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2024

Conference Publication

Fast controllable diffusion models for undersampled MRI reconstruction

Jiang, 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

Fast controllable diffusion models for undersampled MRI reconstruction

2023

Conference Publication

An improved anchor-free nodule detection system using feature pyramid network

Song, Wenjia, Tang, Fangfang, Marshall, Henry, Fong, Kwun M. and Liu, Feng (2023). An improved anchor-free nodule detection system using feature pyramid network. 45th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Sydney, NSW Australia, 24-27 July 2023. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/EMBC40787.2023.10340341

An improved anchor-free nodule detection system using feature pyramid network

2023

Conference Publication

Tuberculosis screening with cough sounds using the deep learning models

Yuan, Haixin, Lou, Xiaomin, Chen, Yuanyuan, Meng, Zijun, Bai, Junrong, Liu, Feng and Xu, Wenlong (2023). Tuberculosis screening with cough sounds using the deep learning models. 2023 4th International Conference on Big Data and Artificial Intelligence and Software Engineering (ICBASE), Nanjing, China, 25-27 August 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/icbase59196.2023.10303016

Tuberculosis screening with cough sounds using the deep learning models

2023

Conference Publication

AF automatic classification based on different time-delay values of the recurrence plot

Zhang, Hua, Liu, Chengyu, Tang, Fangfang, Li, Mingyan, Xia, Ling, Crozier, Stuart, Xu, Wenlong and Liu, Feng (2023). AF automatic classification based on different time-delay values of the recurrence plot. 45th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Sydney, NSW Australia, 24-27 July 2023. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/EMBC40787.2023.10340928

AF automatic classification based on different time-delay values of the recurrence plot

2023

Conference Publication

Multi-branch integrated model for respiratory disease screening using cough sounds

Liu, Wenlong, Xu, Wenlong, Jiang, Peirong, Zhang, Ning, Yuan, Haixin and Liu, Feng (2023). Multi-branch integrated model for respiratory disease screening using cough sounds. 2023 5th International Symposium on Smart and Healthy Cities (ISHC), Hainan, China, 16-17 December 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISHC61216.2023.00015

Multi-branch integrated model for respiratory disease screening using cough sounds

2023

Conference Publication

Exposure of infants in baby gradient coils

Tang, Fangfang, Giaccone, Luca, Freschi, Fabio, Crozier, Stuart and Liu, Feng (2023). Exposure of infants in baby gradient coils. ISMRM Annual Meeting, London, United Kingdom, 7-12 May 2022. Concord, CA, United States: ISMRM. doi: 10.58530/2022/4372

Exposure of infants in baby gradient coils

2023

Conference Publication

Tuberculosis detection based on cough sounds: a multi-model voting mechanism

Bao, Xiaofan, Xu, Wenlong, Pan, Chen, Liu, Wenlong, Lou, Xiaomin, Chen, Yuanyuan, Zhao, Xiaoqiang, Zhang, Chenlu and Liu, Feng (2023). Tuberculosis detection based on cough sounds: a multi-model voting mechanism. 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Taizhou, China, 28-30 October 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/CISP-BMEI60920.2023.10373284

Tuberculosis detection based on cough sounds: a multi-model voting mechanism

2023

Conference Publication

QSM from the raw phase using an end-to-end neural network

Gao, Yang, Xiong, Zhuang, Fazlollahi, Amir, Nestor, Peter, Vegh, Viktor, Pike, G. Bruce, Crozier, Stuart, Liu, Feng and Sun, Hongfu (2023). QSM from the raw phase using an end-to-end neural network. ISMRM Annual Meeting, London, United Kingdom, 7-12 May 2022. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/4740

QSM from the raw phase using an end-to-end neural network

2022

Conference Publication

Undersampled MRI reconstruction with side information-guided normalisation

Liu, 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

Undersampled MRI reconstruction with side information-guided normalisation

2021

Conference Publication

Image reconstruction for the rotating RF coil using k-t bin robust principal component analysis (RPCA) method

Shi, 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

Image reconstruction for the rotating RF coil using k-t bin robust principal component analysis (RPCA) method

2021

Conference Publication

Universal Undersampled MRI Reconstruction

Liu, 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

Universal Undersampled MRI Reconstruction

2021

Conference Publication

Accelerating QSM using compressed sensing and deep neural network

Gao, Yang, Liu, Feng, Crozier, Stuart and Sun, Hongfu (2021). Accelerating QSM using compressed sensing and deep neural network. 2021 ISMRM & SMRT Annual Meeting & Exhibition, Online, 15-20 May 2021. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine.

