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2022 Journal Article A forced cough sound based pulmonary function assessment method by using machine learningXu, Wenlong, He, Guoqiang, Pan, Chen, Shen, Dan, Zhang, Ning, Jiang, Peirong, Liu, Feng and Chen, Jingjing (2022). A forced cough sound based pulmonary function assessment method by using machine learning. Frontiers in Public Health, 10 1015876, 1-10. doi: 10.3389/fpubh.2022.1015876 |
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2022 Journal Article Analysis and suppression of thermal magnetic noise of ferrite in the SERF co-magnetometerPang, Haoying, Liu, Feng, Fan, Wengfeng, Wu, Jiaqi, Yuan, Qi, Wu, Zhihong and Quan, Wei (2022). Analysis and suppression of thermal magnetic noise of ferrite in the SERF co-magnetometer. Materials, 15 (19) 6971, 1-10. doi: 10.3390/ma15196971 |
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2022 Journal Article Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networksGao, Yang, Xiong, Zhuang, Fazlollahi, Amir, Nestor, Peter J., Vegh, Viktor, Nasrallah, Fatima, Winter, Craig, Pike, G. Bruce, Crozier, Stuart, Liu, Feng and Sun, Hongfu (2022). Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. NeuroImage, 259 119410, 1-13. doi: 10.1016/j.neuroimage.2022.119410 |
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2022 Journal Article Endogenous biocatalytic reaction-based nanoplatform for multifunctional tumor theranosticsSheng, Shu, Lin, Lin, Liu, Feng, Zhang, Ying, Xu, Caina, Hao, Kai, Wang, Dianwei, Tian, Huayu and Chen, Xuesi (2022). Endogenous biocatalytic reaction-based nanoplatform for multifunctional tumor theranostics. Chemistry of Materials, 34 (19), 8664-8674. doi: 10.1021/acs.chemmater.2c01648 |
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2022 Journal Article BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sourcesZhu, Xuanyu, Gao, Yang, Liu, Feng, Crozier, Stuart and Sun, Hongfu (2022). BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources. Zeitschrift fur Medizinische Physik, 33 (4), 578-590. doi: 10.1016/j.zemedi.2022.08.001 |
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2022 Journal Article Cardiac Arrhythmia classification based on 3D recurrence plot analysis and deep learningZhang, Hua, Liu, Chengyu, Tang, Fangfang, Li, Mingyan, Zhang, Dongxia, Xia, Ling, Zhao, Nan, Li, Sheng, Crozier, Stuart, Xu, Wenlong and Liu, Feng (2022). Cardiac Arrhythmia classification based on 3D recurrence plot analysis and deep learning. Frontiers in Physiology, 13 956320, 956320. doi: 10.3389/fphys.2022.956320 |
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2022 Journal Article Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learningZhu, Xuanyu, Gao, Yang, Liu, Feng, Crozier, Stuart and Sun, Hongfu (2022). Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning. Zeitschrift fur Medizinische Physik, 32 (2), 188-198. doi: 10.1016/j.zemedi.2021.06.004 |
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2022 Journal Article Dense channel splitting network for MR image super-resolutionHe, Yu, Tang, Fangfang, Jin, Jin, Li, Mingyan, Zhang, Hua and Liu, Feng (2022). Dense channel splitting network for MR image super-resolution. Magnetic Resonance Imaging, 88, 53-61. doi: 10.1016/j.mri.2022.01.016 |
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2022 Journal Article A novel active shim coil design scheme for the effective imaging region above the patient bed in MRINiu, Chaoqun, Tang, Fangfang, Wang, Qiuliang and Liu, Feng (2022). A novel active shim coil design scheme for the effective imaging region above the patient bed in MRI. Journal of Superconductivity and Novel Magnetism, 35 (6), 1685-1691. doi: 10.1007/s10948-022-06249-x |
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2022 Journal Article Progress of ultra-high-field superconducting magnets in ChinaWang, Qiuliang, Liu, Jianhua, Zheng, Jinxing, Qin, Jinggang, Ma, Yanwei, Xu, Qingjin, Wang, Dongliang, Chen, Wenge, Qu, Timing, Zhang, Xingyi, Jiang, Donghui, Wang, Yaohui, Zhou, Benzhe, Qin, Lang, Jin, Huan, Liu, Huajun, Zhai, Yujia and Liu, Feng (2022). Progress of ultra-high-field superconducting magnets in China. Superconductor Science and Technology, 35 (2) 023001, 023001. doi: 10.1088/1361-6668/ac3f9b |
