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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đź“ŁLab 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 “Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging,” 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 […]
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 […]