Faculty
Dr. Liu is the Director of the Intelligent Imaging Innovation and Translation Lab at Athinoula A. Martinos Center for Biomedical Imaging and Assistant Professor of Radiology at Harvard Medical School. His research focuses on medical image acquisition and reconstruction, image analysis and processing, and physiological modeling of magnetic resonance, molecular, and optical imaging. His interest also includes the development of artificial intelligence methods for improving imaging speed and robustness and automating clinical imaging workflow. Before joining Harvard in 2020, Dr. Liu was an Assistant Scientist at Radiology, University of Wisconsin-Madison, from 2015 to 2019, working on translational imaging projects spanning several clinical topics. In 2015, he received his PhD in Medical Physics from the University of Wisconsin-Madison. His research focused on developing new MR pulse sequences and optimizing imaging biomarkers for improved musculoskeletal and neural tissue assessment. In 2011, he received his MSc in Medical Biophysics from Western University, Canada, where his research focused on improving breast MR imaging using machine learning. In 2008, he received BSc in Biomedical Engineering from Sun Yat-sen University, China.
Dr. Tanaka is an orthopaedic sports medicine surgeon and Founding Director of the Women’s Sports Medicine Program at Massachusetts General Hospital, and an Associate Professor in the Department of Orthopaedic Surgery at Harvard Medical School. She joined the MGH Sports Medicine Center in July 2019. Prior to her arrival at Mass General, she was an Associate Professor of Orthopaedic Surgery and the Founding Director of the Women’s Sports Medicine Program at The Johns Hopkins Hospital. Dr. Tanaka completed her undergraduate degree at Stanford University, where she was a member of the varsity track and field team. She earned her medical degree at New York Medical College, and she completed her orthopaedic surgery residency at The Johns Hopkins Hospital in Baltimore. After residency, she completed a fellowship in Sports Medicine and Shoulder surgery at the Hospital for Special Surgery in New York City.
Dr. Zachary Stewart is a musculoskeletal radiologist and the director of musculoskeletal ultrasound at MGH. He also is appointed as a Clinical Instructor of Radiology at Harvard Medical School. Since completing his Musculoskeletal Imaging & Intervention fellowship at the University of Wisconsin, Dr. Stewart has worked at Massachusetts General Hospital focusing on clinical MSK imaging. Dr. Stewart’s particular clinical interests include interventional pain management, interventional musculoskeletal oncology and musculoskeletal applications of ultrasound.
Dr. Mohamed Jarraya is Assistant Professor of Radiology at Harvard Medical School. Prior to joining Mass. General Hospital, Dr. Jarraya completed two diagnostic radiology residencies. He also completed fellowship training in Musculoskeletal Imaging and Intervention at Brigham and Women’s Hospital, Harvard Medical School. Dr. Jarraya has been involved in CT and MRI reading of multiple epidemiological cohorts and clinical trials in the field of knee osteoarthritis. He co-developed a scoring system for the evaluation of intra-articular mineralization, the Boston University Calcium Knee Score (BUCKS).
Fellows
Albert Jang’s broad research interest lies in magnetic resonance imaging focusing on novel acquisition techniques, reconstruction, and signal modeling. This includes applications to quantitative MRI, magnetization transfer, and quantitative susceptibility mapping, with the ultimate goal of clinical translation. Albert obtained his PhD in Electrical and Computer Engineering from the Center for Magnetic Resonance Research at the University of Minnesota, after which he developed novel MRI systems specialized for notreatment.
Xingxin He’s research interest lies in applying AI techniques for novel MRI acquisition, reconstruction, processing, and analysis. His specific research topics include AI-based RF pulse design, rapid MRI reconstruction, and multi-modal MRI image segmentation. That is to bridge state-of-art AI and the demand for MRI research. Xingxin obtained his PhD in Control Science and Engineering from Hunan University, China, in 2022.
