Magnetic resonance-based synthetic computed tomography using generative adversarial networks for intracranial tumor radiotherapy treatment planning. 2022, 12(3), 361.
Assessment of disrupted brain functional connectome in tuberous sclerosis complex using resting-state fMRI. 2022, 101(11), e29024.
Deep learning network for integrated coil inhomogeneity correction and brain extraction of mixed MRI data. 2022, 12(1), 8578.
Assessment of brain connectome alterations in male chronic smokers using structural and generalized q sampling MRI. 2022, 16(4), 1761-1775.
V.C.H. Chen, Y.S. Chou, Y.H. Tsai, Y.C. Huang, R.S. McIntyre, J.C. Weng*. Resting-state functional connectivity and brain network abnormalities in depressive patients with suicidal ideation. 2021, 34: 234-244.
V.C.H. Chen, C.J. Kao, Y.H. Tsai, R.S. McIntyre, J.C. Weng*. Mapping brain microstructure and network alterations in depressive patients with suicide attempts using generalized Q-sampling MRI. 2021, 11: 174.
N.Y.H. Wang, H.L.S. Wang, Y.C. Liu, Y.P.E. Chang, J.C. Weng*. Investigating the white matter correlates of reading performance: Evidence from Chinese children with reading difficulties. 2021, 16(3): e0248434.
V.C.H. Chen, F.T. Wong, Y.H. Tsai, M.T. Cheok, Y.P.E. Chang, R.S. McIntyre, J.C. Weng*. Convolutional neural network-based deep learning model for predicting differential suicidality in depressive patients using brain generalized q-sampling imaging. 2021, 82(2): e1-e7
J.D. Tsai, M.C. Ho, H.Y. Lee, C.Y. Shen, J.Y. Li, J.C. Weng*. Disrupted white matter connectivity and organization of brain structural connectomes in tuberous sclerosis complex patients with neuropsychiatric disorders using diffusion tensor imaging. 2021, 34: 189-200.
歷年計畫主持人研究計畫
Jun-Cheng Weng, Kai-Hsiang Chuang, Vincent Chin-Hung Chen, “Generative adversarial networks for integrated brain extraction and coil inhomogeneity correction of MRI data (以生成對抗網路於磁振造影資料進行腦部提取與線圈勻場校正)”, Ministry of Science and Technology, Taipei, Taiwan, 2021/8/1 – 2022/7/31; No. MOST110-2221-E-182-027.
Jun-Cheng Weng, Kang-Hsing Fan, Ji-Hong Hong, Yi-Ying Wu, “Machine learning attenuation correction on MR-only simulation for radiotherapy planning (適用於磁振造影模擬放射治療計劃之機器學習衰減校正)”, Chang Gung Memorial Hospital at LinKou, Taiwan, 2018/9/1 - 2020/8/31; No. CMRPD1H0421.
Jun-Cheng Weng, Vincent Chin-Hung Chen, Yen-Hsuan Hsu, “Mapping chemo-brain and predicting long-term cognitive function of breast cancer survivors using multiple MRI features machine learning (多磁振影像特徵之機器學習評估乳癌患者的化療腦與預測長期認知功能)”, Ministry of Science and Technology, Taipei, Taiwan, 2018/8/1 - 2021/7/31; No. MOST107-2221-E-182-054-MY3.
Jun-Cheng Weng, Vincent Chin-Hung Chen, Shu-Ling Huang, Ming-Chou Ho, “Evaluation in chemotherapy, PTSD and PTG effects on brain connectome and cognitive function of breast cancer survivors using perfusion-based functional connectivity (基於微灌流之功能性聯結評估化療與創傷後壓力疾患和成長對乳癌患者大腦聯結體與認知功能之影響)”, Ministry of Science and Technology, Taipei, Taiwan, 2017/8/1 - 2018/7/31; No. MOST106-2221-E-182-079.
Jun-Cheng Weng, Kai-Hsiang Chuang, Li-Wei Kuo, “Pharmacological modulation of functional connectivity in rodent brain using FAIR perfusion and BOLD fMRI (FAIR微灌流與BOLD之功能性磁振造影探討藥物調控鼠腦功能聯結)”, Ministry of Science and Technology, Taipei, Taiwan, 2015/8/1 - 2018/3/31; No. MOST104-2628-E-182-004-MY2.
Jun-Cheng Weng, Vincent Chin-Hung Chen, Shu-Ling Huang, Ming-Chou Ho, “Assessment of Chemotherapy-Induced Brain Connectome Changes and its Correlation with Cognitive Functioning in Breast Cancer Patients using Graph Theoretical Analysis (以圖論分析法評估化療對乳癌患者大腦聯結體與認知功能之影響)”, Ministry of Science and Technology, Taipei, Taiwan, 2015/8/1 - 2017/7/31; No. MOST104-2314-B-040-001.
Jun-Cheng Weng, Vincent Chin-Hung Chen, Shu-Ling Huang, Ming-Chou Ho, “PTSD and Chemotherapy Effects on Mental Health, Cognitive Function and Brain Plasticity of Women with Breast Cancer (乳癌患者創傷後壓力疾患與化療對心理健康、認知功能與大腦塑化之影響)”, National Science Council, Taipei, Taiwan, 2014/1/1 - 2015/7/31; No. NSC103-2420-H-040-002.
Jun-Cheng Weng, Kai-Hsiang Chuang, “Probing Neuroarchitecture using Diffusion Spectrum Imaging and Temporal Diffusion Spectroscopy (合併擴散譜磁振造影與時間擴散譜量測顯微神經結構)”, National Science Council, Taipei, Taiwan, 2013/8/1 - 2014/7/31; No. NSC102-2320-B-040-002.
Jun-Cheng Weng, “New Insights into Brain Plasticity and Connectivity using Oscillating Gradient Diffusion MRI (前瞻性振盪式梯度磁場擴散磁振造影偵測大腦塑化與連結之研發)”, Faculty Research Abroad Program, National Science Council, Taipei, Taiwan, 2013/8/1 - 2013/10/31; No. NSC102-2918-I-040-004.
Jun-Cheng Weng, Wen-Yih Isaac Tseng, “In Vivo Mapping of Relative Axonal Diameter and Density of Human Corpus Callosum using Q-planar Magnetic Resonance Imaging (擴散波數平面磁振造影研究活體人腦胼胝體神經軸突尺寸與密度)”, National Science Council, Taipei, Taiwan, 2012/8/1 - 2013/7/31; No. NSC101-2320-B-040-001.
Jun-Cheng Weng, “Mapping plasticity of cerebral activity and axonal fiber tract using manganese enhanced and diffusion magnetic resonance imaging (錳離子增強與擴散磁振造影於大腦功能與軸突纖維束可塑性之研究)”, National Science Council, Taipei, Taiwan, 2010/5/1 - 2011/7/31; No. NSC99-2314-B-040-001.
Jun-Cheng Weng, “Mapping brain structure and function using diffusion and molecular MRI (以擴散及分子磁振造影技術決定大腦結構與功能之研究)”, Graduate Students Study Abroad Program, National Science Council, Taipei, Taiwan, 2006/8/1 - 2007/8/31; No. NSC95-2917-I-002-023.