PhD Students

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Miscellaneous Information

SHORT BIO

I obtained my Bachelor and Mater’s degree of Biomedical Engineering in Shanghai Jiao Tong University and then joined TIG in September 2014. My research interest mainly includes medical image segmentation, registration and visualisation. During my Master’s programme, I worked on segmentation framework in liver surgical planning system. In UCL, my research project is to develop segmentation algorithms for fetal surgery planning/guiding, under the supervision of Professor Sebastien Ourselin.​ My research is funded by UCL Overseas Research Scholarship (ORS) and UCL Graduate Research Scholarship (GRS).

 

RESEARCH INTERESTS

 

Medical image computing, deep learning, computer vision

 

EDUCATIONAL BACKGROUND

 

2014.9-Present     PhD student in Medical and Biomedical Imaging, University College London, UK

2011.9-2014.3      M.S. in Biomedical Engineering, Shanghai Jiao Tong Univesity, China.

                                I studied in the Image Guided Surgery and Therapy Lab and was Supervised by Professor Lixu Gu.

2007.9-2011.6      B.E. in Biomedical Engineering, Shanghai Jiao Tong University, China

                               Second major: Artificial Intelligence Science and Technology

 

PUBLICATION

 

NiftyNet: a deep-learning platform for medical imaging (http://niftynet.io/)

Arxiv preprint, 11 September 2017. https://arxiv.org/pdf/1709.03485

Eli Gibson, Wenqi Li, Carole Sudre, Lucas Fidon, Dzoshkun Shakir, Guotai Wang, Zach Eaton-Rosen, Robert Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren

 

Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks (2nd place out of 60 teams in MICCAI BraTS challenge 2017)

Arxiv preprint. 1 September 2017. https://arxiv.org/abs/1709.00382

Guotai Wang, Wenqi Li, Sebastien Ourselin and Tom Vercauteren. 

 

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

Arxiv preprint. 3 July 2017. https://arxiv.org/abs/1707.00652

Guotai Wang, Maria A. Zuluaga, Wenqi Li, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sebastien Ourselin and Tom Vercauteren. 

 

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task [pdf]

In International conference on Information Processing in Medical Imaging (IPMI), 2017

Wenqi Li, Guotai Wang, Lucas Fidon, Sébastien Ourselin, M. Jorge Cardoso and Tom Vercauteren. 

 

Dynamically Balanced Online Random Forests for Interactive Scribble-based Segmentation [pdf]

In Medical Image Computing and Computer-Assisted Intervention—MICCAI 2016, pp. 352-360. Springer International Publishing.

Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Tom Doel, Maria Klusmann, Anna L. David, Jan Deprest, Tom Vercauteren and Sébastien Ourselin. 

 

Slic-Seg: A Minimally Interactive Segmentation of the Placenta from Sparse and Motion-Corrupted Fetal MRI in Multiple Views [pdf]

Medical Image Analysis, Volume 34, December 2016, Pages 137–147.

Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Tom Doel, Maria Klusmann, Anna L. David, Jan Deprest, Tom Vercauteren and Sébastien Ourselin.

(This paper won the 2016 annual PhD prize in Medical Physics and Biomedical Engineering Department of UCL. The prize is for the best paper published by a student during the previous academic year.)

 

Slic-Seg: slice-by-slice segmentation propagation of the placenta in fetal MRI using one-plane scribbles and online learning [pdf]

In Medical Image Computing and Computer-Assisted Intervention—MICCAI 2015, pp. 29-37. Springer International Publishing, 2015.

Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Anna L. David, Jan Deprest, Tom Vercauteren and Sébastien Ourselin.

 

Minimally Interactive Placenta Segmentation from Motion Corrupted MRI for Fetal Surgical Planning  [pdf]

In Medical Image Computing and Computer-Assisted Intervention—MICCAI 2015, workshop on Interactive Medical Image Computing (IMIC).

Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Anna L. David, Jan Deprest, Tom Vercauteren and Sébastien Ourselin. 

 

A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning [pdf]

Medical Image Analysis, Volume 19, Issue 1, January 2015, Pages 176-186.

Guotai Wang, Shaoting Zhang, Hongzhi Xie, Dimitris N. Metaxas and Lixu Gu.

 

Scalable Sparse Shape Composition and Its Application to Liver Surgical Planning [pdf]

Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on, 377-380, April 2014.

Guotai Wang, Shaoting Zhang and Lixu Gu

 

A New Segmentation Framework Based on Sparse Shape Composition in Liver Surgery Planning System [pdf]

Medical physics, 2013, 40: 051913. (This paper was chosen as the cover)

Guotai Wang, Shaoting Zhang , Feng Li and Lixu Gu.

 

Segmentation Using Sparse Shape Composition and Minimally Supervised Method in Liver Surgery Planning System [pdf]

Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE , pp.6075-6078, 3-7 July 2013.

Guotai Wang, Shaoting Zhang , Feng Li and Lixu Gu.

 

An Augmented Magnetic Navigation System for Transcatheter Aortic Valve Implantation [pdf]

Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE , pp.5319-5322, 3-7 July 2013.

Zhe Luo, Junfeng Cai, Yuanyuan Nie, Guotai Wang and Lixu Gu.