholar IRIS
-
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.
-
Hoda Hashemi
Postdoctoral Scholar, Radiological Sciences Laboratory
BioHoda S. Hashemi is a postdoctoral scholar at the Ultrasound Imaging & Instrumentation Lab at Stanford University. She received her PhD in Electrical and Computer Engineering from the University of British Columbia (UBC) in 2023. She was also an ultrasound research intern in research and innovation team at DarkVision Technologies Inc. from 2021 to 2023. She holds a M.A.Sc. from Concordia University and a B.Sc. from Sharif University of Technology. Her research interests are ultrasound molecular imaging, doppler imaging, elastography and deep learning. Her research has been funded by the NIH T32 Fellowship at Stanford, the Canadian NSERC Postdoctoral Fellowship, and the Ultrasound Imaging & Instrumentation Lab at Stanford University.
-
Elima Hussain
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsExplainable AI and Federated Learning
-
Mojtaba Jafaritadi
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsDr. Jafaritadi is working on signal processing and machine learning applications in cancer, cardiac, and brain PET imaging. His research focuses on generative AI for image correction, image-to-image translation, and image denoising. He is also interested in working on data- and device-driven motion tracking and correction systems for PET imaging using deep neural networks.
-
Donghoon Kim
Postdoctoral Scholar, Radiology
BioDr. Donghoon Kim is a postdoctoral scholar at Stanford's Center for Advanced Functional Neuroimaging. Before joining Stanford, he earned his Ph.D. in Biomedical Engineering from University of California, Davis, supervised by Dr. Youngkyoo Jung. His Ph.D. thesis was titled "Deep Learning-Driven Technical Developments and Clinical Applications of Arterial Spin Labeling MRI". During his Ph.D. studies, he focused on the development of advanced deep learning techniques for ASL MRI, and its clinical applications. During his master's degree in Biomedical Engineering at Virginia Tech-Wake Forest University, he studied the functional connectivity of the default mode network using resting state BOLD fMRI among youth football players, supervised by Dr. Christopher Whitlow and Dr. Youngkyoo Jung.
-
Manoj Kumar
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsI work on imaging-guided therapy using PET and MR imaging approaches. My academic training and background is in molecular imaging. During my doctoral training, I developed and validated a PET imaging approach for evaluating endocrine therapy responses in advanced breast cancer. My current research focuses on imaging tumor immune markers and responses to cancer immunotherapy. The goal is to develop new imaging toolboxes to monitor and guide treatment. Specifically, I employ antibodies, nanoparticles, and reporter genes for imaging and combinations of therapies to modulate and restore the body's suppressed immune functions against cancer cells. This is being done in collaboration with teams of researchers in early clinical development and teams in clinical practice.
-
Jeong Hoon Lee
Postdoctoral Scholar, Radiology
BioLeveraging a strong foundation in data science and engineering, my objective is to address challenges within the biomedical sector. My experience encompasses a broad spectrum of data, including radiology, genomics, histopathology, and clinical data. I am committed to integrating these diverse datasets to conduct research aimed at benefiting patients.
-
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 interests lie in developing and evaluating advanced techniques for improving treatment decision-making and prognostics in brain diseases, especially stroke, using imaging and deep learning.
Before joining Stanford, he earned a Ph.D. from UCLA, majoring in Physics and Biology in Medicine, under the supervision of Prof. Kyung Sung. This gave him a solid 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 the development of advanced deep learning and machine learning techniques specifically for MRI-based clinical applications. During his master's degree, he studied CT Virtual Colonoscopy under the supervision of Prof. Jerome Liang. In addition, he served as a reviewing editor for Frontiers in Oncology and as a peer reviewer for 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.
Dr. Liu is an emerging leader in neuroimaging, stroke, and AI, earning widespread recognition for his work. His being named a recipient of the 2024 David M. Yousem Research Fellow Award and a semi-finalist for the 2024 Cornelius G. Dyke Award from the American Society of Neuroradiology underscores his potential to make significant future contributions.(https://med.stanford.edu/rsl/news/yongkai-liu-receives-research-fellow-award.html) -
Ning Lu
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioNing Lu received a joint Ph.D. degree in Biomedical Engineering and Scientific Computing from the University of Michigan, Ann Arbor, USA, in 2023. Previously, she earned a B.S.E. degree (highest honors) in Biomedical Engineering from Southeast University, Nanjing, China, in 2018. From May 2022 to September 2022, she worked at Meta (formerly Facebook) Reality Labs as a research scientist intern on ultrasonic eye tracking for AR/VR wearable devices, in Redmond, Washington, USA. Her research interests include ultrasound instrumentation, ultrasound therapy, ultrasound imaging algorithms, and AI in healthcare.
-
Panpan MA
Postdoctoral Scholar, Radiology
BioTargeted drug delivery, Therapeutic Ultrasound, Tumor Biology, Cancer Research, Pharmaceutical, Nanomedicine, Clinical Research
-
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.
-
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.