蔡畅实验室 - 脑成像 & 人工智能

致力于使用计算机方法揭开大脑的神秘面纱

华中师范大学国家教育大数据工程中心

2023年文章

  1. Wenlong Wang, Feifei Qi, David Wipf, Chang Cai, Tianyou Yu, Yuanqing Li, Yu Zhang, Zhuliang Yu, Wei Wu, Sparse Bayesian Learning for End-to-End EEG Decoding. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
  2. Chang Cai, Yuanshun Long, Sanjay Ghosh, Ali Hashemi, Yijing Gao, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, and Srikantan S. Nagarajan. Bayesian adaptive beamformer for robust electromagnetic brain imaging of correlated sources in high spatial resolution. IEEE Transactions on Medical Imaging, 2023, accepted. (top，中科院分区，1区)
  3. Oganian, Y., Kojima, K., Breska, A., Cai, C., Findlay, A., Chang, E., & Nagarajan, S. (2023). Phase alignment of low-frequency neural activity to the amplitude envelope of speech reflects evoked responses to acoustic edges, not oscillatory entrainment. Journal of Neuroscience.
  4. Ghosh, S., Cai, C., Gao, Y., Hashemi, A., Haufe, S., Sekihara, K., ... & Nagarajan, S. S. (2023, April). Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-rank Noise. In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (pp. 1-5).

2022年文章

  1. Chang Cai, Huicong Kang, Ali Hashemi, Dan Chen, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, and Srikantan S. Nagarajan. Bayesian algorithms for joint estimation of brain activity and noise in electromagnetic imaging. IEEE Transactions on Medical Imaging, 2022, accepted. (top，Q1，中科院分区，1区）
  2. Chang Cai, Leighton Hinkley; Yijing Gao; Ali Hashemi; Stefan Haufe; Kensuke Sekihara; Srikantan S Nagarajan; Empirical Bayesian Localization of Event-related Time-frequency Neural Activity Dynamics. Neuroimage, 2022, accept. ( top，Q1，中科院分区，1区，top)
  3. Hashemi A, Cai C, Gao Y, et al. Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models. IEEE Transactions on Medical Imaging, 2022, accepted.
  4. Huang, G., Liu, K., Liang, J., Cai, C., Gu, Z. H., Qi, F., ... & Wu, W. (2022). Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder–Decoder Network. IEEE Transactions on Neural Networks and Learning Systems.
  5. Kamalini Ranasinghe, Parul Verma, Chang Cai, Xihe Xie, Kiwamu Kudo, Xiao Gao, Hannah Lerner, Danielle Mizuiri, Amelia Strom, Leonardo Iaccarino, Renaud La Joie, Bruce L Miller, Maria Luisa Gorno-Tempini, Katherine P Rankin, William J Jagust, Keith Vossel, Gil Rabinovici, Ashish Raj, Srikantan Nagarajan;Altered excitatory and inhibitory neuronal subpopulation parameters are distinctly associated with tau and amyloid in Alzheimer's disease;2022, elife, https://doi.org/10.7554/eLife.77850
  6. Yunbo Tang; Dan Chen;Honghai Liu; Chang Cai; Xiaoli Li;Deep EEG Super-resolution via Correlating Brain Structural and Functional Connectivities;IEEE Transactions on Cybernetics;2022;10.1109/TCYB.2022.3178370

2021年文章

  1. Cai C, Chen J, Findlay A, Mizuiri D, Sekihara K, Kirsch HE and Nagarajan SS (2021) Clinical Validation of the Champagne Algorithm for Epilepsy Spike Localization. Frontiers in Human Neuroscience. 15:642819. doi: 10.3389/fnhum.2021.642819.
  2. Kangyang, Jingying Chen, Chang Cai, A preliminary study of brain connectivity in autism using affection-evoked movie clips, TALE 2021.（EI国际会议，通讯作者）
  3. Ke H, Cai C, Wang F, Hu F, Tang J and Shi Y (2021) Interpretation of Frequency Channel-Based CNN on Depression Identification. Front. Comput. Neurosci. 15:773147. doi: 10.3389/fncom.2021.773147 （通讯
  4. Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Mu ̈ller, Srikantan S. Nagarajan, and Stefan Haufe (2021), Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging. 35th Conference on Neural Information Processing Systems (NeurIPS 2021).
  5. Ali Hashemi; Chang Cai; Gitta Kutyniok; Klaus-Robert Müller; Srikantan S Nagarajan; Stefan Haufe. Unification of Sparse Bayesian Learning Algorithms for Electromagnetic Brain Imaging with the Majorization Minimization Framework [J]. NeuroImage, 2021
  6. Xie X, Cai C, Damasceno P F, et al. Emergence of Canonical Functional Networks from the Structural Connectome[J]. NeuroImage, 2021: 118190.
  7. Bhutada A S, Cai C, Mizuiri D, et al. Clinical Validation of the Champagne Algorithm for Evoked Response Source Localization in Magnetoencephalography[J]. Brain Topography, 2021: 1-12.
  8. Chang, Jolie L.; Crawford, Ethan D.; Bhutada, Abhishek S.; Henderson Sabes, Jennifer; Chen, Jessie; Cai, Chang; Dale, Corby L., Findlay, Anne M.; Mizuiri, Danielle; Nagarajan, Srikantan S.; Cheung, Steven W. Interhemispheric Auditory Cortical Synchronization in Asymmetric Hearing Loss, Ear and Hearing: March 26, 2021 - Volume Publish Ahead of Print - Issue - doi: 10.1097/AUD.0000000000001027

2020年文章

  1. Cai C, Hashemi A, Diwakar M, et al. Robust estimation of noise for electromagnetic brain imaging with the Champagne algorithm[J]. NeuroImage, 2020, 225: 117411. (top，Q1，中科院分区，1区，top)
  2. Raj A, Cai C, Xie X, et al. Spectral graph theory of brain oscillations[J]. Human Brain Mapping, 2020.（一作和最后作者为PI）
  3. Leighton B Hinkley, Corby L Dale, Chang Cai, Johanna Zumer, Sarang S Dalal, Anne Findlay, Kensuke Sekihara, Srikantan S Nagarajan. NUTMEG: Open Source Software for M/EEG Source Reconstruction. Frontiers in Neuroscience. 2020, 14: 710.

