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2022

Journal Article

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks

Gao, 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

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks

2022

Journal Article

Endogenous biocatalytic reaction-based nanoplatform for multifunctional tumor theranostics

Sheng, 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

Endogenous biocatalytic reaction-based nanoplatform for multifunctional tumor theranostics

2022

Journal Article

Recognition of digital dental X-ray images using a convolutional neural network

Liu, Feng, Gao, Lei, Wan, Jun, Lyu, Zhi-Lei, Huang, Ying-Ying, Liu, Chao and Han, Min (2022). Recognition of digital dental X-ray images using a convolutional neural network. Journal of Digital Imaging, 36 (1), 73-79. doi: 10.1007/s10278-022-00694-9

Recognition of digital dental X-ray images using a convolutional neural network

2022

Journal Article

Intermolecular acylation with acylphosphonates as alkyl radical receptor under metal-free conditions

Fang, Jing, Min, Qingqiang, Qin, Haitao and Liu, Feng (2022). Intermolecular acylation with acylphosphonates as alkyl radical receptor under metal-free conditions. Chinese Journal of Organic Chemistry, 42 (12), 4332-4339. doi: 10.6023/cjoc202207044

Intermolecular acylation with acylphosphonates as alkyl radical receptor under metal-free conditions

2022

Journal Article

Related turbulent momentum and passive scalar transfer in a turbulent channel flow

Tian, Ahui, Liu, Feng and Zhou, Yi (2022). Related turbulent momentum and passive scalar transfer in a turbulent channel flow. Acta Mechanica Sinica, 38 (10) 322242, 1-15. doi: 10.1007/s10409-022-22242-x

Related turbulent momentum and passive scalar transfer in a turbulent channel flow

2022

Journal Article

BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources

Zhu, 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

BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources

2022

Journal Article

Pore-based architecture and representative element volume evaluation in artificial sand packs and natural rock cores

Lv, Peng-Fei, Liu, Yu, Liu, Feng, Yang, Wen-Zhe, Liu, Han-Tao, Zhang, Bo and Song, Yong-Chen (2022). Pore-based architecture and representative element volume evaluation in artificial sand packs and natural rock cores. Petroleum Science, 19 (4), 1473-1482. doi: 10.1016/j.petsci.2022.03.002

Pore-based architecture and representative element volume evaluation in artificial sand packs and natural rock cores

2022

Journal Article

Cardiac Arrhythmia classification based on 3D recurrence plot analysis and deep learning

Zhang, 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

Cardiac Arrhythmia classification based on 3D recurrence plot analysis and deep learning

2022

Journal Article

Observation of J/Ψ electromagnetic Dalitz decays to X(1835), X(2120), and X(2370)

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, I., Ban, Y., Begzsuren, K., Berger, N., Bertani, M., Bettoni, A. D., Bianchi, A. F., Bloms, C. J., Bortone, A., Boyko, I., Briere, R. A., Cai, H., Cai, X., Calcaterra, A., Cao, G. F., Cao, N. ... Zou, J. H. (2022). Observation of J/Ψ electromagnetic Dalitz decays to X(1835), X(2120), and X(2370). Physical Review Letters, 129 (2) 022002. doi: 10.1103/PhysRevLett.129.022002

Observation of J/Ψ electromagnetic Dalitz decays to X(1835), X(2120), and X(2370)

2022

Journal Article

Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning

Zhu, 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

Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning

2022

Journal Article

Dense channel splitting network for MR image super-resolution

He, 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

Dense channel splitting network for MR image super-resolution

2022

Journal Article

A novel active shim coil design scheme for the effective imaging region above the patient bed in MRI

Niu, 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

A novel active shim coil design scheme for the effective imaging region above the patient bed in MRI

2022

Journal Article

Progress of ultra-high-field superconducting magnets in China

Wang, 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

Progress of ultra-high-field superconducting magnets in China

2022

Journal Article

Exposure of infants to gradient fields in a baby MRI scanner

Tang, 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

Exposure of infants to gradient fields in a baby MRI scanner

2022

Journal Article

Enhancing the drug sensitivity of antibiotics on drug-resistant bacteria via the photothermal effect of FeTGNPs

Zhang, Yufeng, Wang, Dianwei, Liu, Feng, Sheng, Shu, Zhang, Hongxu, Li, Wenlong, Li, Yanhui and Tian, Huayu (2022). Enhancing the drug sensitivity of antibiotics on drug-resistant bacteria via the photothermal effect of FeTGNPs. Journal of Controlled Release, 341, 51-59. doi: 10.1016/j.jconrel.2021.11.018

Enhancing the drug sensitivity of antibiotics on drug-resistant bacteria via the photothermal effect of FeTGNPs

2022

Journal Article

Actively-shielded ultrahigh field MRI/NMR superconducting magnet design

Wang, 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

Actively-shielded ultrahigh field MRI/NMR superconducting magnet design

2021

Journal Article

Design of an insertable cone-shaped gradient coil matrix for head imaging with a volumetric finite-difference method

Kang, 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

Design of an insertable cone-shaped gradient coil matrix for head imaging with a volumetric finite-difference method

2021

Journal Article

AutoBCS: Block-based image compressive sensing with data-driven acquisition and noniterative reconstruction

Gan, 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

AutoBCS: Block-based image compressive sensing with data-driven acquisition and noniterative reconstruction

2021

Journal Article

Maternal genetic history of southern East Asians over the past 12,000 years

Liu, Yalin, Wang, Tianyi, Wu, Xichao, Fan, Xuechun, Wang, Wei, Xie, Guangmao, Li, Zhen, Yang, Qingping, Cao, Peng, Yang, Ruowei, Liu, Feng, Dai, Qingyan, Feng, Xiaotian, Ping, Wanjing, Miao, Bo, Wu, Yun, Liu, Yichen and Fu, Qiaomei (2021). Maternal genetic history of southern East Asians over the past 12,000 years. Journal of Genetics and Genomics, 48 (10), 899-907. doi: 10.1016/j.jgg.2021.06.002

Maternal genetic history of southern East Asians over the past 12,000 years

2021

Journal Article

Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction

Gao, 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

Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction