We are thrilled to receive a new 3-year Trailblazer R21 Grant entitled “Deep Learning Reconstruction for Rapid Multi-Component Relaxometry” from The National Institutes of Health and the National Institute of Biomedical Imaging and Bioengineering (NIBIB). This exciting project will develop novel Artificial Intelligence and Machine Learning methods to improve MRI speed, accuracy, and efficiency in non-invasively imaging human diseases and quantifying human tissue microstructures […]
Awards
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We receive “Outstanding Teacher Award” from ISMRM
Fang received the “Outstanding Teacher Award” for the oral presentation entitled “Machine Learning: Research Perspective” in the Advanced MSK MRI Acquisition & Post-Processing course during the ISMRM 2019 Annual Meeting & Exhibition in Montrèal, QC, Canada. This talk received the highest quality scores of any talk in this sunrise series.
Highlight
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Top 10% most downloaded papers at Magnetic Resonance in Medicine
Four papers (MANTIS, SANTIS, SUSAN, Multi-Seg) from the team are among the 2018-2019 Top 10% most downloaded papers at Magnetic Resonance in Medicine.
Highlight
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Our paper on Artificial intelligence in MR image segmentation is Top20 most downloaded articles in the journal MRM
Our paper on artificial intelligence method in MR image segmentation and modeling entitled “Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging” is one of the Top20 downloaded articles in Magnetic Resonance in Medicine between 2017 and 2018.
Awards , Highlight
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Fang won the 1st Place Award for Oral Presentation at ISMRM Machine Learning Workshop
Fang won the 1st Place Award for Oral Presentation for the work entitled “MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for Efficient Estimation of MR Parameters” in the International Society for Magnetic Resonance in Medicine (ISMRM) 2018 Machine Learning Workshop II, Washington, D.C., USA.
Awards
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Fang receives ISMRM Junior Fellow Award
Fang receives the International Society for Magnetic Resonance in Medicine ISMRM Junior Fellow Award to recognize him as a young researcher of outstanding quality and promise, with a significant potential for helping Society fulfill its scientific and educational mission.
Highlight
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Our paper is selected as Editor’s Pick in Magnetic Resonance in Medicine
The paper entitled “Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging” is selected as May 2018 Editor’s Pick in Magnetic Resonance in Medicine.
Awards
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Fang won the ISMRM Merit Award Summa Cum Laude (3% percentile)
Fang won the ISMRM Merit Award Summa Cum Laude (3% percentile) at the 26th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) in Paris, France, 2018, for the work entitled “MRI-only Treatment Planning using Pseudo CT Generation from Deep Learning Approach”.
Awards
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Fang won the ISMRM Merit Award Summa Cum Laude (3% percentile)
Fang won the ISMRM Merit Award Summa Cum Laude (3% percentile) at the 25th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) in Honolulu, Hawaii, 2017, for the work entitled “Deep Convolutional Auto-Encoder and 3D Deformable Approach for Tissue Segmentation in Magnetic Resonance Imaging”.
Awards
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Fang won the ISMRM Merit Award Magna Cum Laude (15% percentile)
Fang won the ISMRM Merit Award Magna Cum Laude (15% percentile) in the 24th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) in Singapore, 2016 for the work entitled “Analyzing Myelin Water Fraction using mcRISE.”