Our research is made possible by these wonderful folks!
Adam Wang, PhD
Dr. Wang is an Assistant Professor of Radiology and (by courtesy) of Electrical Engineering at Stanford University. He completed his PhD in Electrical Engineering at Stanford on maximizing the information content of dual energy CT. He then completed a postdoctoral fellowship at Johns Hopkins University in the I-STAR Lab, developing reconstruction and registration methods for image-guided surgery. Dr. Wang then spent several years in industry as a Senior Scientist in the Applied Research division at Varian Medical Systems, working on a number of topics related to image-guided radiotherapy. Since returning to Stanford, Dr. Wang is leading a comprehensive research program in advanced x-ray and CT imaging systems and methods, applied to diagnostic imaging and image-guided interventions and therapies.
Dr. Wang enjoys spending time with his wife and daughter. He also enjoys running, biking, hiking, and traveling.
Abdullah-Al-Zubaer Imran, PhD
Dr. Imran is a postdoctoral scholar in the Wang group and is also co-mentored by Prof. Bhavik Patel. He obtained his BS in Computer Science & Engineering from Rajshahi University of Engineering & Technology (RUET), his MS in Computer Science from Delaware State University (DSU), and his PhD in Computer Science from the University of California, Los Angeles (UCLA). Dr. Imran’s research focuses on effective deep learning and computer vision techniques applied to medical imaging, including generation, diagnostic classification, detection, and segmentation. During his PhD, he developed novel deep learning models for single/multi-task learning from limited labeled medical image data. His long-term research goal includes advanced, affordable, and accessible AI-powered medical imaging tools. At Stanford, Dr. Imran focuses on developing novel deep learning-based fully automated solutions for optimal imaging.
In his spare time, Dr. Imran enjoys running, watching sports and movies, and driving. He also likes exploring places with family and friends. [Personal Website]
Sen Wang, PhD
Dr. Wang is a postdoctoral fellow in the Wang group and is also co-mentored by Prof. Norbert Pelc. He completed his BS and PhD in the Department of Engineering Physics at Tsinghua University. Sen's research interests focus on technologies and methods for image processing, reconstruction, and recognition, especially in the medical field. His PhD work investigated reconstruction algorithms and applications of x-ray spectral imaging, including photon counting detector modeling and correction, as well as quantitative imaging and computer vision with deep learning on x-ray images and other medical images. At Stanford, Dr. Wang works on advanced CT detector designs and imaging algorithms.
Dr. Wang enjoys running, swimming, and reading in his spare time.
Ayaan is a senior at Saratoga High School, near Stanford. As an intern for the Wang Group, his research focuses on developing novel AI and Deep Learning models to address medical imaging tasks, such as classification, segmentation, and image denoising. With a background in computer vision, he primarily uses semi-supervised learning, self-supervised learning, multi-task learning, and other techniques to build models that are efficient even with limited-labeled data while prioritizing generalizability to multiple domains. In the near future, Ayaan hopes to continue researching new methods for important medical imaging problems related to CT using AI and computer vision. Ayaan also enjoys watching sports, playing video games, and enjoying time with friends.
Yirong is a 3rd year EE PhD student. She completed her BS in Engineering Physics at Tsinghua University. Her research models the behavior of photon counting detectors and the expected improvements in CT imaging tasks such as diagnosing stroke.
Robert Bennett, M.Eng.
Robert is a research engineer in medical imaging, mechanical and electrical device and instrumentation design as well as system and computer integration. He is also the Lab Manager of the Wang laboratories, supporting the group and guest researchers with their x-ray imaging needs with both the Zeego and table-top cone-beam imaging systems.
He holds a B.Sc. in Physics and CS from the University of Toronto, and an M.Eng. in Mechanical Engineering from the University of Victoria. Robert brings experience from industry, research and academia in medical imaging/physics (x-ray/CT), MEMS display technology, electronics, rapid prototyping, and mechatronics. Robert enjoys the diverse applications and collaborative efforts in the group.
Robert has a weakness for all things RPN: Electronic calculators - old and new, (Reverse Polish) LISP, PostScript, and real-world stacks: pancakes!
Waldo Hinshaw, PhD
Dr. Hinshaw is a senior research scientist in the Department of Radiology at Stanford University. His PhD work involved NMR relaxation measurements in gases as a function of pressure. While working as a postdoc at the University of Nottingham, he produced some of the first NMR images. He worked in the field of MR imaging, first in academia and then in industry, with the objective of developing systems with high enough image quality to be clinically useful. When major companies began building clinical systems, he shifted his focus to a range of other clinical diagnostic and imaging technologies. In 2008, he joined Stanford initially working with Professor Fahrig exploring advanced x-ray imaging techniques.
Dr. Hinshaw spends what little spare time he has on one of his road bikes.
Linxi Shi, PhD
Dr. Shi is an adjunct scientist in the Wang lab. She earned her MS in Biomedical Engineering at Worcester Polytechnic Institute, her PhD in Medical Physics from Georgia Institute of Technology, and a postdoctoral fellowship with the Stanford Cancer Imaging Training program and in the Wang lab. Dr. Shi’s research interests focus on development of novel medical imaging techniques, including algorithm design for tomographic reconstruction, artifact correction, and image processing for various imaging modalities. During her PhD, she developed novel artifact corrections and reconstruction algorithms for cone beam computed tomography, with a focus on applications of breast cancer diagnosis and image-guided radiation therapy. At Stanford, Dr. Shi works on developing advanced clinical translational x-ray and CT imaging systems.
In her spare time, Dr. Shi enjoys running, playing basketball, and swimming. She also likes traveling and exploring interesting things with family and friends.
As an Administrative Associate, Manuela is dedicated to keeping scientists organized, prioritized, and less stressed. She practices a streamlined and intuitive approach to assistance. She is open-arms to opportunities that will broaden her horizon. Manuela is a team player, willing to lead or follow, eager to learn, and is self-motivated. She is committed to excellence in service. Manuela's philosophy centers around what role she can play in helping others find solutions. Enthusiastic and personable, her passion is to contribute, support, and make a difference.
Jay-Miguel Fonticella, Stanford SURF Intern (Tufts), Summer 2021
Frances Imarhia, Stanford SURF Intern (Brown), Summer 2021
Mica Jadick, RSL REU Intern (Boston University), Summer 2021
Baylie Jensen, AAPM DREAM Fellow (UC Riverside), Summer 2021
Valentin Bacher, Visiting BS student (FAU Erlangen), Summer 2020
Abum Okemgbo, RSL REU Intern (UPenn), Summer 2020
Elias Eulig, Visiting MS student (DKFZ), Summer 2019
Max Rohleder, Visiting BS student (FAU Erlangen), Summer 2019
Joseph Tran, RSL REU Intern (Stanford), Summer 2019