Fang Liu

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

Top Venues

Magnetic resonance in medicine

Journal of magnetic resonance imaging : JMRI

Radiology

NMR in biomedicine

Harvard Medical School

University of Wisconsin Madison (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Harvard Medical School Jan 01 2020

United States

Assistant Professor :: Gordon Center for Medical Imaging

Massachusetts General Hospital Jan 01 2020

United States

Assistant Investigator :: Radiology

University of Wisconsin Madison - Dec 31 2019

United States

Assistant Scientist :: Radiology

University of Wisconsin Madison

United States

Postdoctoral Research Associate :: Radiology

Education History

University of Wisconsin Madison

United States

PHD :: Medical Physics

Western University

Canada

MSC :: Medical Biophysics

Sun Yat-Sen University

China

BSC :: Biomedical Engineering

Publications

Wanyu Bian, Albert Jang, Fang Liu
Improving quantitative MRI using self-supervised deep learning with model reinforcement: Demonstration for rapid T1 mapping. Magnetic resonance in medicine 92 (1) (2024)
Wanyu Bian, Albert Jang, Fang Liu
Improving quantitative MRI using self-supervised deep learning with model reinforcement: Demonstration for rapid T1 mapping. Magnetic resonance in medicine 92 (1) (2024)
Wanyu Bian, Albert Jang, Fang Liu
Improving quantitative MRI using self-supervised deep learning with model reinforcement: Demonstration for rapid T1 mapping. Magnetic resonance in medicine (2024)
Wanyu Bian, Albert Jang, Fang Liu
Improving quantitative MRI using self-supervised deep learning with model reinforcement: Demonstration for rapid T1 mapping. Magnetic resonance in medicine (2024)
Haoyang Pei, Timothy M Shepherd, Yao Wang, Fang Liu, Daniel K Sodickson, Noam Ben-Eliezer, Li Feng
DeepEMC-T 2 mapping: Deep learning-enabled T 2 mapping based on echo modulation curve modeling. Magnetic resonance in medicine (2024)
Wanyu Bian, Albert Jang, Fang Liu
Improving quantitative MRI using self-supervised deep learning with model reinforcement: Demonstration for rapid T1 mapping. Magnetic resonance in medicine (2024)
Wanyu Bian, Albert Jang, Fang Liu
Improving quantitative MRI using self-supervised deep learning with model reinforcement: Demonstration for rapid T1 mapping. Magnetic resonance in medicine 92 (1) (2024)
Haoyang Pei, Ding Xia, Xiang Xu, Yang Yang, Yao Wang, Fang Liu, Li Feng
Rapid 3D T 1 mapping using deep learning-assisted Look-Locker inversion recovery MRI. Magnetic resonance in medicine (2023)
Albert Jang, Paul Kyu Han, Chao Ma, Georges El Fakhri, Nian Wang, Alexey A Samsonov, Fang Liu
B 1 inhomogeneity-corrected T 1 mapping and quantitative magnetization transfer imaging via simultaneously estimating Bloch-Siegert shift and magnetization transfer effects. Magnetic resonance in medicine (2023)
Haoyang Pei, Ding Xia, Xiang Xu, Yang Yang, Yao Wang, Fang Liu, Li Feng
Rapid 3D T 1 mapping using deep learning-assisted Look-Locker inversion recovery MRI. Magnetic resonance in medicine (2023)
Haoyang Pei, Ding Xia, Xiang Xu, Yang Yang, Yao Wang, Fang Liu, Li Feng
Rapid 3D T 1 mapping using deep learning-assisted Look-Locker inversion recovery MRI. Magnetic resonance in medicine (2023)
Nian Wang, Surendra Maharjan, Andy P Tsai, Peter B Lin, Yi Qi, Abigail Wallace, Megan Jewett, Fang Liu, Gary E Landreth, Adrian L Oblak
Integrating Multimodality MRI to Allen Mouse Brain Common Coordinate Framework (CCFv3). NMR in biomedicine (2022)
Li Feng, Fang Liu, Georgios Soultanidis, Chenyu Liu, Thomas Benkert, Kai Tobias Block, Zahi A Fayad, Yang Yang
Magnetization-prepared GRASP MRI for rapid 3D T1 mapping and fat/water-separated T1 mapping. Magnetic resonance in medicine 86 (1) (2021)
Fang Liu, Richard Kijowski, Georges El Fakhri, Li Feng
Magnetic resonance parameter mapping using model-guided self-supervised deep learning. Magnetic resonance in medicine 85 (6) (2021)
Xueyan Mei, Hao-Chih Lee, Kai-Yue Diao, Mingqian Huang, Bin Lin, Chenyu Liu, Zongyu Xie, Yixuan Ma, Philip M Robson, Michael S Chung, Adam Bernheim, Venkatesh Mani, Claudia Calcagno, Kunwei Li, Shaolin Li, Hong Shan, Jian Lv, Tongtong Zhao, Junli Xia, Qihua Long, Sharon Steinberger, Adam Jacobi, Timothy Deyer, Marta Luksza, Fang Liu, Brent P Little, Zahi Adel Fayad, Yang Yang
Artificial intelligence-enabled rapid diagnosis of patients with COVID-19. Nature medicine 26 (8) (2020)
Li Feng, Dan Ma, Fang Liu
Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends. NMR in biomedicine (2020)
Fang Liu
Improving Quantitative Magnetic Resonance Imaging Using Deep Learning. Seminars in musculoskeletal radiology 24 (4) (2020)
Fang Liu, Li Feng, Richard Kijowski
MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR parameter mapping. Magnetic resonance in medicine 82 (1) (2019)
Alexey A Samsonov, Fang Liu, Julia V Velikina
Resolving estimation uncertainties of chemical shift encoded fat-water imaging using magnetization transfer effect. Magnetic resonance in medicine 82 (1) (2019)
Fang Liu, Alexey Samsonov, Lihua Chen, Richard Kijowski, Li Feng
SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction. Magnetic resonance in medicine 82 (5) (2019)
Richard Kijowski, Peter Thurlow, Donna Blankenbaker, Fang Liu, Timothy McGuine, Geng Li, Michael J Tuite
Preoperative MRI Shoulder Findings Associated with Clinical Outcome 1 Year after Rotator Cuff Repair. Radiology 291 (3) (2019)
Fang Liu, Bochen Guan, Zhaoye Zhou, Alexey A Samsonov, Humberto Rosas, Kevin Lian, Ruchi Sharma, Andrew Kanarek, John Kim, Ali Guermazi, Richard Kijowski
Fully Automated Diagnosis of Anterior Cruciate Ligament Tears on Knee MR Images by Using Deep Learning. Radiology. Artificial intelligence 1 (3) (2019)
Li Feng, Qiuting Wen, Chenchan Huang, Angela Tong, Fang Liu, Hersh Chandarana
GRASP-Pro: imProving GRASP DCE-MRI through self-calibrating subspace-modeling and contrast phase automation. Magnetic resonance in medicine 83 (1) (2019)
Richard Kijowski, Fang Liu, Francesco Caliva, Valentina Pedoia
Deep Learning for Lesion Detection, Progression, and Prediction of Musculoskeletal Disease. Journal of magnetic resonance imaging : JMRI 52 (6) (2019)
Wei Zha, Sean B Fain, Mark L Schiebler, Michael D Evans, Scott K Nagle, Fang Liu
Deep convolutional neural networks with multiplane consensus labeling for lung function quantification using UTE proton MRI. Journal of magnetic resonance imaging : JMRI 50 (4) (2019)
Fang Liu
SUSAN: segment unannotated image structure using adversarial network. Magnetic resonance in medicine 81 (5) (2018)
Jie C Nguyen, Fang Liu, Donna G Blankenbaker, Kaitlin M Woo, Richard Kijowski
Juvenile Osteochondritis Dissecans: Cartilage T2 Mapping of Stable Medial Femoral Condyle Lesions. Radiology 288 (2) (2018)
Fang Liu, Hyungseok Jang, Richard Kijowski, Gengyan Zhao, Tyler Bradshaw, Alan B McMillan
A deep learning approach for 18F-FDG PET attenuation correction. EJNMMI physics 5 (1) (2018)
Zhaoye Zhou, Gengyan Zhao, Richard Kijowski, Fang Liu
Deep convolutional neural network for segmentation of knee joint anatomy. Magnetic resonance in medicine 80 (6) (2018)
Fang Liu, Zhaoye Zhou, Alexey Samsonov, Donna Blankenbaker, Will Larison, Andrew Kanarek, Kevin Lian, Shivkumar Kambhampati, Richard Kijowski
Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection. Radiology 289 (1) (2018)
Fang Liu, Zhaoye Zhou, Hyungseok Jang, Alexey Samsonov, Gengyan Zhao, Richard Kijowski
Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging. Magnetic resonance in medicine 79 (4) (2017)
Richard Kijowski, John J Wilson, Fang Liu
Bicomponent ultrashort echo time T2* analysis for assessment of patients with patellar tendinopathy. Journal of magnetic resonance imaging : JMRI 46 (5) (2017)
Wei Zha, Stanley J Kruger, Kevin M Johnson, Robert V Cadman, Laura C Bell, Fang Liu, Andrew D Hahn, Michael D Evans, Scott K Nagle, Sean B Fain
Pulmonary ventilation imaging in asthma and cystic fibrosis using oxygen-enhanced 3D radial ultrashort echo time MRI. Journal of magnetic resonance imaging : JMRI 47 (5) (2017)
Fang Liu, Hyungseok Jang, Richard Kijowski, Tyler Bradshaw, Alan B McMillan
Deep Learning MR Imaging-based Attenuation Correction for PET/MR Imaging. Radiology 286 (2) (2017)
Hyungseok Jang, Fang Liu, Tyler Bradshaw, Alan B McMillan
Rapid dual-echo ramped hybrid encoding MR-based attenuation correction (dRHE-MRAC) for PET/MR. Magnetic resonance in medicine 79 (6) (2017)
Richard Kijowski, Humberto Rosas, Alexey Samsonov, Kevin King, Rob Peters, Fang Liu
Knee imaging: Rapid three-dimensional fast spin-echo using compressed sensing. Journal of magnetic resonance imaging : JMRI 45 (6) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fang Liu