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ORCIDFeng Liu 0005
Person information
- affiliation: The University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, QLD, Australia
Other persons with the same name
- Feng Liu — disambiguation page
- Feng Liu 0001
![[0000-0002-7828-2090]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7828-2090")
— Chinese Academy of Sciences, State Key Laboratory of Information Security, Institute of Software, Beijing, China - Feng Liu 0002 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
- Feng Liu 0003 (aka: Feng (Alex) Liu) — University of Melbourne, School of Mathematics and Statistics, Australia (and 2 more)
- Feng Liu 0004 — Shanghai Maritime University, College of Information Engineering, China
- Feng Liu 0006 — Nanjing University, Department of Physics, China
- Feng Liu 0007 — Chinese Academy of Sciences, State Key Laboratory of Membrane Biology, Institute of Zoology, Beijing, China
- Feng Liu 0008 — Hefei University of Technology, School of Economics / Research Center of Industry Information, China
- Feng Liu 0009 — Beihang University, Department of School of Astronautics, Beijing, China (and 1 more)
- Feng Liu 0010 — Beihang University, School of Electronics and Information Engineering, Beijing, China (and 1 more)
- Feng Liu 0011 — Stevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ, USA (and 4 more)
- Feng Liu 0012 — Nankai University, College of Electronic Information and Optical Engineering, Tianjin, China (and 1 more)
- Feng Liu 0013 — Shenzhen University, School of Computer Science and Software Engineering, China (and 2 more)
- Feng Liu 0014 — Tsinghua University, Department of Electrical Engineering, State Key Laboratory of Power Systems, Beijing, China
- Feng Liu 0015 — Portland State University, Computer Science Department, OR, USA (and 2 more)
- Feng Liu 0016 — Avaya Labs Research, Basking Ridge, NJ, USA
- Feng Liu 0017 — Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
- Feng Liu 0018 — Nanjing University of Finance and Economics, School of Information Engineering, China
- Feng Liu 0019 — Southwest University, Faculty of Materials and Energy, Institute for Clean Energy and Advanced Materials, Chongqing, China
- Feng Liu 0020 — Dongbei University of Finance and Economics, School of Management Science and Engineering, Dalian, China (and 1 more)
- Feng Liu 0021 — Ludwig Maximilians University Munich, Germany
- Feng Liu 0022 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Feng Liu 0023 — Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China
- Feng Liu 0024 — Anhui University, School of Computer Science and Technology, Hefei, China
- Feng Liu 0025 — Xidian University, Key Laboratory of Antennas and Microwave Technologies, Xi'an, China
- Feng Liu 0026 — Harbin Engineering University, College of Shipbuilding Engineering, Harbin, China
- Feng Liu 0027 — Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, China
- Feng Liu 0028 — Nanjing University of Posts and Telecommunications, Jiangsu Provincial Key Lab of Image Processing and Image Communication, Nanjing, China
- Feng Liu 0029 — National University of Defense Technology, School of Computer Science, National Lab of Parallel Distributed Processing, Changsha, China
- Feng Liu 0030 — Chinese Academy of Sciences, Research Center on Fictitious Economy and Data Science, Beijing, China (and 2 more)
