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Publication search results
found 27 matches
- 2024
- Zheng Yu, Shengyan Zhang, Linshuai Zhang, Chuanbiao Wen, Shuguang Yu, Jiaqi Sun, Suheng Deng, Hongfu Ci, Yanxiong Gan:
Design and Performance Evaluation of a Home-Based Automatic Acupoint Identification and Treatment System. IEEE Access 12: 25491-25500 (2024) - 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) - 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) - Xiang Li, Jian Wang, Haifeng Wei, Jinyu Cong, Hongfu Sun, Pingping Wang, Benzheng Wei:
MH2AFormer: An Efficient Multiscale Hierarchical Hybrid Attention With a Transformer for Bladder Wall and Tumor Segmentation. IEEE J. Biomed. Health Informatics 28(8): 4772-4784 (2024) - Wei Jiang, Zhuang Xiong, Feng Liu, Nan Ye, Hongfu Sun:
Fast Controllable Diffusion Models for Undersampled MRI Reconstruction. ISBI 2024: 1-5 - Zhuang Xiong, Wei Jiang, Yang Gao, Feng Liu, Hongfu Sun:
QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping. CoRR abs/2403.14070 (2024) - Hossein Askari, Fred Roosta, Hongfu Sun:
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems. CoRR abs/2404.03706 (2024) - 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
- Hossein Askari, Yasir Latif, Hongfu Sun:
MapFlow: latent transition via normalizing flow for unsupervised domain adaptation. Mach. Learn. 112(8): 2953-2974 (2023) - Zhuang Xiong, Yang Gao, Feng Liu, Hongfu Sun:
Affine transformation edited and refined deep neural network for quantitative susceptibility mapping. NeuroImage 267: 119842 (2023) - Yu Ren, Guoli Wang, Pingping Wang, Kunmeng Liu, Quanjin Liu, Hongfu Sun, Xiang Li, Benzheng Wei:
MM-SFENet: Multi-scale Multi-task Localization and Classification of Bladder Cancer in MRI with Spatial Feature Encoder Network. CoRR abs/2302.11095 (2023) - 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) - Wendi Ma, Marlon Bran Lorenzana, Wei Dai, Hongfu Sun, Shekhar S. Chandra:
Multi-scale MRI reconstruction via dilated ensemble networks. CoRR abs/2310.04705 (2023) - Wei Jiang, Zhuang Xiong, Feng Liu, Nan Ye, Hongfu Sun:
Fast Controllable Diffusion Models for Undersampled MRI Reconstruction. CoRR abs/2311.12078 (2023) - 2022
- 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) - 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) - 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
- Hongsheng Yan, Jianzhong Sun, Hongfu Zuo:
Anomaly detection based on multivariate data for the aircraft hydraulic system. J. Syst. Control. Eng. 235(5) (2021) - 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) - Dexin Zhao, Lin Zhu, Hongfu Sun, Jun Li, Weishi Wang:
Fengyun-3D/MERSI-II Cloud Thermodynamic Phase Determination Using a Machine-Learning Approach. Remote. Sens. 13(12): 2251 (2021) - 2020
- Hongfu Liu, Xu Yang, Peijun Chen, Mengwei Sun, Bin Li, Chenglin Zhao:
Deep Learning Based Nonlinear Signal Detection in Millimeter-Wave Communications. IEEE Access 8: 158883-158892 (2020) - Weiren Zhu, Lin Zhu, Jun Li, Hongfu Sun:
Retrieving Volcanic Ash Top Height through Combined Polar Orbit Active and Geostationary Passive Remote Sensing Data. Remote. Sens. 12(6): 953 (2020) - 2018
- Hongfu Sun, Yuhan Ma, M. Ethan MacDonald, G. Bruce Pike:
Whole head quantitative susceptibility mapping using a least-norm direct dipole inversion method. NeuroImage 179: 166-175 (2018) - 2017
- Michal Juhás, Hongfu Sun, Matthew R. G. Brown, Marnie B. MacKay, Karl F. Mann, Wolfgang H. Sommer, Alan H. Wilman, Serdar M. Dursun, Andrew J. Greenshaw:
Deep grey matter iron accumulation in alcohol use disorder. NeuroImage 148: 115-122 (2017) - 2016
- Tianci Zhang, Meng Ding, Hongfu Zuo, Lina Zeng, Zejun Sun:
A two-stage speed profile design methodology for smooth and fuel efficient aircraft ground movement. ICCA 2016: 479-484 - 2015
- Hongfu Sun, Andrew J. Walsh, R. Marc Lebel, Gregg Blevins, Ingrid Catz, Jian-Qiang Lu, Edward S. Johnson, Derek J. Emery, Kenneth G. Warren, Alan H. Wilman:
Validation of quantitative susceptibility mapping with Perls' iron staining for subcortical gray matter. NeuroImage 105: 486-492 (2015) - 2012
- Hong-Fu Wang, Li-Li Sun, Shou Zhang, Kyu-Hwang Yeon:
Scheme for entanglement concentration of unknown partially entangled three-atom W states in cavity QED. Quantum Inf. Process. 11(2): 431-441 (2012)
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