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2025 Journal Article Respiratory rate estimation from photoplethysmogram baseline wandering by harmonic analysis and sequential fusionZhang, Chi, Wei, Shaoming, Dong, Ge, Zeng, Yajun, Zhu, Guohun, Zhou, Xujuan and Liu, Feng (2025). Respiratory rate estimation from photoplethysmogram baseline wandering by harmonic analysis and sequential fusion. Biomedical Signal Processing and Control, 100 107006, 107006. doi: 10.1016/j.bspc.2024.107006 |
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2025 Journal Article Complex-valued image reconstruction for compressed sensing MRI using hierarchical constraintBi, Xue, Liu, Xinwen, Chen, Zhifeng, Chen, Hongli, Du, Yajun, Chen, Huizu, Huang, Xiaoli and Liu, Feng (2025). Complex-valued image reconstruction for compressed sensing MRI using hierarchical constraint. Magnetic Resonance Imaging, 115 110267, 110267. doi: 10.1016/j.mri.2024.110267 |
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2024 Journal Article Ultrahigh-field animal MRI system with advanced technological updateWang, Yaohui, Zhou, Guyue, Chen, Haoran, Wu, Pengfei, Yang, Wenhui, Liu, Feng and Wang, Qiuliang (2024). Ultrahigh-field animal MRI system with advanced technological update. npj Imaging, 2 (1) 54. doi: 10.1038/s44303-024-00060-0 |
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2024 Journal Article Passive shimming of a 3T cryogen-free animal magnetic resonance imaging superconducting magnet with dense shim tray slots and small residual magnetic forceWu, Pengfei, Wang, Yaohui, Wang, Wenchen, Wang, Weimin, Liu, Jinhao, Zhou, Guyue, Chen, Haoran, Wang, Hui, Chen, Shunzhong, Sun, Jinshui and Liu, Feng (2024). Passive shimming of a 3T cryogen-free animal magnetic resonance imaging superconducting magnet with dense shim tray slots and small residual magnetic force. Review of Scientific Instruments, 95 (11) 115101. doi: 10.1063/5.0215247 |
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2024 Journal Article An adaptive parameter decoupling algorithm-based image reconstruction model (ADAIR) for rapid golden-angle radial DCE-MRIChen, Zhifeng, Yuan, Zhenguo, Cheng, Junying, Liu, Jinhai, Liu, Feng and Chen, Zhaolin (2024). An adaptive parameter decoupling algorithm-based image reconstruction model (ADAIR) for rapid golden-angle radial DCE-MRI. Physics in medicine and biology, 69 (21) 215012, 215012. doi: 10.1088/1361-6560/ad8545 |
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2024 Journal Article Using adaptive imaging parameters to improve PEGylated ultrasmall iron oxide nanoparticles-enhanced magnetic resonance angiographyLi, Cang, Shan, Shanshan, Chen, Lei, Afshari, Mohammad Javad, Wang, Hongzhao, Lu, Kuan, Kou, Dandan, Wang, Ning, Gao, Yang, Liu, Chunyi, Zeng, Jianfeng, Liu, Feng and Gao, Mingyuan (2024). Using adaptive imaging parameters to improve PEGylated ultrasmall iron oxide nanoparticles-enhanced magnetic resonance angiography. Advanced Science, 11 (39) 2405719. doi: 10.1002/advs.202405719 |
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2024 Journal Article A multiscale 3D network for lung nodule detection using flexible nodule modelingSong, Wenjia, Tang, Fangfang, Marshall, Henry, Fong, Kwun M. and Liu, Feng (2024). A multiscale 3D network for lung nodule detection using flexible nodule modeling. Medical Physics, 51 (10), 7356-7368. doi: 10.1002/mp.17283 |
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2024 Journal Article LUCMT: Learnable under-sampling and reconstructed network with cross multi-head attention transformer for accelerating MR image reconstructionYang, Ziqi, Jiang, Mingfeng, Ruan, Dongshen, Li, Yang, Tan, Tao, Huang, Sumei and Liu, Feng (2024). LUCMT: Learnable under-sampling and reconstructed network with cross multi-head attention transformer for accelerating MR image reconstruction. Computer Methods and Programs in Biomedicine, 255 108359, 108359. doi: 10.1016/j.cmpb.2024.108359 |
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2024 Journal Article Implementing a two-stage, shim field-calibrated superconducting shimming method on a 7 T cryogen-free small animal MRI magnetLiu, Jinhao, Wang, Yaohui, Wang, Miutian, Wang, Wenchen, Yang, Gang, Wang, Weimin, Wang, Qiuliang and Liu, Feng (2024). Implementing a two-stage, shim field-calibrated superconducting shimming method on a 7 T cryogen-free small animal MRI magnet. Journal of Magnetic Resonance, 368 107787, 107787. doi: 10.1016/j.jmr.2024.107787 |
