Our Mission
The Intelligent Imaging Innovation and Translation (I3T) laboratory, led by Dr. Fang Liu at the Athinoula A. Martinos Center of Massachusetts General Hospital and Harvard Medical School, is a multidisciplinary research group focused on advancing medical imaging and artificial intelligence. Our goal is to create new technologies for diagnosing and treating human diseases. Our research covers the development of fundamental medical imaging methods and the investigation and implementation of cutting-edge artificial intelligence algorithms to improve clinical imaging processes and enhance patient care.
Positions Available
Highlight
Lab awarded NIAMS R56 Grant for developing new imaging biomarkers assessing knee osteoarthritis
We are thrilled to receive a 1-year R56 bridge grant from The National Institutes of Health and National Institute of Arthritis and Musculoskeletal and Skin Disease (NIAMS). This new funding will support our lab to develop a multi-parametric imaging method capable of providing rapid, accurate, and efficient non-invasive imaging biomarkers to assess knee joint degeneration in knee osteoarthritis. This [...]
Read MoreLab News
📣I3T Lab Presents Research at the 2024 ISMRM Annual Meeting
Our lab presented multiple papers at the 33rd ISMRM Annual Meeting in Singapore, which took place from May 4-9, 2024. [...]
📣Lab Presents AI and MRI Research at RSNA 2023
During the 109th Scientific Assembly and Annual Meeting of RSNA 2023, Fang organized and hosted an educational session titled “Deep [...]
I3T Lab Presents Research at Martinos Mesoscale Mapping Symposium
The Center for Mesoscale Mapping at Massachusetts General Hospital and the HST-based Neuroimaging Training Program announces “Mesoscale Brain Mapping: Bridging [...]
Lab awarded NIAMS R56 Grant for developing new imaging biomarkers assessing knee osteoarthritis
We are thrilled to receive a 1-year R56 bridge grant from The National Institutes of Health and National Institute of Arthritis and Musculoskeletal [...]
I3T Lab Presents Research at the 2023 ISMRM Annual Meeting
During the 31st ISMRM Annual Meeting in Toronto, Canada, held between June 3-8, 2023, our lab delivered multiple presentations. Dr. [...]
Abert awarded the Best Open Source Tool Award at the 2023 ISMRM Annual Meeting
Dr. Albert Jang, a member of our lab, has received the Best Open Source Tool Award from the ISMRM quantitative [...]