Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Fang Liu, Ph.D.

Title
Institution
Department
Address
Profile Picture

Biography
University of Wisconsin-Madison, USAAssistant Scientist12/2019Radiology
University of Wisconsin-Madison, USAPh.D.10/2015Medical Physics
University of Western Ontario, CanadaM.Sc.08/2011Medical Biophysics
Sun Yat-Sen University, ChinaB.Sc.10/2008Biomedical Engineering
2019
Magnetic Resonance in Medicine Editor's Pick
2018
ISMRM Junior Fellow Award
2018
The Oral Presentation 1st place, ISMRM Machine Learning Workshop II
2018
Magnetic Resonance in Medicine Distinguished Reviewer
2018
Magnetic Resonance in Medicine Editor's Pick
2017
Journal of Magnetic Resonance Imaging Distinguished Reviewer
2017
OCSMRM Young Investigator Award
2016
ISMRM Merit Award - Magna Cum Laude
2015 - 2017
Clinical Biomechanics Award
2014 - 2019
ISMRM Merit Award - Summa Cum Laude

Overview
Dr. Liu holds a faculty position at Harvard University. He is currently working at Gordon Center for Medical Imaging, Harvard Medical School and Massachusetts General Hospital. His research focuses on technological development and methodological innovation of medical image reconstruction, quantitative imaging, and image analysis, in particular for magnetic resonance (MR) imaging, molecular imaging, and nuclear medicine. His recent interest also involves the development of cutting-edge artificial intelligence methods to improve medical imaging science and advance clinical imaging workflow. Before joining Harvard in 2020, Dr. Liu was an Assistant Scientist at Radiology, University of Wisconsin-Madison, from 2015 to 2019 working on a variety of medical imaging modalities and pioneering research spanning many clinical topics. In 2015, he received his Ph.D. from Medical Physics, University of Wisconsin-Madison, where his research focused on designing new MR pulse sequences and developing novel MR imaging biomarkers for assessing and understanding musculoskeletal and neuro diseases. In 2011, he received his M.Sc. from Medical Biophysics, Western University, Canada, where his research focused on the investigation of machine learning methods in breast MR imaging. In 2008, he received B.Sc. from Biomedical Engineering, Sun Yat-sen University, China.

Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
Newest   |   Oldest   |   Most Cited   |   Most Discussed   |   Timeline   |   Field Summary   |   Plain Text
PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Kijowski R, Liu F, Caliva F, Pedoia V. Deep learning for lesion detection, progression, and prediction of musculoskeletal disease. J Magn Reson Imaging. 2019 Nov 25. PMID: 31763739.
    Citations:    
  2. Feng L, Wen Q, Huang C, Tong A, Liu F, Chandarana H. GRASP-Pro: imProving GRASP DCE-MRI through self-calibrating subspace-modeling and contrast phase automation. Magn Reson Med. 2020 01; 83(1):94-108. PMID: 31400028.
    Citations:    
  3. Liu F, Samsonov A, Chen L, Kijowski R, Feng L. SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction. Magn Reson Med. 2019 11; 82(5):1890-1904. PMID: 31166049.
    Citations:    
  4. Kijowski R, Thurlow P, Blankenbaker D, Liu F, McGuine T, Li G, Tuite M. Preoperative MRI Shoulder Findings Associated with Clinical Outcome 1 Year after Rotator Cuff Repair. Radiology. 2019 06; 291(3):722-729. PMID: 31012813.
    Citations:    
  5. Zha W, Fain SB, Schiebler ML, Evans MD, Nagle SK, Liu F. Deep convolutional neural networks with multiplane consensus labeling for lung function quantification using UTE proton MRI. J Magn Reson Imaging. 2019 Oct; 50(4):1169-1181. PMID: 30945385.
    Citations:    
  6. Liu F, Feng L, Kijowski R. MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR parameter mapping. Magn Reson Med. 2019 07; 82(1):174-188. PMID: 30860285.
    Citations:    
  7. Samsonov A, Liu F, Velikina JV. Resolving estimation uncertainties of chemical shift encoded fat-water imaging using magnetization transfer effect. Magn Reson Med. 2019 07; 82(1):202-212. PMID: 30847974.