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2024 Journal Article A hybrid, nonlinear programming approach for optimizing passive shimming in MRIZhao, Jie, Zhu, Minhua, Xia, Ling, Fan, Yifeng and Liu, Feng (2024). A hybrid, nonlinear programming approach for optimizing passive shimming in MRI. Medical Physics, 51 (11), 8613-8622. doi: 10.1002/mp.17403 |
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2024 Journal Article MTC-CSNet: marrying transformer and convolution for image compressed sensingShen, Minghe, Gan, Hongping, Ma, Chunyan, Ning, Chao, Li, Hongqi and Liu, Feng (2024). MTC-CSNet: marrying transformer and convolution for image compressed sensing. IEEE Transactions on Cybernetics, 54 (9), 4949-4961. doi: 10.1109/tcyb.2024.3363748 |
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2024 Journal Article Active shimming for a 25 T NMR superconducting magnet by spectrum convergence methodChen, Haoran, Wang, Yaohui, Wang, Wenchen, Zhou, Guyue, Wu, Pengfei, Qu, Hongyi, Liu, Jianhua, Li, Liang and Liu, Feng (2024). Active shimming for a 25 T NMR superconducting magnet by spectrum convergence method. Journal of Magnetic Resonance, 364 107711, 107711. doi: 10.1016/j.jmr.2024.107711 |
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2024 Journal Article Electromagnetic design and mechanical analysis of a 28.2 T/1.2 GHz high field NMR magnetRen, Yong, Liu, Feng and Li, Da (2024). Electromagnetic design and mechanical analysis of a 28.2 T/1.2 GHz high field NMR magnet. IEEE Transactions on Applied Superconductivity, 34 (7) 4301507. doi: 10.1109/TASC.2024.3418385 |
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2024 Journal Article Solar-powered mixed-linker metal-organic frameworks for water harvesting from arid airYan, Xueli, Xue, Fei, Zhang, Chunyang, Peng, Hao, Huang, Jie, Liu, Feng, Lu, Kejian, Wang, Ruizhe, Shi, Jinwen, Li, Naixu, Chen, Wenshuai and Liu, Maochang (2024). Solar-powered mixed-linker metal-organic frameworks for water harvesting from arid air. Ecomat, 6 (7). doi: 10.1002/eom2.12473 |
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2024 Journal Article Passive shimming optimization method of MRI based on genetic algorithm-sequential quadratic programming 基 于 遗 传 算 法 -序 列 二 次 规 划 的 磁 共 振被 动 匀 场 优 化 方 法Zhao, Jie, Liu, Feng, Xia, Ling and Fan, Yifeng (2024). Passive shimming optimization method of MRI based on genetic algorithm-sequential quadratic programming 基 于 遗 传 算 法 -序 列 二 次 规 划 的 磁 共 振被 动 匀 场 优 化 方 法. Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 58 (6), 1305-1314. doi: 10.3785/j.issn.1008-973X.2024.06.020 |
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2024 Conference Publication Fast controllable diffusion models for undersampled MRI reconstructionJiang, Wei, Xiong, Zhuang, Liu, Feng, Ye, Nan and Sun, Hongfu (2024). Fast controllable diffusion models for undersampled MRI reconstruction. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 27-30 May 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/isbi56570.2024.10635891 |
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2024 Conference Publication Single image compressed sensing MRI via a self-supervised deep denoising approachBran Lorenzana, Marlon, Liu, Feng and Chandra, Shekhar S. (2024). Single image compressed sensing MRI via a self-supervised deep denoising approach. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 27-30 May 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/isbi56570.2024.10635749 |
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2024 Journal Article Feature fusion method for pulmonary tuberculosis patient detection based on cough soundXu, Wenlong, Bao, Xiaofan, Lou, Xiaomin, Liu, Xiaofang, Chen, Yuanyuan, Zhao, Xiaoqiang, Zhang, Chenlu, Pan, Chen, Liu, Wenlong and Liu, Feng (2024). Feature fusion method for pulmonary tuberculosis patient detection based on cough sound. PLoS One, 19 (5) e0302651, 1-12. doi: 10.1371/journal.pone.0302651 |
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2024 Journal Article Quantitative susceptibility mapping through model-based deep image prior (MoDIP)Xiong, Zhuang, Gao, Yang, Liu, Yin, Fazlollahi, Amir, Nestor, Peter, Liu, Feng and Sun, Hongfu (2024). Quantitative susceptibility mapping through model-based deep image prior (MoDIP). NeuroImage, 291 120583, 120583. doi: 10.1016/j.neuroimage.2024.120583 |
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2024 Journal Article A cross-domain complex convolution neural network for undersampled magnetic resonance image reconstructionYuan, Tengfei, Yang, Jie, Chi, Jieru, Yu, Teng and Liu, Feng (2024). A cross-domain complex convolution neural network for undersampled magnetic resonance image reconstruction. Magnetic Resonance Imaging, 108, 86-97. doi: 10.1016/j.mri.2024.02.004 |
