Members of the Intelligent Imaging Innovation & Translation Lab participated in the Martinos Center Open House on December 9, 2025, joining more than 50 research groups in showcasing the breadth of scientific innovation across the Martinos Center for Biomedical Imaging. The Open House brought together researchers, trainees, clinicians, and community members for an interactive afternoon […]
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š£Our Lab at ISMRM 2025: Advancing the Future of MRI
We are proud to have showcased a diverse and forward-looking portfolio of research at the 2025 ISMRM Annual Meeting, held this year in Honolulu, Hawaii. Our team presented innovative work spanning MRI sequence development, quantitative tissue characterization, and AI-powered imaging analysis, highlighting our continued commitment to pushing the boundaries of medical imaging science. Below is […]
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Dr. Jang Presents Research at the 2025 ORS Annual Meeting
Albert Jang, a member of our lab, presented two papers at the Orthopaedic Research Society (ORS) 2025 Annual Meeting, which took place in Phoenix, Arizona, from February 7 to 11, 2025. Dr. Jang’s presentations were titled: “An Artificial Intelligence Approach to Automatically Measure Ultrasound Dynamics of Patellar Instability” and “Advanced In-vivo Imaging of the Cartilage Extracellular Matrix […]
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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. Dr. Albert Jang presented two papers: “BTS POSE: Rapid High-Resolution 3D Quantitative MT Imaging using Novel Position Encoding and Parallel Imaging” as an oral presentation, and “POSE: Position Encoding for accelerated MRI” as an e-poster […]
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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 Learning in MRI“. The session featured two speakers who spoke about recent research and clinical updates on AI in MRI. Dr. Susie Huang from MGH/HST Martinos Center discussed the use of AI in rapid MRI, […]
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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 āMesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging,ā a new symposium bringing together researchers using a range of imaging techniques to study brain function at the intersection of the micro- and macro- scales. I3T lab is pleased to […]
Funding , Highlight
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Lab awarded NIAMS R56 Grant for developing new imaging biomarkers assessing knee osteoarthritis
We are thrilled to receive a 1-year R56 bridge grant fromĀ The National Institutes of HealthĀ andĀ National Institute of Arthritis and Musculoskeletal and Skin Disease (NIAMS). This new funding will support our labĀ 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 […]
Awards , Presentation
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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. Albert Jang presented two papers, namely “Novel 3D Quantitative Magnetization Transfer Imaging of The Whole Knee Cartilage” as an oral presentation and “BTX: Simultaneous 3D Quantitative Magnetization Transfer Imaging And Susceptibility Mapping” as an e-poster […]
Awards , Presentation
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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 MR Study Group. This recognition was given in honor of his participation in the ISMRM 2023 open-source challenge. Our software, MRiLab, was selected as the winning tool by the ISMRM qMR committee due to its […]
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Fang gave an educational talk at the 2022 RSNA
In the 108th Scientific Assembly and Annual Meeting of RSNA 2022, Fang was invited to organize and host an educational session entitled “Deep Learning in MRI.” He also delivered a presentation entitled “Deep Learning Reconstruction for Improving (Accelerating) MRI and MRI-Based Tissue Quantification,” detailing fundamental MRI physics and image formulation and explaining how modern AI […]