    Citations:    
  8. Liu F, Yadav P, Baschnagel AM, McMillan AB. MR-based treatment planning in radiation therapy using a deep learning approach. J Appl Clin Med Phys. 2019 Mar; 20(3):105-114. PMID: 30861275.
    Citations:    
  9. Liu F. SUSAN: segment unannotated image structure using adversarial network. Magn Reson Med. 2019 05; 81(5):3330-3345. PMID: 30536427.
    Citations:    
  10. Liu F, Jang H, Kijowski R, Zhao G, Bradshaw T, McMillan AB. A deep learning approach for 18F-FDG PET attenuation correction. EJNMMI Phys. 2018 Nov 12; 5(1):24. PMID: 30417316.
    Citations:    
  11. Nguyen JC, Allen H, Liu F, Woo KM, Zhou Z, Kijowski R. Maturation-Related Changes in T2 Relaxation Times of Cartilage and Meniscus of the Pediatric Knee Joint at 3 T. AJR Am J Roentgenol. 2018 12; 211(6):1369-1375. PMID: 30299996.
    Citations:    
  12. Bradshaw TJ, Zhao G, Jang H, Liu F, McMillan AB. Feasibility of Deep Learning-Based PET/MR Attenuation Correction in the Pelvis Using Only Diagnostic MR Images. Tomography. 2018 Sep; 4(3):138-147. PMID: 30320213.
    Citations:    
  13. Liu F, Zhou Z, Samsonov A, Blankenbaker D, Larison W, Kanarek A, Lian K, Kambhampati S, Kijowski R. Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection. Radiology. 2018 10; 289(1):160-169. PMID: 30063195.
    Citations:    
  14. Zhou Z, Zhao G, Kijowski R, Liu F. Deep convolutional neural network for segmentation of knee joint anatomy. Magn Reson Med. 2018 12; 80(6):2759-2770. PMID: 29774599.
    Citations:    
  15. Jang H, Liu F, Zhao G, Bradshaw T, McMillan AB. Technical Note: Deep learning based MRAC using rapid ultrashort echo time imaging. Med Phys. 2018 May 15. PMID: 29763997.
    Citations:    
  16. Nguyen JC, Liu F, Blankenbaker DG, Woo KM, Kijowski R. Juvenile Osteochondritis Dissecans: Cartilage T2 Mapping of Stable Medial Femoral Condyle Lesions. Radiology. 2018 08; 288(2):536-543. PMID: 29762089.
    Citations:    
  17. Zha W, Kruger SJ, Johnson KM, Cadman RV, Bell LC, Liu F, Hahn AD, Evans MD, Nagle SK, Fain SB. Pulmonary ventilation imaging in asthma and cystic fibrosis using oxygen-enhanced 3D radial ultrashort echo time MRI. J Magn Reson Imaging. 2018 05; 47(5):1287-1297. PMID: 29086454.
    Citations:    
  18. Jang H, Liu F, Bradshaw T, McMillan AB. Rapid dual-echo ramped hybrid encoding MR-based attenuation correction (dRHE-MRAC) for PET/MR. Magn Reson Med. 2018 06; 79(6):2912-2922. PMID: 28971513.
    Citations:    
  19. Liu F, Jang H, Kijowski R, Bradshaw T, McMillan AB. Deep Learning MR Imaging-based Attenuation Correction for PET/MR Imaging. Radiology. 2018 02; 286(2):676-684. PMID: 28925823.
    Citations:    
  20. Liu F, Zhou Z, Jang H, Samsonov A, Zhao G, Kijowski R. Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging. Magn Reson Med. 2018 04; 79(4):2379-2391. PMID: 28733975.
    Citations:    
  21. Kijowski R, Rosas H, Williams A, Liu F. MRI characteristics of torn and untorn post-operative menisci. Skeletal Radiol. 2017 Oct; 46(10):1353-1360. PMID: 28653078.
    Citations:    
  22. Liu F, Kijowski R. Assessment of different fitting methods for in-vivo bi-component T2* analysis of human patellar tendon in magnetic resonance imaging. Muscles Ligaments Tendons J. 2017 Jan-Mar; 7(1):163-172. PMID: 28717625.