Accelerating QSM using compressed sensing and deep neural network

2020

Conference Publication

Deep simultaneous optimization of sampling and reconstruction for multi-contrast MRI

Liu, Xinwen, Wang, Jing, Tang, Fangfang, Chandra, Shekhar S., Liu, Feng and Crozier, Stuart (2020). Deep simultaneous optimization of sampling and reconstruction for multi-contrast MRI. ISMRM & SMRT Virtual Conference & Exhibition, 2020, Online, 8-14 August 2020.

Deep simultaneous optimization of sampling and reconstruction for multi-contrast MRI

2020

Conference Publication

Rapid region-of-interest MRI reconstruction using context-aware rapid region-of-interest MRI reconstruction using context-aware non-local U-net

Liu, Xinwen, Wang, Jing, Tang, Fangfang, Sun, Hongfu, Liu, Feng and Crozier, Stuart (2020). Rapid region-of-interest MRI reconstruction using context-aware rapid region-of-interest MRI reconstruction using context-aware non-local U-net. ISMRM & SMRT Virtual Conference & Exhibition, 2020, Virtual, 8-14 August 2020.

Rapid region-of-interest MRI reconstruction using context-aware rapid region-of-interest MRI reconstruction using context-aware non-local U-net

2019

Conference Publication

A novel mixed integer programming scheme for passive shimming in MRI

Qu, Hongyi, Niu, Chaoqun, Liu, Yang, Wang, Qiuliang and Liu, Feng (2019). A novel mixed integer programming scheme for passive shimming in MRI. Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall), Xiamen, China, 17-20 December 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/PIERS-Fall48861.2019.9021454

A novel mixed integer programming scheme for passive shimming in MRI

2019

Conference Publication

Robust feature selection based on fuzzy rough sets with representative sample

Zhang, Zhimin, Chen, Weitong, Liu, Chengyu, Kang, Yun, Liu, Feng, Li, Yuwen and Wei, Shoushui (2019). Robust feature selection based on fuzzy rough sets with representative sample. ADMA: International Conference on Advanced Data Mining and Applications, Dalian, China, 21-23 November 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35231-8_11

Robust feature selection based on fuzzy rough sets with representative sample

2017

Conference Publication

Comparison of four recovery algorithms used in compressed sensing for ECG signal processing

Zhang, Zhimin , Wei, Shoushui , Wei, Dingwen, Li, Liping , Liu, Feng and Liu, Chengyu (2017). Comparison of four recovery algorithms used in compressed sensing for ECG signal processing. 43rd Computing in Cardiology Conference, CinC 2016, Vancouver, Canada, 11 - 14 September 2016. Piscataway, NJ, United States: Institute for Electrical and Electronics Engineers. doi: 10.22489/cinc.2016.116-226

Comparison of four recovery algorithms used in compressed sensing for ECG signal processing

2016

Conference Publication

Development of high magnetic field magnet technologies for the magnetic resonance medical imaging

Wang, Qiu Liang, Yang, Wen Hui, Liu, Feng, Xia, Ling, Li, Yi, Ni, Zhi Peng, Yan, Lu Guang, Xu, Jian Yi, Cheng, Jun Sheng and Wang, Hui (2016). Development of high magnetic field magnet technologies for the magnetic resonance medical imaging. 2015 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD), Shanghai, China, 20-23 November 2015. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ASEMD.2015.7453633

Development of high magnetic field magnet technologies for the magnetic resonance medical imaging

2016

Conference Publication

IBEM applied to the design of gradient coils for superconducting MRI

Hu, Yang, Hu, Xin Ning, Yan, Lu Guang, Liu, Feng and Fang, You Tong (2016). IBEM applied to the design of gradient coils for superconducting MRI. IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2015, Shanghai, China, 20-23 November 2015. Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ASEMD.2015.7453636

IBEM applied to the design of gradient coils for superconducting MRI

2016

Conference Publication

Accelerating dynamic cardiac imaging based on a dual-dictionary learning algorithm

Zhang, Changjiu, Jin, Zhaoyang, Ye, Haihui and Liu, Feng (2016). Accelerating dynamic cardiac imaging based on a dual-dictionary learning algorithm. 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015, Shenyang, China, 14-16 October 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/BMEI.2015.7401473

Accelerating dynamic cardiac imaging based on a dual-dictionary learning algorithm