Li Feng Profile
Li Feng

@LiFeng_PhD

Followers
327
Following
474
Media
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Statuses
33

Associate Professor & Director of Rapid Imaging @cai2r @NYUImaging

New York, NY
Joined July 2019
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@DrFangLiu
Fang Liu
4 years
I am notified about receiving another 5-year R01 from @NIH. I couldn't be happier knowing the wonderful news at this moment. Thank you @NIH_NIAMS for supporting my work @harvardmed @MGHImaging and @MGHMartinos, focusing on developing ultra-res multi-d quantitative #MRI via #AI.
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@LiFeng_PhD
Li Feng
4 years
Dr. Jenny Watchmaker @jennwatch from @BMEIIsinai presented our collaborative work with @Hyperfine today at the @ISMRM MSK Study Group Meeting and received the Best Abstract Award.
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@LiFeng_PhD
Li Feng
4 years
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@LiFeng_PhD
Li Feng
4 years
Happy to share my new review paper (Open Access) on Golden-Angle Radial MRI Sampling. The paper presents an overview of several commonly used golden-angle radial sampling trajectories, including their advantages, challenges and po… https://t.co/LLGviHAOFa
lnkd.in
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@LiFeng_PhD
Li Feng
4 years
I have frequently been asked what is the so-called golden angle in golden-angle radial MRI and how we get it. For those who are interested in these questions, I made two figures to illustrate how we derive the angles and resulting radial trajectories. @BMEIIsinai @cai2r
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@BMEIIsinai
BioMedical Engineering and Imaging Institute
5 years
The #BMEII summer newsletter is here! Read about our star faculty and staff, exciting new grants, and special announcements. Let us know what you think in the comments below. https://t.co/R3tOCSPWdV
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@DrFangLiu
Fang Liu
5 years
Welcome! A new publication of AI-for-MRI series, "Magnetic resonance parameter mapping using model-guided self-supervised deep learning". #MRI #AI #DeepLearning #imaging https://t.co/uGp1P1iReV
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@LiFeng_PhD
Li Feng
5 years
Together with @leoliuf and @MRI_Dan , we presented an overview of deep learning for rapid quantitative MR relaxometry and showed connections between deep learning-based quantitative image reconstruction and “conventional” reconstruction approaches.
@mripapers
MRI Papers
5 years
NMRB: Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends.
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@DrFangLiu
Fang Liu
6 years
We are looking for postdoc fellows to work together on exciting MR and PET/MR projects, focusing on quantitative MR and MR pulse sequence development. If interested, please contact me at fliu12@mgh.harvard.edu #ArtificialIntelligence #MachineLearning #imaging
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@BMEIIsinai
BioMedical Engineering and Imaging Institute
6 years
Happy and safe holidays from all of us ⁦@IcahnMountSinai#BMEIIsinai!
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@LiFeng_PhD
Li Feng
6 years
Starting my first day working at the Icahn School of Medicine at Mount Sinai. Feeling excited. Thank you @zahifayad for having me as part of the new Institute @BMEIIsinai .
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@BMEIIsinai
BioMedical Engineering and Imaging Institute
6 years
BIG NEWS! We are proud to announce that the Translational & Molecular Imaging Institute (TMII) will now be the BioMedical Engineering and Imaging Institute (BMEII) @IcahnMountSinai #imaging #nanomedicine #AI #devices #computervision Read all about it here https://t.co/gfmZFVv0PS
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@LiFeng_PhD
Li Feng
7 years
Check out our latest work on rapid and continuous MRI. GRASP-Pro is an imProved version of the GRASP (Golden-angle RAdial Sparse Parallel) MRI technique for high resolution dynamic imaging. https://t.co/E8KvUlWfRv
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@CMRPapers
CMR Papers
7 years
Extending Cardiac Functional Assessment with Respiratory-Resolved 3D Cine MRI.
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