    Citations:    
  23. Kijowski R, Wilson JJ, Liu F. Bicomponent ultrashort echo time T2* analysis for assessment of patients with patellar tendinopathy. J Magn Reson Imaging. 2017 11; 46(5):1441-1447. PMID: 28263448.
    Citations:    
  24. Liu F, Velikina JV, Block WF, Kijowski R, Samsonov AA. Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model. IEEE Trans Med Imaging. 2017 02; 36(2):527-537. PMID: 28113746.
    Citations:    
  25. Kijowski R, Rosas H, Samsonov A, King K, Peters R, Liu F. Knee imaging: Rapid three-dimensional fast spin-echo using compressed sensing. J Magn Reson Imaging. 2017 06; 45(6):1712-1722. PMID: 27726244.
    Citations:    
  26. Buchanan KA, Maza M, Pérez-Vázquez CE, Yen TY, Kijowski R, Liu F, Radwin RG. Proximal forearm extensor muscle strain is reduced when driving nails using a shock-controlled hammer. Clin Biomech (Bristol, Avon). 2016 10; 38:22-8. PMID: 27542101.
    Citations:    
  27. Kaiser J, Vignos MF, Liu F, Kijowski R, Thelen DG. American Society of Biomechanics Clinical Biomechanics Award 2015: MRI assessments of cartilage mechanics, morphology and composition following reconstruction of the anterior cruciate ligament. Clin Biomech (Bristol, Avon). 2016 05; 34:38-44. PMID: 27061359.
    Citations:    
  28. Liu F, Chaudhary R, Block WF, Samsonov A, Kijowski R. Multicomponent T2 analysis of articular cartilage with synovial fluid partial volume correction. J Magn Reson Imaging. 2016 May; 43(5):1140-7. PMID: 26435385.
    Citations:    
  29. Liu F, Choi KW, Samsonov A, Spencer RG, Wilson JJ, Block WF, Kijowski R. Articular Cartilage of the Human Knee Joint: In Vivo Multicomponent T2 Analysis at 3.0 T. Radiology. 2015 Nov; 277(2):477-88. PMID: 26024307.
    Citations:    
  30. Liu F, Block WF, Kijowski R, Samsonov A. Rapid multicomponent relaxometry in steady state with correction of magnetization transfer effects. Magn Reson Med. 2016 Apr; 75(4):1423-33. PMID: 25959974.
    Citations:    
  31. Liu F, Samsonov A, Wilson JJ, Blankenbaker DG, Block WF, Kijowski R. Rapid in vivo multicomponent T2 mapping of human knee menisci. J Magn Reson Imaging. 2015 Nov; 42(5):1321-8. PMID: 25847733.
    Citations:    
  32. Liu F, Chaudhary R, Hurley SA, Munoz Del Rio A, Alexander AL, Samsonov A, Block WF, Kijowski R. Rapid multicomponent T2 analysis of the articular cartilage of the human knee joint at 3.0T. J Magn Reson Imaging. 2014 May; 39(5):1191-7. PMID: 24115518.
    Citations:    
  33. Liu F, Kornecki A, Shmuilovich O, Gelman N. Optimization of time-to-peak analysis for differentiating malignant and benign breast lesions with dynamic contrast-enhanced MRI. Acad Radiol. 2011 Jun; 18(6):694-704. PMID: 21420329.
    Citations:    
Local representatives can answer questions about the Profiles website or help with editing a profile or issues with profile data. For assistance with this profile: HMS/HSDM faculty should contact feedbackcatalyst.harvard.edu. For faculty or fellow appointment updates and changes, please ask your appointing department to contact HMS. For fellow personal and demographic information, contact HMS Human Resources at human_resourceshms.harvard.edu. For faculty personal and demographic information, contact HMS Office for Faculty Affairs at facappthms.harvard.edu.
Liu's Networks
Click the
Explore
buttons for more information and interactive visualizations!
Concepts (106)
Explore
_
Similar People (60)
Explore
_
Same Department 
Explore
_
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.