Mr Zhaohan Xiong

BE(Hons)

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Doctoral Candidate - Doctor of Philosophy

Biography

Since 2016, Zhaohan has been a research assistant at Auckland Bioengineering Institute developing machine learning methods to aid the analysis of cardiac arrhythmias while simultaneously completing his Bachelors with First Class Honors in Engineering Science at the University of Auckland (2015-2018).

In 2019, Zhaohan started his doctoral study focusing deep learning for cardiac arrhythmia analysis.

Research | Current

Supervisor:

Publications (access here):

  • Wang, Y., Xiong, Z., Nalar, A., Hansen, B.J., Kharche, S., Seemann, G., Loewe, A., Fedorov, V.V. and Zhao, J., 2019. A robust computational framework for estimating 3D Bi-Atrial chamber wall thickness. Computers in Biology and Medicine, p.103444.
  • Xiong, Z. and Zhao, J., 2018. 2018 Atrial Segmentation Challenge. http://atriaseg2018.cardiacatlas.org/.
  • Xiong, Z., Fedorov, V.V., Fu, X., Cheng, E., Macleod, R. and Zhao, J., 2019. Fully automatic left atrium segmentation from late gadolinium enhanced magnetic resonance imaging using a dual fully convolutional neural network. IEEE Transactions on Medical Imaging38 (2), pp.515-524.
  • Xiong, Z., Nash, M.P., Cheng, E., Fedorov, V.V., Stiles, M.K. and Zhao, J., 2018. ECG signal classification for the detection of cardiac arrhythmias using a convolutional recurrent neural network. Physiological Measurement39 (9), p.094006.
  • Xiong, Z., Liu, T., Tse, G., Gong, M., Gladding, P., Smaill, B.H., Stiles, M., Gillis, A. and Zhao, J., 2018. A Machine Learning Aided Systematic Review and Meta-Analysis of the Relative Risk of Atrial Fibrillation in Patients With Diabetes Mellitus. Frontiers in Physiology9, p.835.
  • Fu, X., Liu, T., Xiong, Z., Smaill, B.H., Stiles, M.K. and Zhao, J., 2018. Segmentation of histological images and fibrosis identification with a convolutional neural network. Computers in Biology and Medicine98, pp.147-158.
  • Xiong, Z., Stiles, M.K. and Zhao, J., 2017, September. Robust ECG signal classification for detection of atrial fibrillation using a novel neural network. In 2017 Computing in Cardiology (CinC), pp.1-4.
  • Xiong, Z., Zhao, J. and Stiles, M., 2017. Machine Learning for Fully Automatic 3D Atria Segmentation and Reconstruction from Gadolinium Enhanced MRIs. Heart, Lung and Circulation26, p.S33.

Distinctions/Honours

2019-2022 National Heart Foundation Postgraduate Scholarship

Selected publications and creative works (Research Outputs)

  • Xiong, Z., Fedorov, V. V., Fu, X., Cheng, E., Macleod, R., & Zhao, J. (2019). Fully Automatic Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging Using a Dual Fully Convolutional Neural Network. IEEE transactions on medical imaging, 38 (2), 515-524. 10.1109/tmi.2018.2866845
    Other University of Auckland co-authors: Jichao Zhao
  • Xiong, Z., Nash, M. P., Cheng, E., Fedorov, V. V., Stiles, M. K., & Zhao, J. (2018). ECG signal classification for the detection of cardiac arrhythmias using a convolutional recurrent neural network. Physiological measurement, 39 (9)10.1088/1361-6579/aad9ed
    Other University of Auckland co-authors: Jichao Zhao, Martyn Nash
  • Xiong, Z., Liu, T., Tse, G., Gong, M., Gladding, P. A., Smaill, B. H., ... Zhao, J. (2018). A Machine Learning Aided Systematic Review and Meta-Analysis of the Relative Risk of Atrial Fibrillation in Patients With Diabetes Mellitus. Frontiers in Physiology, 9.10.3389/fphys.2018.00835
    Other University of Auckland co-authors: Bruce Smaill, Jichao Zhao
  • Fu, X., Liu, T., Xiong, Z., Smaill, B. H., Stiles, M. K., & Zhao, J. (2018). Segmentation of histological images and fibrosis identification with a convolutional neural network. Computers in biology and medicine, 98, 147-158. 10.1016/j.compbiomed.2018.05.015
    Other University of Auckland co-authors: Bruce Smaill, Jichao Zhao
  • Xiong, Z., Stiles, M. K., & Zhao, J. (2017). Robust ECG signal classification for detection of atrial fibrillation using a novel neural network. Computing in Cardiology. 10.22489/CinC.2017.066-138
    Other University of Auckland co-authors: Jichao Zhao

Contact details

Primary office location

AUCKLAND BIOENGINEERING HOUSE - Bldg 439
Level 1, Room 101
70 SYMONDS ST
GRAFTON
AUCKLAND 1010
New Zealand