Stanford University
Showing 2,751-2,800 of 2,806 Results
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Moss Zhao
Instructor, Neurosurgery
BioDr. Moss Zhao is an Instructor at Department of Neurosurgery, Stanford University. 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. -
Zhixiang Zhao
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioZhixiang is interested in front-end and system-level design of high-performance molecular imaging instrumentation. Currently, he is working on the FPGA based readout system for ToF-PET scanners with 100 ps time resolution.
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Zhuo Zheng
Postdoctoral Scholar, Computer Science
BioMy research interests are Earth Vision and AI4Earth, especially multi-modal and multi-temporal remote sensing image analysis and their real-world applications.
First-author representative works:
- Our Change family: ChangeStar (single-temporal learning, ICCV 2021), ChangeMask (many-to-many architecture, ISPRS P&RS 2022), ChangeOS (one-to-many architecture, RSE 2021), Changen (generative change modeling, ICCV 2023)
- Geospatial object segmentation: FarSeg (CVPR 2020) and FarSeg++ (TPAMI 2023), LoveDA dataset (NeurIPS Datasets and Benchmark 2021)
- Missing-modality all weather mapping: Deep Multisensory Learning (first work on this topic, ISPRS P&RS 2021)
- Hyperspectral image classification: FPGA (first fully end-to-end patch-free method for HSI, TGRS 2020) -
Xiaoxu Zhong
Postdoctoral Scholar, Radiation Physics
BioXiaoxu is a postdoctoral scholar in the Guillem Pratx Lab. He earned his Bachelor of Science and Master of Science degrees in Ocean Engineering from Shanghai Jiao Tong University. His Ph.D. in Mechanical Engineering from Purdue University focused on mathematical modeling for spring-driven autoinjectors and cavitation bubbles. Currently, He is investigating the physical process by which ionizing radiation nucleates nano-sized bubbles.
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Yong Zhong
Postdoctoral Scholar, Photon Science, SLAC
Current Research and Scholarly InterestsI focus on the emergent properties of transition metal dichalcogenides using synchrotron-based spectroscopic methods.
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Quan Zhou
Instructor, Neurosurgery
Current Research and Scholarly InterestsCurrent Research Focus: molecular targeted theranostic imaging of brain tumor and enhanced drug delivery
Areas of Insterests: molecular imaging, theranostics, fluorescence-guided surgery, brain tumor, drug delivery
Dr. Zhou has made substantial contributions to the growing biomedical research field of Molecular Imaging. Molecular imaging emerged in the mid twentieth century as a highly specialized discipline at the intersection of molecular biology and in vivo imaging, focusing on imaging molecules of medical interest within intact living subjects. Dr. Zhou’s research addresses some of the nation’s most pressing issues related to the development of effective approaches for accurate detection of human diseases and improving their treatment outcome. Her innovations in molecular imaging technology enables the visualization, characterization, and quantification of biologic processes taking place at the cellular and subcellular levels. The multiple and numerous potentialities of Quan’s work are applicable to the diagnosis of diseases such as cancer, neurological and cardiovascular diseases. Her strong education background in biological sciences and biomedical engineering followed by postdoctoral training in translational and clinical research have helped her develop multiple disease-specific molecular probes and imaging strategies for early cancer diagnosis, image-guided surgery, therapeutic delivery prediction and at-risk cardiovascular plaque detection. Her research also contributes to improving the treatment of these disorders by testing and optimizing the execution of new interventions. Her work is expected to have a major economic impact due to earlier disease detection and personalized therapy.
