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2024 Conference Publication QSM Reconstruction of Arbitrary Dipole Orientations using an End-to-end Neural Network via Latent Feature EditingGao, Yang, Xiong, Zhuang, Shan, Shanshan, Li, Min, Wilman, Alan H, Pike, G. Bruce, Liu, Feng and Sun, Hongfu (2024). QSM Reconstruction of Arbitrary Dipole Orientations using an End-to-end Neural Network via Latent Feature Editing. 2024 ISMRM & ISMRT Annual Meeting, Singapore, 4-9 May 2024. Concord, CA United States: ISMRM. doi: 10.58530/2024/2453 |
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2023 Journal Article Editorial: Imaging of neurometabolismZheng, Wenbin, Dai, Zhouzhi, Wu, Renhua and Sun, Hongfu (2023). Editorial: Imaging of neurometabolism. Frontiers in Neuroscience, 17 1286361, 1286361. doi: 10.3389/fnins.2023.1286361 |
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2023 Journal Article MapFlow: latent transition via normalizing flow for unsupervised domain adaptationAskari, Hossein, Latif, Yasir and Sun, Hongfu (2023). MapFlow: latent transition via normalizing flow for unsupervised domain adaptation. Machine Learning, 112 (8), 2953-2974. doi: 10.1007/s10994-023-06357-2 |
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2023 Journal Article Increased glymphatic system activity in patients with mild traumatic brain injuryDai, Zhuozhi, Yang, Zhiqi, Li, Zhaolin, Li, Mu, Sun, Hongfu, Zhuang, Zerui, Yang, Weichao, Hu, Zehuan, Chen, Xiaofeng, Lin, Daiying and Wu, Xianheng (2023). Increased glymphatic system activity in patients with mild traumatic brain injury. Frontiers in Neurology, 14 1148878, 1-7. doi: 10.3389/fneur.2023.1148878 |
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2023 Journal Article Distortion‐corrected image reconstruction with deep learning on an MRI‐LinacShan, Shanshan, Gao, Yang, Liu, Paul Z. Y., Whelan, Brendan, Sun, Hongfu, Dong, Bin, Liu, Feng and Waddington, David E. J. (2023). Distortion‐corrected image reconstruction with deep learning on an MRI‐Linac. Magnetic Resonance in Medicine, 90 (3), 1-15. doi: 10.1002/mrm.29684 |
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2023 Journal Article Affine transformation edited and refined deep neural network for quantitative susceptibility mappingXiong, Zhuang, Gao, Yang, Liu, Feng and Sun, Hongfu (2023). Affine transformation edited and refined deep neural network for quantitative susceptibility mapping. NeuroImage, 267 119842, 1-9. doi: 10.1016/j.neuroimage.2022.119842 |
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2023 Conference Publication QSM from the raw phase using an end-to-end neural networkGao, 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 |
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2022 Journal Article Quantitative susceptibility mapping changes relate to gait issues in Parkinson’s DiseaseNathoo, Nabeela, Gee, Myrlene, Nelles, Krista, Burt, Jacqueline, Sun, Hongfu, Seres, Peter, Wilman, Alan H., Beaulieu, Christian, Ba, Fang and Camicioli, Richard (2022). Quantitative susceptibility mapping changes relate to gait issues in Parkinson’s Disease. Canadian Journal of Neurological Sciences, 50 (6) PII S031716712200316X, 1-8. doi: 10.1017/cjn.2022.316 |
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2022 Journal Article Detecting monocyte trafficking in an animal model of glioblastoma using R2* and quantitative susceptibility mappingYang, Runze, Hamilton, A. Max, Sun, Hongfu, Rawji, Khalil S., Sarkar, Susobhan, Mirzaei, Reza, Pike, G. Bruce, Yong, V. Wee. and Dunn, Jeff F. (2022). Detecting monocyte trafficking in an animal model of glioblastoma using R2* and quantitative susceptibility mapping. Cancer Immunology, Immunotherapy, 72 (3), 733-742. doi: 10.1007/s00262-022-03297-z |
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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 Brain volume and magnetic susceptibility differences in children and adolescents with prenatal alcohol exposureNakhid, Daphne, McMorris, Carly, Sun, Hongfu, Gibbard, William Benton, Tortorelli, Christina and Lebel, Catherine (2022). Brain volume and magnetic susceptibility differences in children and adolescents with prenatal alcohol exposure. Alcoholism: Clinical and Experimental Research, 46 (10), 1797-1807. doi: 10.1111/acer.14928 |
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2022 Journal Article Quantitative susceptibility-weighted imaging in presence of strong susceptibility sources: application to hemorrhageDe, Ashmita, Sun, Hongfu, Emery, Derek J., Butcher, Kenneth S. and Wilman, Alan H. (2022). Quantitative susceptibility-weighted imaging in presence of strong susceptibility sources: application to hemorrhage. Magnetic Resonance Imaging, 92, 224-231. doi: 10.1016/j.mri.2022.06.010 |
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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 Brain iron and mental health symptoms in youth with and without prenatal alcohol exposureNakhid, Daphne, McMorris, Carly A., Sun, Hongfu, Gibbard, Ben, Tortorelli, Christina and Lebel, Catherine (2022). Brain iron and mental health symptoms in youth with and without prenatal alcohol exposure. Nutrients, 14 (11) 2213, 1-18. doi: 10.3390/nu14112213 |
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2022 Journal Article Distinguishing COVID-19 from influenza pneumonia in the early stage through CT imaging and clinical featuresYang, Zhiqi, Lin, Daiying, Chen, Xiaofeng, Qiu, Jinming, Li, Shengkai, Huang, Ruibin, Yang, Zhijian, Sun, Hongfu, Liao, Yuting, Xiao, Jianning, Tang, Yanyan, Chen, Xiangguang, Zhang, Sheng and Dai, Zhuozhi (2022). Distinguishing COVID-19 from influenza pneumonia in the early stage through CT imaging and clinical features. Frontiers in Microbiology, 13 847836, 1-9. doi: 10.3389/fmicb.2022.847836 |
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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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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 Journal Article Inter-observer variations of the tumor bed delineation for patients after breast conserving surgery in preoperative magnetic resonance and computed tomography scan fusionJiang, Jie, Chen, Jinhu, Li, Wanhu, Li, Yongqing, Chen, Yiru, Zhang, Zicheng, Liu, Chengxin, Han, Dan, Sun, Hongfu, Li, Baosheng and Huang, Wei (2021). Inter-observer variations of the tumor bed delineation for patients after breast conserving surgery in preoperative magnetic resonance and computed tomography scan fusion. Bmc Cancer, 21 (1) 838. doi: 10.1186/s12885-021-08546-5 |
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2021 Conference Publication Accelerating QSM using compressed sensing and deep neural networkGao, 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. |
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2021 Journal Article On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networksLiu, Xinwen, Wang, Jing, Sun, Hongfu, Chandra, Shekhar S, Crozier, Stuart and Liu, Feng (2021). On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks. Magnetic resonance imaging, 77, 159-168. doi: 10.1016/j.mri.2020.12.019 |
