Mike Sano, PhD | CAP Profile
Dr. Sano studies the complex interaction between biological systems and electromagnetic fields. His research focuses on the development of advanced cancer detection, imaging, and treatment platforms. As a graduate student he developed a technique for building custom tissue scaffolds from the nano-scale up using electric fields to manipulate biological processes. For his Ph.D. he developed a platform technology for detecting cancer, contactless dielectrophoresis (cDEP), which sorts cells based on their electrical properties. As a postdoctoral fellow, he has been developing a minimally invasive cancer therapy, high frequency irreversible electroporation (H-FIRE), which destroys tumors using brief yet intense electrical pulses. Dr. Sano was also recently awarded the DOD Prostate Cancer Research Fellowship to study photo-acoustic ultrasound imaging techniques for distinguishing benign from malignant prostate cancer. More information on Dr. Sano’s research can be found on his professional website www.mikesano.com
Morteza Mardani Korani, PhD | CAP Profile
Morteza earned Ph.D. in Electrical Engineering with a PhD minor in Mathematics from the University of Minnesota, twin cities (September 2009 – May 2015). His background is generally on statistical signal processing and machine learning, where during the course of Ph.D. he has worked on various large-scale data and network science problems. Morteza was a Visiting Scholar with the AMP Big Data Lab and the International Computer Science Institute at UC Berkeley from January to May 2015. Since June 2015, he is a Postdoctoral Scholar at the School of Medicine, Stanford University, working with Prof. Lei Xing. He aims to leverage his learning background to develop healthcare data analytics that can facilitate the radiosurgery treatment of cancer patients. His current focus is on (i) real-time volumetric MRI image reconstruction for tumor localization in radiotherapy; and (ii) automated treatment planning from historical plans via deep learning.
Bulat Ibragimov, PhD | CAP Profile
Bulat Ibragimov received his BS in Computer Science from the Kazan State University in Russia and his PhD in Electrical Engineering from the University of Ljubljana in Slovenia. His dissertation was on landmark detection and model-based segmentation of medical images. During his study he was a visiting researcher at the University of Johns Hopkins and Toshiba Medical Visualization Systems, and won three public landmark detection and image segmentation challenges. His current research is focused on image analysis for radiotherapy planning.
Qiong Xu, PhD | CAP Profile
Qiong is working on reconstruction algorithm and data correction method for X-ray CT. This work aims to improve image quality and get more information for better diagnosis and IGRT.
Don Vernekohl, PhD | CAP Profile
Don is working on the next generation of dosimetry detectors build from diamondoid and nano-diamonds. He studied at the University of Münster and CERN where he worked on detector development and instrumentation. Beyond diamond detectors, he is interested in preclinical PET detectors based on semi-conductor and gas detectors as well as applications in high energy physics and radiation therapy.
Youming Yang, PhD | CAP Profile
Dr. Yang will be working on the development of a clinical MC QA system for rapid patient specific QA of VMAT and IMRT. Specifically, he will be improving on methods of patient-specific dose monitoring, verification, and 3D dose distribution reconstruction using Electronic Portal Imaging Device (EPID), for the purposes of improving the existing quantitative analysis tools for assessment of dosimetric discrepancy between planned and constructed doses. His research will provide a multi-faceted QA tool for safe, accurate and efficient VMAT/IMRT treatment and promise to revolutionize the clinical patient specific QA practice.
Dengwang Li, PhD | CAP Profile
Title: Medical image processing for automatic treatment planning. In the Xing lab he is working with Dr.Ruijiang Li and Dr. Xing Lei on the medical image processing with the application on the cancer treatment. Dengwang Li's project aims at developing automatic registration, segmentation and other image processing algorithms for efficient treatment planning.
Kai Cheng, PhD | CAP Profile
Dr. Cheng's research interests include the development of high-quality, well-defined imaging probes and therapeutic agents, and improvement of current biomedical application for the target delivery of therapeutic molecules, early diagnosis and treatment of cancers.
Anqi Fu, Life Science Research Professional
Anqi Fu received her B.S. in Electrical Engineering from the University of Maryland, College Park and her M.S. in Statistics from Stanford. Prior to joining the Xing Lab, she worked at H2O.ai on parallel machine learning algorithms for matrix factorization and low-rank modeling on distributed datasets. Her current research is focused on applications of convex optimization to radiation treatment planning.
Guanglei Zhang PhD, Visiting Scholar
Guanglei Zhang earned his Ph.D in Biomedical Engineering from Tsinghua University in 2014. After receiving his PhD, he went to work in the Department of Biomedical Engineering of Beijing Jiaotong University. Now, He now joins Prof. Xing’s lab as a visiting scholar. His current research interest lies in inverse problems and applications of molecular imaging, such as x-ray luminescence computed tomography, dynamic fluorescence molecular tomography.
