Department of Computer Science

Greg Slabaugh

Senior Lecturer

Dr Greg Slabaugh
Senior Lecturer
Room: A309C
Department of Computer Science
School of Mathematics, Computer Science & Engineering
City, University of London
London EC1V 0HB
tel: +44 20 7040 8416

Google Scholar

You can find a listing of all my publications in Google scholar and a complete listing appears below.


  Students' Union Learning Enhancement Award for Research Supervision      



  • A Fully Automatic Deep Learning Method for Atrial Scarring Segmentation from Late Gadolinium-Enhanced MRI Images, Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Kyktari, Xujiong Ye, Greg Slabaugh, Tom Wong, Raad Mohaddin, Jennifer Keegan David Firman, International Symposium on Biomedical Imaging (ISBI) 2017.
  • Segmenting Atrial Fibrosis from late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders, Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Xujiong Ye, Greg Slabaugh, Tom Wong, Raad Mohiaddin, Jenny Keegan, David Firmin, Medical Image Understanding and Analysis (MIUA) 2017.
  • Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold, Muhammad Moazzam Jawaid, Ronak Rajani, Panos Liatsis, Constantino Carlos Reyes Aldasoro, Greg Slabaugh, Medical Image Understanding and Analysis (MIUA) 2017.
  • Segmentation of Overlapping Macrophages Using Anglegram Analysis, José Alonso Solís Lemus, Brian Stramer, Greg Slabaugh, Constanino Carlos Reyes Aldasoro, Medical Image Understanding and Analysis (MIUA) 2017.
  • Differentiation of Pre-ablation and Post-ablation Late Gadolinium-enhanced Cardiac MRI Scans of Longstanding Persistent Atrial Fibrillation Patients, Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Xujiong Ye, Greg Slabaugh, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David Firman, SPIE Medical Imaging 2017.









  • 3-D statistical shape modeling and application to prototyping of hearing aids, Gozde Unal, Delphine Nain, Greg Slabaugh, Tong Fang IEEE Signal Processing and Communications Applications Conference (SIU), 2009.


  • Pearling: Stroke Segmentation with Crusted Pearl Strings, Brian Whited, Jarek Rossignac, Greg Slabaugh, Tong Fang, and Gozde Unal, the Journal of Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications , 2009. An earlier version appears in The First International Workshop on on Image Mining Theory and Applications (IMTA), 2008.
  • Guest Editorial Introduction to the Special Section on Computer Vision for Intravascular and Intracardiac Imaging, Gozde Unal, Greg Slabaugh, Ioannis Kakadiaris, Allan Tannenbaum, IEEE Transactions on Information Technology in Biomedicine (TITB) , special issue on Computer Vision for Intravascular Imaging, Vol 12(3), pp. 273-276, 2008.



  • Semi-Automatic Lymph Node Segmentation in LN-MRI, Gozde Unal, Greg Slabaugh, Andreas Ess, Anthony Yezzi, Tong Fang, Jason Tyan, Martin Requardt, Robert Krieg, Ravi Seethamraju, Mukesh Harisinghani, Ralph Weissleder, The International Conference on Image Processing (ICIP) 2006.





  • Image-Based Photo Hulls, Gregory G. Slabaugh, Ronald W. Schafer, and Mat C. Hans, The 1st International Symposium on 3DProcessing, Visualization, and Transmission (3DPVT), 2002, pp. 704 - 708.



  • Volumetric Warping for Voxel Coloring on an Infinite Domain, Greg Slabaugh, Tom Malzbender, and Bruce Culbertson, European Workshop on 3D Structure from Multiple Images for Large-Scale Environments (Pollefeys, M., Van Gool, L., Zisserman, A., and Fitzgibbon, A., Eds.), Springer LNCS 2018, 2000, pp. 109 - 123.


  • Generalized Voxel Coloring, Bruce Culbertson, Tom Malzbender, and Greg Slabaugh, Proc. of Vision Algorithms: Theory and Practice, International Workshop on Vision Algorithms (Bill Triggs, Andrew Zisserman, Richard Szeliski, Eds.), Springer-Verlag LNCS 1883, 1999, pp. 100 - 115.


Copyright: These papers are made available for individual use subject to authors' and publisher's copyright.