Liping Zhang’s research focuses on AI technologies for MRI image reconstruction, denoising, synthesis, and motion correction. Prior to joining Harvard in 2024, Liping served as a Postdoctoral Fellow at the Department of Imaging and Interventional Radiology, the Chinese University of Hong Kong. His expertise lies at the intersection of medical image analysis, processing, reconstruction, and machine learning techniques, with the primary objective of improving diagnostic outcomes and healthcare efficiency. He obtained his PhD from the Department of Imaging and Interventional Radiology at the Chinese University of Hong Kong in 2020.
Staff Members
Varun Nukala is a clinical research coordinator responsible for subject recruitment, data management, and clinical study coordination.
Xiaonan Yang
Yang Xiaonan is a data analyst focusing on enhancing image analysis techniques and expanding the practical use of machine learning models in complex segmentation tasks.
Intern Students
Rosetta (Yifan) Hu
Yifan Hu is a master student at Harvard John A. Paulson School of Engineering and Applied Sciences. She is focused on developing trustworthy, robust, and generalizable AI tools for medical image segmentation using large foundation models.
Former Members
- Vivian (Wanyu) Bian, PhD, 2022-2023 (Postdoc Fellow, now at Neuro42)
- Xiaonan Yang, 2022-2023 (Intern Student, Lehigh University)
- Wei Peng, PhD, 2021-2022 (Visiting Scholar, previously at University of Oulu, Finland, now at Stanford University)
- Dharsini Rangaswamy, 2021-2022 (Intern Student, Boston University)
- Zachary Nelson-Marois, 2021-2022 (Intern Student, Dartmouth College)
- Maria A. Theodore, 2021-2022 (Intern Student, Harvard College)
- Zachary Laporte, 2021 (Intern Student, Boston University)
- Shijie Hong, 2020-2021 (Intern Student, Children’s Hospital of Philadelphia)
- Tanvi Venkatesh, 2020-2021 (Intern Student, Children’s Hospital of Philadelphia)
- Michael Nguyen, 2020-2021 (Intern Student, Children’s Hospital of Philadelphia)
- Paul Gicquel, 2020 (Intern Student, University of Bordeaux, France)
Collaborators
Dr. Kijowski is a board certified radiologist at Hospital for Special Surgery specializing in magnetic resonance imaging as well as spine and sports imaging. His main area of research is in the use of MRI to investigate all types of MSK diseases, with a specific focus on speeding up quantitative and morphologic MRI of cartilage and other joint structures involved in osteoarthritis.
Dr. Feng is an Associate Professor of Radiology and Director of Rapid Imaging at New York University Grossman School of Medicine. Dr. Feng is interested in developing new MRI acquisition and reconstruction methods. In particular, Dr. Feng’s research has focused on developing novel rapid, free-breathing, quantitative golden-angle radial MRI methods for different clinical applications, including dynamic liver imaging, lung imaging, and cardiovascular imaging.
Dr. Samsonov is an Associate Professor in the Imaging Sciences section of the Department of Radiology at the University of Wisconsin-Madison. He completed his Diploma of Engineer-Physicist in Solid State Physics at the Moscow Engineering Physics University and then Master of Science in Computational Engineering and Science and Doctor of Philosophy in Physics at the University of Utah. His research interests include quantitative MRI, accelerated medical imaging, image reconstruction/processing, numerical methods, scientific computing, imaging of myelination, and cartilage imaging.
Rianne van der Heijden, MD, PhD
Dr. Rianne van der Heijden is a skilled radiologist who specializes in the musculoskeletal system. She is currently a visiting assistant professor at the University of Wisconsin-Madison and contributes to research projects at Erasmus MC that use MRI techniques to identify the cause of musculoskeletal pain.
Dr. Guan is a Tech Lead and Manager at OPPO US Research Center, Palo Alto, USA. Previously, he obtained his PhD in electrical engineering from the University of Wisconsin-Madison, USA, and a BSc in physics from Sun Yat-sen University, China. His primary research focus is machine learning, computer vision, and image processing. He is also interested in the applications of vision and learning in healthcare. He was the co-recipient of the best paper award at CICAI 2021. His work was covered by BBC, CNET, Digital Photography Review, PCMag, and Forbes.