Fei Han PhD, Visiting Scholar
Fei is a new visitor in Xing Lab. He completed a Bachelor’s of medical in 1994, and Master’s degree in Radiation Oncology in 2000, then a Ph.D. in Oncology in 2012 from Sun Yat-sen University, Guangzhou, China. He is a clinical doctor but he has always focused on the topic of the radiobiological effect of prolonging the fraction time on modern irradiation technique. He also majors in the normal tissue sparing during reirradiation, especially Head and Neck cancer.
Wenjian Qin, PhD Candidate, Visiting Student Researcher
Wenjian is a new Visiting Student Researcher in the Xing lab. He completed a Master’s Degree in Computer Application Technology from the Graduate University of Chinese Academy of Sciences in 2012. He joined the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences as an Assistant Professor in June 2012, and he is now a PhD candidate in Pattern Recognition and Intelligent System at University of Chinese Academy of Sciences since 2015. His research interest is Medical Image Analysis using machine learning.
Si Chen, MD, PhD, Visiting Scholar
Si, a visiting scholar in the group of Professor Lei Xing. She obtained her MD and PhD diploma on neurology from the Xiangya Hospital, Central South University, China in 2009. During 2008-2009, she did her PhD research in Flinder University of Australia, focused on retrograde and anterograde trafficking of vesicles intracellularly in neurons, under the guidance of Professor Xin-Fu Zhou. She is the principal investigator of two national research grants in China. Her current research project will mainly focus on developing novel optical image-guided surgery technique and imaging agent for glioblastoma.
Stratis Tzoumas, Visiting Student Researcher
Stratis is a new visiting student researcher in the group of Professor Lei Xing. He obtained his Diploma on Electrical and Computer Engineering from the National Technical University of Athens, Greece in 2011. Since 2011 he is doing his PhD in Biomedical Imaging in the Technical University of Munich, Germany under the guidance of Professor Vasilis Ntziachristos. His dissertation research is on the development of multispectral analysis methods for molecular and physiological optoacoustic (photoacoustic) imaging."
Sejung Yang, PhD, Visiting Scholar
Dr. Sejung Yang is a Assistant Research Professor at the Ewha Womans University. She received her BS degree in electrical engineering from the Ewha Womans University in 2001, her MS degree in Electrical Engineering from the University of Southern California in 2005, and her PhD in electronics engineering from the Ewha Womans University in 2011. Her current research interests include image
processing and biomedical imaging. She will work on medical image enhancement and CT reconstruction at Stanford.
Xiaoli Lily Sun, M.D., Visiting Research Associate
Xiaoli Lily Sun is a Attending Doctor of The First Affiliated Hospital of ZheJiang University. She has been focused on SBRT of lung, liver and pancreas tumors during her study at Stanford last year. Her current research interests include the NSCLC project and image analysis for radiotherapy planning.
Wei Zhao, PhD, Physical Science Research Associate
Wei is a new physical science research associate in the Xing Lab. He completed a Bachelor's in Physics from Lanzhou University in 2007, and a PhD in Particle Physics and Nuclear Physics in 2012 from Institute of High Energy Physics, Chinese Academy of Sciences. His research interest is computed tomography (CT), focusing on CT system development, calibration, artifacts reduction, image reconstruction, as well as energy-resolved CT. Before he came to Stanford, he has a two-year experience at University of Wisconsin-Madison as a postdoc and a two-year working experience at Huazhong University of Science and Technology.
Cesare Jenkins, Ph.D. Candidate
Cesare is working on a project to develop tools to track radiation therapy in real time. The project aims to improve patient safety while providing additional treatment delivery validation information to clinicians. Additionally, he collaborates with others in the lab on the development of x-ray florescence computed tomography (XFCT), a novel molecular imaging modality
Baris Ungun, M.D.-Ph.D. Candidate
Baris Ungun is currently an M.D.-Ph.D. candidate in Bioengineering at Stanford University, working under the guidance of Professor Xing and Professor Stephen Boyd. His current research involves convex optimization in radiation therapy treatment planning.
Henry Wang, Ph.D. Candidate
Henry Wang is currently a Ph.D. candidate in Electrical Engineering at Stanford University, working under the guidance of Professor Xing. His current research involves knowledge based treatment planning and optimization. He is developing a fully automated treatment planning platform. His past research includes applying cloud computing to monte carlo in radiotherapy. Working with new ideas and producing useful yet simple implementations are truly meaningful for him. He hopes to utilize his engineering background and one day make a groundbreaking contribution to medical physics.