- Feng Liu 0031 — Vrije Universiteit Brussel, Computational Modeling Lab, Brussels, Belgium
- Feng Liu 0032 — National University of Defense Technology, College of Electronic Engineering, Hefei, China
- Feng Liu 0033 — Columbia University Medical Center, Department of Psychiatry, New York, NY, USA (and 1 more)
- Feng Liu 0034 — Harbin Institute of Technology, Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China
- Feng Liu 0035 — Tianjin Medical University, Department of Radiology, Tianjin Key Laboratory of Functional Imaging, Tianjin, China (and 1 more)
- Feng Liu 0036 — Deepwise AI Lab, Beijing, China (and 2 more)
- Feng Liu 0037 — Michigan State University, Department of Computer Science and Engineering, Computer Vision Lab, East Lansing, MI, USA (and 1 more)
- Feng Liu 0038 — Nanjing Tech University, College of Electrical Engineering and Control Science, China (and 2 more)
- Feng Liu 0039 — East China Normal University, China
- Feng Liu 0040 — Huawei Munich Research Center, Germany
- Feng Liu 0041 — Harbin Institute of Technology, School of Computer Science and Technology, China
- Feng Liu 0042 — China University of Geosciences, School of Automation, Wuhan, China (and 1 more)
- Feng Liu 0043 — Nanyang Technological University, Center of Computational Intelligence, Singapore
- Feng Liu 0044 — Shanxi University, School of Computer and Information Technology, Taiyuan, China
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2020 – today
- 2025
[j64]Chi Zhang, Shaoming Wei, Ge Dong, Yajun Zeng, Guohun Zhu, Xujuan Zhou, Feng Liu:
Respiratory rate estimation from photoplethysmogram baseline wandering by harmonic analysis and sequential fusion. Biomed. Signal Process. Control. 100: 107006 (2025)- 2024
- [j63]Wenlong Xu, Haixin Yuan, Xiaomin Lou, Yuanyuan Chen, Feng Liu:
DMRNet Based Tuberculosis Screening With Cough Sound. IEEE Access 12: 3960-3968 (2024) - [j62]Ziqi Yang, Mingfeng Jiang, Dongshen Ruan, Yang Li, Tao Tan, Sumei Huang, Feng Liu:
LUCMT: Learnable under-sampling and reconstructed network with cross multi-head attention transformer for accelerating MR image reconstruction. Comput. Methods Programs Biomed. 255: 108359 (2024) - [j61]Suzhen Lin, Xiaoyu Fan, Fengfei Ma, Feng Liu, Lifang Wang, Yanbo Wang, Hualu Qiu:
Perceptual contrast and residual self-attention generative adversarial network-based for highly under-sampled MRI reconstruction. Digit. Signal Process. 144: 104277 (2024) - [j60]Yang Gao, Zhuang Xiong, Shanshan Shan, Yin Liu, Pengfei Rong, Min Li, Alan H. Wilman, G. Bruce Pike, Feng Liu, Hongfu Sun:
Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks. Medical Image Anal. 94: 103160 (2024) - [j59]Zhuang Xiong, Yang Gao, Yin Liu, Amir Fazlollahi, Peter J. Nestor, Feng Liu, Hongfu Sun:
Quantitative susceptibility mapping through model-based deep image prior (MoDIP). NeuroImage 291: 120583 (2024) - [j58]Minghe Shen, Hongping Gan, Chunyan Ma, Chao Ning, Hongqi Li, Feng Liu:
MTC-CSNet: Marrying Transformer and Convolution for Image Compressed Sensing. IEEE Trans. Cybern. 54(9): 4949-4961 (2024) - [j57]Yinhao Ren, Kecheng Yuan, Guofang Xu, Chunyou Ye, Feng Liu, Bensheng Qiu, Xiang Nan, Jijun Han:
Fat-Water Signal-Based Electrical Properties Tomography Using the Dixon Technique. IEEE Trans. Instrum. Meas. 73: 1-8 (2024) - [j56]Shanshan Shan, Yang Gao, David Waddington, Hongli Chen, Brendan Whelan, Paul Liu, Yaohui Wang, Chunyi Liu, Hongping Gan, Mingyuan Gao, Feng Liu:
Image Reconstruction With B₀ Inhomogeneity Using a Deep Unrolled Network on an Open-Bore MRI-Linac. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j55]Chi Zhang, Shaoming Wei, Ge Dong, Yajun Zeng, Guohun Zhu, Xujuan Zhou, Feng Liu:
Time-Domain Sparsity-Based Bearing Fault Diagnosis Methods Using Pulse Signal-to-Noise Ratio. IEEE Trans. Instrum. Meas. 73: 1-4 (2024) - [j54]Hongping Gan, Zhen Guo, Feng Liu:
NesTD-Net: Deep NESTA-Inspired Unfolding Network With Dual-Path Deblocking Structure for Image Compressive Sensing. IEEE Trans. Image Process. 33: 1923-1937 (2024) - [c29]Wei Jiang, Zhuang Xiong, Feng Liu, Nan Ye, Hongfu Sun:
Fast Controllable Diffusion Models for Undersampled MRI Reconstruction. ISBI 2024: 1-5 - [c28]Marlon Bran Lorenzana, Feng Liu, Shekhar S. Chandra:
Single Image Compressed Sensing MRI Via a Self-Supervised Deep Denoising Approach. ISBI 2024: 1-5 - [i12]Zhuang Xiong, Wei Jiang, Yang Gao, Feng Liu, Hongfu Sun:
QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping. CoRR abs/2403.14070 (2024) - [i11]Min Li, Chen Chen, Zhuang Xiong, Ying Liu, Pengfei Rong, Shanshan Shan, Feng Liu, Hongfu Sun, Yang Gao:
IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules. CoRR abs/2406.12300 (2024) - 2023
- [j53]Chenghu Geng, Mingfeng Jiang, Xian Fang, Yang Li, Guangri Jin, Aixi Chen, Feng Liu:
HFIST-Net: High-throughput fast iterative shrinkage thresholding network for accelerating MR image reconstruction. Comput. Methods Programs Biomed. 232: 107440 (2023) - [j52]Zhuang Xiong, Yang Gao, Feng Liu, Hongfu Sun:
Affine transformation edited and refined deep neural network for quantitative susceptibility mapping. NeuroImage 267: 119842 (2023) - [j51]Xiaocheng Yang, Chaodong Lu, Jingye Yan, Lin Wu, Feng Liu, Mingfeng Jiang:
Iterative Regularization Using an Acceleration Technique for Synthetic Aperture Interferometric Radiometer. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4649-4657 (2023) - [j50]Yi Hua, Hongping Gan, Fangyi Wan, Xinlin Qing, Feng Liu:
Distributed Estimation With Adaptive Cluster Learning Over Asynchronous Data Fusion. IEEE Trans. Aerosp. Electron. Syst. 59(5): 5262-5274 (2023) - [j49]Hongping Gan, Yang Gao, Chunyi Liu, Haiwei Chen, Tao Zhang, Feng Liu:
AutoBCS: Block-Based Image Compressive Sensing With Data-Driven Acquisition and Noniterative Reconstruction. IEEE Trans. Cybern. 53(4): 2558-2571 (2023) - [c27]Xiaofan Bao, Wenlong Xu, Chen Pan, Wenlong Liu, Xiaomin Lou, Yuanyuan Chen, Xiaoqiang Zhao, Chenlu Zhang, Feng Liu:
Tuberculosis detection based on cough sounds: a multi-model voting mechanism. CISP-BMEI 2023: 1-6 - [c26]Wenjia Song, Fangfang Tang, Henry Marshall, Kwun M. Fong, Feng Liu:
An Improved Anchor-Free Nodule Detection System Using Feature Pyramid Network. EMBC 2023: 1-4 - [c25]Hua Zhang, Chengyu Liu, Fangfang Tang, Mingyan Li, Ling Xia, Stuart Crozier, Wenlong Xu, Feng Liu:
AF automatic classification based on different time-delay values of the recurrence plot. EMBC 2023: 1-4 - [c24]Haixin Yuan, Xiaomin Lou, Yuanyuan Chen, Zijun Meng, Junrong Bai, Feng Liu, Wenlong Xu:
Tuberculosis Screening with Cough Sounds Using the Deep Learning Models. ICBASE 2023: 444-448 - [i10]Marlon E. Bran Lorenzana, Shekhar S. Chandra, Feng Liu:
PhaseNet: Phase-Encode Denoising Network for Compressed Sensing MRI. CoRR abs/2302.08861 (2023) - [i9]Zhuang Xiong, Yang Gao, Yin Liu, Amir Fazlollahi, Peter J. Nestor, Feng Liu, Hongfu Sun:
Quantitative Susceptibility Mapping through Model-based Deep Image Prior (MoDIP). CoRR abs/2308.09467 (2023) - [i8]Wei Jiang, Zhuang Xiong, Feng Liu, Nan Ye, Hongfu Sun:
Fast Controllable Diffusion Models for Undersampled MRI Reconstruction. CoRR abs/2311.12078 (2023) - [i7]Marlon Bran Lorenzana, Feng Liu, Shekhar S. Chandra:
Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach. CoRR abs/2311.13144 (2023) - 2022
- [j48]Yang Gao, Zhuang Xiong, Amir Fazlollahi, Peter J. Nestor, Viktor Vegh, Fatima A. Nasrallah, Craig D. Winter, G. Bruce Pike, Stuart Crozier, Feng Liu, Hongfu Sun:
Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. NeuroImage 259: 119410 (2022) - [j47]Aurelien Destruel, Jin Jin, Ewald Weber, Mingyan Li, Craig Engstrom, Feng Liu, Stuart Crozier:
Integrated Multi-Modal Antenna With Coupled Radiating Structures (I-MARS) for 7T pTx Body MRI. IEEE Trans. Medical Imaging 41(1): 39-51 (2022) - [c23]Xinwen Liu, Jing Wang, Cheng Peng, Shekhar S. Chandra, Feng Liu, S. Kevin Zhou:
Undersampled MRI Reconstruction with Side Information-Guided Normalisation. MICCAI (6) 2022: 323-333 - [i6]Xinwen Liu, Jing Wang, Cheng Peng, Shekhar S. Chandra, Feng Liu, S. Kevin Zhou:
Undersampled MRI Reconstruction with Side Information-Guided Normalisation. CoRR abs/2203.03196 (2022) - [i5]Marlon Bran Lorenzana, Craig Engstrom, Feng Liu, Shekhar S. Chandra:
Transformer Compressed Sensing via Global Image Tokens. CoRR abs/2203.12861 (2022) - [i4]Xuanyu Zhu, Yang Gao, Feng Liu, Stuart Crozier, Hongfu Sun:
BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources. CoRR abs/2204.02760 (2022) - [i3]Zhuang Xiong, Yang Gao, Feng Liu, Hongfu Sun:
Affine Transformation Edited and Refined Deep Neural Network for Quantitative Susceptibility Mapping. CoRR abs/2211.13942 (2022) - 2021
- [j46]Guohun Zhu, Fangrong Zong, Hua Zhang, Bizhong Wei, Feng Liu:
Cognitive Load During Multitasking Can Be Accurately Assessed Based on Single Channel Electroencephalography Using Graph Methods. IEEE Access 9: 33102-33109 (2021) - [j45]Wei He, Xinwen Liu, Linman Zhao, Ran Li, Feng Liu:
Compressed Sensing-Based Simultaneous Recovery of Magnitude and Phase MR Images via Dual Trigonometric Sparsity. IEEE Access 9: 38001-38009 (2021) - [j44]Yang Gao, Martijn Cloos, Feng Liu, Stuart Crozier, G. Bruce Pike, Hongfu Sun:
Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction. NeuroImage 240: 118404 (2021) - [j43]Chunyi Liu, Lei Guo, Mingyan Li, Haiwei Chen, Jin Jin, Wufan Chen, Feng Liu, Stuart Crozier:
Divergence-Based Magnetic Resonance Electrical Properties Tomography. IEEE Trans. Biomed. Eng. 68(1): 192-203 (2021) - [j42]Haiwei Chen, Lei Guo, Mingyan Li, Aurelien Destruel, Chunyi Liu, Ewald Weber, Feng Liu, Stuart Crozier:
Metamaterial-Inspired Radiofrequency (RF) Shield With Reduced Specific Absorption Rate (SAR) and Improved Transmit Efficiency for UHF MRI. IEEE Trans. Biomed. Eng. 68(4): 1178-1189 (2021) - [c22]Ke Shi, Mingyan Li, Ewald Weber, Stuart Crozier, Feng Liu:
Image reconstruction for the rotating RF coil using k-t bin robust principal component analysis (RPCA) method. EMBC 2021: 3313-3316 - [c21]Xinwen Liu, Jing Wang, Feng Liu, S. Kevin Zhou:
Universal Undersampled MRI Reconstruction. MICCAI (6) 2021: 211-221 - [i2]Xinwen Liu, Jing Wang, Feng Liu, S. Kevin Zhou:
Universal Undersampled MRI Reconstruction. CoRR abs/2103.05214 (2021) - [i1]Xinwen Liu, Jing Wang, Fangfang Tang, Shekhar S. Chandra, Feng Liu, Stuart Crozier:
Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI. CoRR abs/2103.16744 (2021) - 2020
- [j41]Suzhen Lin, Ze Han, Dawei Li, Jianchao Zeng, Xiaoli Yang, Xinwen Liu, Feng Liu:
Integrating model- and data-driven methods for synchronous adaptive multi-band image fusion. Inf. Fusion 54: 145-160 (2020) - [j40]Yaohui Wang, Qiuliang Wang, Hongyi Qu, Yang Liu, Feng Liu:
Highly Shielded Gradient Coil Design for a Superconducting Planar MRI System. IEEE Trans. Biomed. Eng. 67(8): 2328-2336 (2020) - [j39]Lei Guo, Mingyan Li, Phong Nguyen, Feng Liu, Stuart Crozier:
Integral MR-EPT With the Calculation of Coil Current Distributions. IEEE Trans. Medical Imaging 39(1): 175-187 (2020)
2010 – 2019
- 2019
- [j38]Zhimin Zhang, Xinwen Liu, Shoushui Wei, Hongping Gan, Feifei Liu, Yuwen Li, Chengyu Liu, Feng Liu:
Electrocardiogram Reconstruction Based on Compressed Sensing. IEEE Access 7: 37228-37237 (2019) - [j37]Hongping Gan, Song Xiao, Tao Zhang, Feng Liu:
Bipolar measurement matrix using chaotic sequence. Commun. Nonlinear Sci. Numer. Simul. 72: 139-151 (2019) - [j36]Mingfeng Jiang, Liang Lu, Yi Shen, Long Wu, Yinglan Gong, Ling Xia, Feng Liu:
Directional tensor product complex tight framelets for compressed sensing MRI reconstruction. IET Image Process. 13(12): 2183-2189 (2019) - [j35]Hongping Gan, Song Xiao, Feng Liu:
Chaotic Binary Sensing Matrices. Int. J. Bifurc. Chaos 29(9): 1950121:1-1950121:20 (2019) - [j34]Chaoqun Niu, Qiuliang Wang, Yang Hu, Yaohui Wang, Fangfang Tang, Feng Liu, Stuart Crozier:
Numerical Design of High-Efficiency Whole-Body Gradient Coils With a Hybrid Cylindrical-Planar Structure. IEEE Trans. Biomed. Eng. 66(6): 1628-1636 (2019) - [j33]Lei Guo, Jin Jin, Mingyan Li, Yaohui Wang, Chun Liu, Feng Liu, Stuart Crozier:
Reference-Based Integral MR-EPT: Simulation and Experiment Studies at 9.4 T MRI. IEEE Trans. Biomed. Eng. 66(7): 1832-1843 (2019) - [j32]Shanshan Shan, Mingyan Li, Fangfang Tang, Huan Ma, Feng Liu, Stuart Crozier:
Gradient Field Deviation (GFD) Correction Using a Hybrid-Norm Approach With Wavelet Sub-Band Dependent Regularization: Implementation for Radial MRI at 9.4 T. IEEE Trans. Biomed. Eng. 66(9): 2693-2701 (2019) - [j31]Yaohui Wang, Qiuliang Wang, Lei Guo, Zhifeng Chen, Xinyuan Zhang, Hongyi Qu, Feng Liu:
A Dichotomization Winding Scheme on a Novel Asymmetric Head Gradient Coil Design With an Improved Force and Torque Balance. IEEE Trans. Biomed. Eng. 66(12): 3339-3345 (2019) - [c20]Zhimin Zhang, Weitong Chen, Chengyu Liu, Yun Kang, Feng Liu, Yuwen Li, Shoushui Wei:
Robust Feature Selection Based on Fuzzy Rough Sets with Representative Sample. ADMA 2019: 151-165 - 2018
- [j30]Lei Guo, Jin Jin, Chunyi Liu, Feng Liu, Stuart Crozier:
An Efficient Integral-Based Method for Three-Dimensional MR-EPT and the Calculation of the RF-Coil-Induced Bz Field. IEEE Trans. Biomed. Eng. 65(2): 282-293 (2018) - [j29]Yaohui Wang, Xuegang Xin, Feng Liu, Stuart Crozier:
Spiral Gradient Coil Design for Use in Cylindrical MRI Systems. IEEE Trans. Biomed. Eng. 65(4): 911-920 (2018) - 2017
- [j28]Yiran Wang, Zhifeng Chen, Jing Wang, Lixia Yuan, Ling Xia, Feng Liu:
Improved k-t PCA Algorithm Using Artificial Sparsity in Dynamic MRI. Comput. Math. Methods Medicine 2017: 4816024:1-4816024:12 (2017) - [j27]Ken Cai, Rongqian Yang, Huazhou Chen, Lihua Li, Jing Zhou, Shanxing Ou, Feng Liu:
A framework combining window width-level adjustment and Gaussian filter-based multi-resolution for automatic whole heart segmentation. Neurocomputing 220: 138-150 (2017) - [j26]Jin Jin, Ewald Weber, Yasvir Tesiram, Thimo Hugger, Mingyan Li, Miguel A. Fuentes, Peter Ullmann, Simon Stark, Sven Junge, Feng Liu, Stuart Crozier:
Image Reconstruction for a Rotating Radiofrequency Coil (RRFC) Using Self-Calibrated Sensitivity From Radial Sampling. IEEE Trans. Biomed. Eng. 64(2): 274-283 (2017) - [j25]Fangfang Tang, Fabio Freschi, Maurizio Repetto, Yu Li, Feng Liu, Stuart Crozier:
Mitigation of Intra-coil Eddy Currents in Split Gradient Coils in a Hybrid MRI-LINAC System. IEEE Trans. Biomed. Eng. 64(3): 725-732 (2017) - [j24]Yang Yang, Feng Liu, Mingyan Li, Jin Jin, Ewald Weber, Qing Huo Liu, Stuart Crozier:
Pseudo-Polar Fourier Transform-Based Compressed Sensing MRI. IEEE Trans. Biomed. Eng. 64(4): 816-825 (2017) - 2016
- [c19]Zhimin Zhang, Shoushui Wei, Dingwen Wei, Liping Li, Feng Liu, Chengyu Liu:
Comparison of Four Recovery Algorithms Used in Compressed Sensing for ECG Signal Processing. CinC 2016 - 2015
- [j23]Lina Zhao, Shoushui Wei, Chengqiu Zhang, Yatao Zhang, Xinge Jiang, Feng Liu, Chengyu Liu:
Determination of Sample Entropy and Fuzzy Measure Entropy Parameters for Distinguishing Congestive Heart Failure from Normal Sinus Rhythm Subjects. Entropy 17(9): 6270-6288 (2015) - [j22]Yang Yang, Feng Liu, Wenlong Xu, Stuart Crozier:
Compressed Sensing MRI via Two-stage Reconstruction. IEEE Trans. Biomed. Eng. 62(1): 110-118 (2015) - [j21]Yang Yang, Feng Liu, Zhaoyang Jin, Stuart Crozier:
Aliasing Artefact Suppression in Compressed Sensing MRI for Random Phase-Encode Undersampling. IEEE Trans. Biomed. Eng. 62(9): 2215-2223 (2015) - [c18]Changjiu Zhang, Zhaoyang Jin, Haihui Ye, Feng Liu:
Accelerating dynamic cardiac imaging based on a dual-dictionary learning algorithm. BMEI 2015: 57-61 - 2014
- [j20]Wei He, Ling Xia, Feng Liu:
Sparse-Representation-Based Direct Minimum Lp-Norm Algorithm for MRI Phase Unwrapping. Comput. Math. Methods Medicine 2014: 134058:1-134058:11 (2014) - [j19]Adnan Trakic, Limei Liu, Hector Sanchez Lopez, Luca L. Zilberti, Feng Liu, Stuart Crozier:
Numerical Safety Study of Currents Induced in the Patient During Rotations in the Static Field Produced by a Hybrid MRI-LINAC System. IEEE Trans. Biomed. Eng. 61(3): 784-793 (2014) - [c17]Jinsong Zhang, Zhaoyang Jin, Haihui Ye, Feng Liu:
Online dynamic magnetic resonance imaging based on an improved motion prediction scheme. BMEI 2014: 71-75 - [c16]Zhen Feng, He Guo, Yinxin Wang, Yeyang Yu, Yang Yang, Feng Liu, Stuart Crozier:
GPU accelerated high-dimensional compressed sensing MRI. ICARCV 2014: 648-651 - 2013
- [j18]Chengyu Liu, Ke Li, Lina Zhao, Feng Liu, Dingchang Zheng, Changchun Liu, Shutang Liu:
Analysis of heart rate variability using fuzzy measure entropy. Comput. Biol. Medicine 43(2): 100-108 (2013) - [j17]Mingfeng Jiang, Yaming Wang, Ling Xia, Feng Liu, Shanshan Jiang, Wenqing Huang:
The combination of self-organizing feature maps and support vector regression for solving the inverse ECG problem. Comput. Math. Appl. 66(10): 1981-1990 (2013) - [j16]Zhen Feng, Feng Liu, He Guo, Zhikui Chen, Mingfeng Jiang, Mingjian Hong, Qi Jia:
Distributed Compressed Sensing MRI Using Volume Array Coil. Int. J. Distributed Sens. Networks 9 (2013) - [c15]Qinjie Ruan, Zhaoyang Jin, Feng Liu, Ping Xu, Xiaoping Lai:
Fast dynamic magnetic resonance imaging based on an improved Motion Estimation/Motion Compensation scheme. BMEI 2013: 38-42 - [c14]Yiyuan Cheng, Ling Xia, Wei He, Minhua Zhu, Feng Liu:
Improved halbach magnets by particle swarm optimization for mobile nuclear magnetic resonance systems. ICNC 2013: 798-802 - 2012
- [j15]Mingfeng Jiang, Feng Liu, Yaming Wang, Guofa Shou, Wenqing Huang, Huaxiong Zhang:
A Hybrid Model of Maximum Margin Clustering Method and Support Vector Regression for Noninvasive Electrocardiographic Imaging. Comput. Math. Methods Medicine 2012: 436281:1-436281:9 (2012) - [j14]Wei He, Yiyuan Cheng, Ling Xia, Feng Liu:
A New Particle Swarm Optimization-Based Method for Phase Unwrapping of MRI Data. Comput. Math. Methods Medicine 2012: 475745:1-475745:9 (2012) - [j13]Ling Xia, Alan Murray, Dingchang Zheng, Feng Liu, Xuesong Ye, Gangmin Ning:
Cardiovascular System Modeling. Comput. Math. Methods Medicine 2012: 583172:1-583172:2 (2012) - [j12]Jianhong Dou, Ling Xia, Dongdong Deng, Yunliang Zang, Guofa Shou, Cesar Bustos, Weifeng Tu, Feng Liu, Stuart Crozier:
A Study of Mechanical Optimization Strategy for Cardiac Resynchronization Therapy Based on an Electromechanical Model. Comput. Math. Methods Medicine 2012: 948781:1-948781:13 (2012) - [j11]Adnan Trakic, Ewald Weber, Bing Keong Li, Hua O. Wang, Feng Liu, Craig Engstrom, Stuart Crozier:
Electromechanical Design and Construction of a Rotating Radio-Frequency Coil System for Applications in Magnetic Resonance. IEEE Trans. Biomed. Eng. 59(4): 1068-1075 (2012) - [j10]Minhua Zhu, Ling Xia, Feng Liu, Jianfeng Zhu, Liyi Kang, Stuart Crozier:
A Finite Difference Method for the Design of Gradient Coils in MRI - An Initial Framework. IEEE Trans. Biomed. Eng. 59(9): 2412-2421 (2012) - [j9]Tingting Shao, Ling Xia, Guisheng Tao, Jieru Chi, Feng Liu, Stuart Crozier:
Advanced Three-Dimensional Tailored RF Pulse Design in Volume Selective Parallel Excitation. IEEE Trans. Medical Imaging 31(5): 997-1007 (2012) - [c13]Wei Chen, Zhaoyang Jin, Feng Liu, Yiping P. Du:
Application of SVD-based sparsity in compressed sensing susceptibility weighted imaging. BMEI 2012: 447-450 - [c12]Mingyan Li, Jin Jin, Adnan Trakic, Feng Liu, Ewald Weber, Yu Li, Stuart Crozier:
Hign acceleration with a rotating radiofrequency coil array (RRFCA) in parallel magnetic resonance imaging (MRI). EMBC 2012: 1098-1101 - 2011
- [j8]Jieru Chi, Feng Liu, Ewald Weber, Yu Li, Stuart Crozier:
GPU-Accelerated FDTD Modeling of Radio-Frequency Field-Tissue Interactions in High-Field MRI. IEEE Trans. Biomed. Eng. 58(6): 1789-1796 (2011) - [c11]Yu Li, Feng Liu, Ewald Weber, Mingyan Li, Wenlong Xu, Stuart Crozier:
A theoretical study for the inverse design of an ellipsoidal phased-array breast coil. EMBC 2011: 539-542 - [c10]Jin Jin, Yu Li, Feng Liu, Ewald Weber, Stuart Crozier:
A comparison study of different RF shields for an 8-element transceive small animal array at 9.4T. EMBC 2011: 543-546 - [c9]Yu Li, Ewald Weber, Feng Liu, Bing Keong Li, Stuart Crozier:
The optimization of an 8-channel transceive volume array for small animal MRI at 9.4T. EMBC 2011: 2833-2836 - [c8]Jin Jin, Feng Liu, Yu Li, Ewald Weber, Wenlong Xu, Stuart Crozier:
A MOM/FEM-based coil sensitivity mapping method for high-field parallel MRI. EMBC 2011: 2837-2840 - [c7]Limei Liu, Hector Sanchez Lopez, Michael Poole, Feng Liu, Stuart Crozier:
Simulation and analysis of split gradient coil performance in MRI. EMBC 2011: 4149-4152 - [c6]Yeyang Yu, Mingjian Hong, Feng Liu, Hua Wang, Stuart Crozier:
Compressed sensing MRI using Singular Value Decomposition based sparsity basis. EMBC 2011: 5734-5737
2000 – 2009
- 2009
- [j7]Mingfeng Jiang, Ling Xia, Guofa Shou, Qing Wei, Feng Liu, Stuart Crozier:
Effect of Cardiac Motion on Solution of the Electrocardiography Inverse Problem. IEEE Trans. Biomed. Eng. 56(4): 923-931 (2009) - [j6]Guofa Shou, Ling Xia, Mingfeng Jiang, Qing Wei, Feng Liu, Stuart Crozier:
Solving the ECG Forward Problem by Means of Standard h- and h-Hierarchical Adaptive Linear Boundary Element Method: Comparison With Two Refinement Schemes. IEEE Trans. Biomed. Eng. 56(5): 1454-1464 (2009) - 2008
- [j5]Guofa Shou, Ling Xia, Mingfeng Jiang, Qing Wei, Feng Liu, Stuart Crozier:
Truncated Total Least Squares: A New Regularization Method for the Solution of ECG Inverse Problems. IEEE Trans. Biomed. Eng. 55(4): 1327-1335 (2008) - [j4]Hua O. Wang, Feng Liu, Adnan Trakic, Stuart Crozier:
An Improved Quasi-Static Finite-Difference Scheme for Induced Field Evaluation Based on the Biconjugate Gradient Method. IEEE Trans. Biomed. Eng. 55(7): 1800-1808 (2008) - 2007
- [c5]Guofa Shou, Ling Xia, Mingfeng Jiang, Feng Liu, Stuart Crozier:
Forward and Inverse Solutions of Electrocardiography Problem Using an Adaptive BEM Method. FIMH 2007: 290-299 - 2006
- [j3]Hua O. Wang, Marek E. Bialkowski, Feng Liu, Stuart Crozier:
FDTD Investigations into UWB Radar Technique of Breast Tumor Detection and Location. Afr. J. Inf. Commun. Technol. 2(2) (2006) - [c4]Hua O. Wang, Adnan Trakic, Ling Xia, Stuart Crozier, Feng Liu, Marek E. Bialkowski:
A Parallel FDTD Scheme for Electromagnetic Analysis and Design of MRI System. EMBC 2006: 264-267 - [c3]Adnan Trakic, Feng Liu, Hector Sanchez Lopez, Hua Wang, Stuart Crozier:
Tailoring magnetic field gradient design to magnet cryostat geometry. EMBC 2006: 268-271 - [c2]Hector Sanchez Lopez, Feng Liu, Adnan Trakic, Stuart Crozier:
A Magnetization Mapping Approach for Passive Shim Design in MRI. EMBC 2006: 1893-1896 - [c1]Guofa Shou, Mingfeng Jiang, Ling Xia, Qing Wei, Feng Liu, Stuart Crozier:
A comparison of different choices for the regularization parameter in inverse electrocardiography models. EMBC 2006: 3903-3906 - 2005
- [j2]Bin Xu, Qing Wei, Feng Liu, Stuart Crozier:
An inverse methodology for high-frequency RF coil design for MRI with de-emphasized B1 fields. IEEE Trans. Biomed. Eng. 52(9): 1582-1587 (2005) - 2003
- [j1]Feng Liu, Huawei Zhao, Stuart Crozier:
On the induced electric field gradients in the human body for magnetic stimulation by gradient coils in MRI. IEEE Trans. Biomed. Eng. 50(7): 804-815 (2003)
Coauthor Index
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