更早的文章

  1. Cai C, Diwakar M, Chen D, et al. Robust Empirical Bayesian Reconstruction of Distributed Sources for Electromagnetic Brain Imaging[J]. IEEE Transactions on Medical Imaging, 2019, 39(3): 567-577. ( top，Q1，中科院分区，1区，top)
  2. Cai C, Xu J, Velmurugan J, et al. Evaluation of a dual signal subspace projection algorithm in magnetoencephalographic recordings from patients with intractable epilepsy and vagus nerve stimulators[J]. NeuroImage, 2019, 188: 161-170. (top，Q1，中科院分区，1区，top)
  3. Cai C, Kang H, Kirsch H E, et al. Comparison of DSSP and tSSS algorithms for removing artifacts from vagus nerve stimulators in magnetoencephalography data[J]. Journal of neural engineering, 2019, 16(6): 066045. (Q1，中科院分区，2区)
  4. Cai C, Sekihara K, and Nagarajan S S. A Novel Scanning Algorithm for MEG/EEG imaging using Covariance Partitioning and Noise Learning. In 2019 the 41st International Engineering in Medicine and Biology Conference, IEEE/EMBC, Berlin, Germany （EI国际会议）
  5. Cai, C., Diwakar, M., Sekihara, K., & Nagarajan, S. S. (2019, March). Robust Bayesian algorithm for distributed source reconstructions MEG/EEG data. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 336-339). IEEE. （EI国际会议）
  6. Shang, Y., Hinkley, L. B., Cai, C., Mizuiri, D., Cheung, S. W., & Nagarajan, S. S. (2019). Cross-modal plasticity in adult single-sided deafness revealed by alpha band resting-state functional connectivity. NeuroImage, 116376.
  7. Subramaniam, K., Hinkley, L. B., Mizuiri, D., Kothare, H., Cai, C., Garrett, C., ... & Nagarajan, S. S. (2019). Beta-band activity in medial prefrontal cortex predicts source memory encoding and retrieval accuracy. Scientific reports, 9(1), 6814.
  8. Cai C, Sekihara K, Nagarajan S S. Hierarchical multiscale Bayesian algorithm for robust MEG/EEG source reconstruction[J]. NeuroImage, 2018, 183: 698-715. (top，Q1，中科院分区，1区，top)
  9. Shang, Y., Hinkley, L. B., Cai, C., Subramaniam, K., Chang, Y. S., Owen, J. P., ... & Cheung, S. W. (2018). Functional and Structural Brain Plasticity in Adult Onset Single-Sided Deafness. Frontiers in Human Neuroscience, 12, 474.
  10. Cai C, Sekihara K and Nagarajan S S, "Hierarchical multiscale Bayesian algorithms for biomagnetic brain imaging," 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), Shanghai, 2017, pp. 142-145. （EI国际会议）
  11. Chen D, Hu Y, Cai C, Zeng K, Li X. Brain big data processing with massively parallel computing technology: challenges and opportunities. Software: Practice and Experience. 2017 Mar 1;47(3):405-20.
  12. Cai C, Zeng K, Tang L, et al. Towards adaptive synchronization measurement of large-scale non-stationary non-linear data[J]. Future Generation Computer Systems, 2015, 43: 110-119. (Q1，中科院分区，1区，top)
  13. Sekihara, K., Adachi, Y., Kubota, H. K., Cai, C., & Nagarajan, S. S. (2018). Beamspace dual signal space projection (bDSSP): a method for selective detection of deep sources in MEG measurements. Journal of neural engineering, 15(3), 036026.
  14. Cai C, Chen H, Deng Z, Chen D, Khan S, Zeng K, and Wu M, "GPGPU-Aided 3D Staggered-grid Finite-difference Seismic Wave Modeling," in 12th International Conference on Scalable Computing and Communications (ScalCom), Changzhou, China, December 2012.
  15. D. Chen, X. Li, L. Wang, S. Khan, J. Wang, K. Zeng, C. Cai, "Fast and Scalable Multi-way Analysis of Neural Data,” IEEE Transactions on Computers, 10.1109/TC.2013.2295806, 2013.
  16. Chen D, Lu D, Tian M, He S, Wang S, Tian J, Cai C and Li X，“Towards Energy-efficient Parallel Analysis of Neural Signals”, ClusterComputing (Springer), 16(1):39-53, 2013.
  17. Cai C, Wang L, Tao J, Chen D, "Energy-aware High Performance Computing - A Taxonomy Study,” Proceedings of IEEE ICPADS2011 (In conjunction with DCIA2011), Tainan, Dec. 2011. （EI国际会议）
  18. Liu, Z., Shu, K., Geng, Y., Cai, C., & Kang, H. Deep brain stimulation of fornix in Alzheimer's disease: from basic research to clinical practice. European Journal of Clinical Investigation, e13995.

联系方式

didian 湖北省武汉市华中师范大学南湖校区南湖综合楼国家教育大数据工程中心

youjian email@ccnu.mails.edu.cn

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