Dr. Zhou’s research has led to emergence of novel solutions and opportunities, in particular, for molecular imaging of cancer and other diseases, for discovering, leveraging and integration of cancer biomarker and tumor microenvironment information, and for novel approaches to acquire real-time high-resolution contrast enhanced visualization of tumor margin and optimization based on imaging depth, quality and speed. Dr. Zhou has been able to formulate the involved clinical and biological problems into biomedical engineering frameworks and find ways to exploit a variety of modern techniques and approaches from photoacoustic imaging, fluorescence-guided surgery, micro-electromechanical systems and therapeutic delivery strategies in developing elegant and effective solutions. Her work in the Neurosurgery Department and Molecular Imaging Program at Stanford involves research related to developing tumor-specific molecular probes, advanced imaging methods and therapeutic delivery systems for adult and pediatric patients with malignant brain cancers to improve margin detection, enhance resection accuracy, and improve treatment outcome. -
Sa Zhou
Postdoctoral Scholar, Psychiatry
BioSa Zhou completed her Ph.D. in Biomedical Engineering at The Hong Kong Polytechnic University, under the supervision of Dr. Xiaoling Hu and Prof. Yongping Zheng. Her Ph.D. research focused on quantitative evaluation and targeted therapeutics for sensory-motor rehabilitation in stroke patients. She developed strong interests in developing closed-loop brain-computer interface (BCI)-driven neuromodulation and robotic systems, designing neuro-behavioral measurements, and understanding functional connectivity in brain networks based on multimodal neurophysiological signals. At Stanford, Sa will contribute her interdisciplinary expertise to the field of cognitive enhancement to prevent cognitive decline and brain aging in the elderly at risk for Alzheimer’s disease (AD) or AD related dementia (AD/ADRD). Outside of the lab, you can find Sa engaging in strength training deadlifting/squatting/running in the gym to enhance her own sensory/motor/cognitive functions.
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Zixia Zhou
Postdoctoral Scholar, Radiation Physics
BioZixia Zhou is a postdoctoral researcher at Department of Radiation Oncology, Stanford University. Before starting her postdoc, she received a Ph.D. degree in Biomedical Engineering in 2021 from Fudan University. She is interested in improving medical imaging quality in cost-effective manners with artificial intelligence. Broadly, her research focuses on high spatio-temporal ultrasound image reconstruction and high-dimensional data reduction and visualization.
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Wenjuan Zhu
Postdoctoral Scholar, Cardiovascular Institute
BioBioinformatics scientist
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Claudia Zielke
Postdoctoral Scholar, Bioengineering
BioAfter a BS and MS in Chemistry from the Freie Universität Berlin, Germany, I used my expertise in physical and analytical Chemistry to received a PhD from the Department of Food Technology, Engineering and Nutrition at Lund's University in Sweden. I specialized within the Field-Flow Fractionation family, a very versatile and gentle separation technique able to separate large size ranges, from nanometer up to several micrometer. My thesis was titled "On the Aggregation of Cereal β-Glucan and its Association with other Biomolecules: A Study using Asymmetric Flow Field-Flow Fractionation (AF4)". After a postdoctoral position at Santa Clara University, CA, USA, I am now setting up an Asymmetric Flow Field-Flow Fractionation system with several detectors in the Barron Lab, BioE, here at Stanford.
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Daniel Zimmer
Postdoctoral Scholar, Infectious Diseases
Current Research and Scholarly InterestsMy research focuses on the scientific history of anthropogenic existential risk and its impact on Western political thought. I focus in particular on the development of massed thermonuclear arsenals during the 1950s, the rise of Earth System science and attendant ecological risks during the 1980s, and the anxieties surrounding the prospect of artificial super intelligence that took hold in the 2000s.
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Judith Zimmermann
Postdoctoral Scholar, Radiological Sciences Laboratory
BioI am a postdoctoral scholar focusing on advancing breast magnetic resonance imaging, advised by Dr. Brian Hargreaves at the Radiological Sciences Laboratory (RSL), Body Magnetic Resonance (BMR) Group. I received my PhD from the Department of Computer Science, Technical University of Munich in 2021, jointly with the CMR Lab at Stanford, advised by Dr. Daniel Ennis. My PhD work focused on four-dimensional flow magnetic resonance imaging. After completion of my PhD studies, and prior to joining Dr. Hargreaves' lab, I was with the Breast Imaging Research Group (Dr. Nola Hylton) at UCSF.