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2022 Journal Article Exposure of infants to gradient fields in a baby MRI scannerTang, Fangfang, Giaccone, Luca, Hao, Jiahao, Freschi, Fabio, Wu, Tongning, Crozier, Stuart and Liu, Feng (2022). Exposure of infants to gradient fields in a baby MRI scanner. Bioelectromagnetics, 43 (2), 69-80. doi: 10.1002/bem.22387 |
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2022 Conference Publication Undersampled MRI reconstruction with side information-guided normalisationLiu, Xinwen, Wang, Jing, Peng, Cheng, Chandra, Shekhar S., Liu, Feng and Zhou, S. Kevin (2022). Undersampled MRI reconstruction with side information-guided normalisation. Medical Image Computing and Computer Assisted Intervention – MICCAI, Singapore, Singapore, 18-22 September 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-16446-0_31 |
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2022 Journal Article Actively-shielded ultrahigh field MRI/NMR superconducting magnet designWang, Yaohui, Wang, Qiuliang, Wang, Hui, Chen, Shunzhong, Hu, Xinning, Liu, Yang and Liu, Feng (2022). Actively-shielded ultrahigh field MRI/NMR superconducting magnet design. Superconductor Science and Technology, 35 (1) 014001, 014001. doi: 10.1088/1361-6668/ac370e |
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2021 Journal Article Design of an insertable cone-shaped gradient coil matrix for head imaging with a volumetric finite-difference methodKang, Liyi, Tang, Fangfang, Xia, Ling and Liu, Feng (2021). Design of an insertable cone-shaped gradient coil matrix for head imaging with a volumetric finite-difference method. Review of Scientific Instruments, 92 (12) 124709, 124709. doi: 10.1063/5.0060194 |
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2021 Journal Article AutoBCS: Block-based image compressive sensing with data-driven acquisition and noniterative reconstructionGan, Hongping, Gao, Yang, Liu, Chunyi, Chen, Haiwei, Zhang, Tao and Liu, Feng (2021). AutoBCS: Block-based image compressive sensing with data-driven acquisition and noniterative reconstruction. IEEE Transactions on Cybernetics, PP (99), 1-14. doi: 10.1109/tcyb.2021.3127657 |
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2021 Conference Publication Image reconstruction for the rotating RF coil using k-t bin robust principal component analysis (RPCA) methodShi, Ke, Li, Mingyan, Weber, Ewald, Crozier, Stuart and Liu, Feng (2021). Image reconstruction for the rotating RF coil using k-t bin robust principal component analysis (RPCA) method. Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Virtual, 1-5 November 2021. Piscataway, NJ, United States: IEEE. doi: 10.1109/EMBC46164.2021.9631104 |
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2021 Journal Article Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstructionGao, Yang, Cloos, Martijn, Liu, Feng, Crozier, Stuart, Pike, G. Bruce and Sun, Hongfu (2021). Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction. NeuroImage, 240 118404, 1-13. doi: 10.1016/j.neuroimage.2021.118404 |
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2021 Conference Publication Universal Undersampled MRI ReconstructionLiu, Xinwen, Wang, Jing, Liu, Feng and Zhou, S. Kevin (2021). Universal Undersampled MRI Reconstruction. MICCAI 2021: Medical Image Computing and Computer Assisted Intervention, Strasbourg, France, 27 September - 1 October 2021. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-87231-1_21 |
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2021 Journal Article Determination of the absolute branching fractions of D<sup>0</sup> → K<sup>-</sup>e<sup>+</sup>ν<sub>e</sub> and D<sup>+</sup> → (K)over-bar<sup>0</sup>e<sup>+</sup>ν<sub>e</sub>Ablikim, M., Achasov, M. N., Adlarson, P., Ahmed, S., Albrecht, M., Aliberti, R., Amoroso, A., An, M. R., An, Q., Bai, X. H., Bai, Y., Bakina, O., Ferroli, R. Baldini, Balossino,, Ban, Y., Begzsuren, K., Berger, N., Bertani, M., Bettoni, D., Bianchi, F., Bloms, J., Bortone, A., Boyko,, Briere, R. A., Cai, H., Cai, X., Calcaterra, A., Cao, G. F., Cao, N. ... Zou, J. H. (2021). Determination of the absolute branching fractions of D0 → K-e+νe and D+ → (K)over-bar0e+νe. Physical Review D, 104 (5) 052008, 1-10. doi: 10.1103/PhysRevD.104.052008 |
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2021 Journal Article Deep unregistered multi-contrast MRI reconstructionLiu, Xinwen, Wang, Jing, Jin, Jin, Li, Mingyan, Tang, Fangfang, Crozier, Stuart and Liu, Feng (2021). Deep unregistered multi-contrast MRI reconstruction. Magnetic Resonance Imaging, 81, 33-41. doi: 10.1016/j.mri.2021.05.005 |
