Department of Computing

City School of Informatics People Greg Slabaugh

I am a Senior Lecturer in the Department of Computing in the School of Informatics at City University, London.

Potential PhD students

I am happy to advise PhD students in visual computing. Please contact me directly to discuss further. Requirements: Strong mathematical and programming (preferably Matlab and C++) skills; expertise in one or more of the following areas: image processing, computer vision, computer graphics, computational geometry, medical imaging.

Research

My research focusses on applications of

1. Medical image analysis
2. Computational geometry
3. Computer vision

Please see my research page for a more complete description.

Selected recent publications

A Model-Driven Bayesian Method for Polyp Detection and False Positive Suppression in CT Colonography Computer-Aided Detection, Xujiong Ye and Greg Slabaugh, book chapter contributed to Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis, IGI Global, January 2012.

A Robust and Efficient Approach to Detect 3D Rectal Tubes from CT Colonography, Xiaoyun Yang and Greg Slabaugh, Medical Physics 38(11), 2011.

Automatic Prone to Supine Haustral Fold Matching in CT Colonography using a Markov Random Field Model, Thomas Hampshire, Holger Roth, Mingxing Hu, Darren Boone, Greg Slabaugh, Shonit Punwani, Steve Halligan, David Hawkes, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2011.

Registration of the endoluminal surfaces of the colon derived from prone and supine CT colonography, Holger Roth, Jamie McClelland, Darren Boone, Marc Modat, Manuel Cardoso, Tom Hampshire, Mingxing Hu, Shonit Punwani, Sébastien Ourselin, Greg Slabaugh, Steve Halligan, David J. Hawkes, Medical Physics, 38(8), 2011.

Generating Shapes by Analogies: An application to Hearing Aid Design, Gozde Unal, Delphine Nain, Greg Slabaugh, Tong Fang, Computer-Aided Design 43(1), Pages 47 -56, 2011.

Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation, Sajjad Baloch, Rupen Melkisetoglu, Simon Floery, Sergei Azernikov, Greg Slabaugh, Alexander Zouhar, and Tong Fang, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2010.

3D Ball Skinning using PDEs for Generation of Smooth Tubular Surfaces, Greg Slabaugh, Brian Whited, Jarek Rossignac, Tong Fang, Gozde Unal, Computer-Aided Design, 42(1), 2009.

A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation, Greg Slabaugh, H. Quynh Dinh, Gozde Unal The International Conference on Computer Vision and Pattern Recognition (CVPR), 2007.

A Variational Approach to Problems in Calibration of Multiple Cameras, Gozde Unal, Anthony Yezzi, Stephano Soatto, and Greg Slabaugh, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 29, No. 8, August, 2007, pp. 1322-1338.

Active Polyhedron: Surface Evolution Theory Applied to Deformable Meshes, Greg Slabaugh, Gozde Unal, The International Conference on Computer Vision and Pattern Recognition (CVPR), Vol. 2, 2005, pp. 84 - 91.

Methods for Volumetric Reconstruction of Visual Scenes, Gregory G. Slabaugh, W. Bruce Culbertson, Thomas Malzbender, Mark R. Stevens, and Ronald W. Schafer, The International Journal of Computer Vision (IJCV), Vol. 57, No. 3, May - June 2004, pp. 179 - 199.

Reconstructing Surfaces By Volumetric Regularization Using Radial Basis Functions, Huong Quynh Dinh, Greg Turk, and Greg Slabaugh, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 24, No. 10, Oct. 2002, pp. 1358 - 1371.

Reconstructing Surfaces Using Anisotropic Basis Functions, Huong Quynh Dinh, Greg Turk, and Greg Slabaugh, The International Conference on Computer Vision (ICCV), Vol. 2, 2001, pp. 606 - 613.

Please see my publications for a more complete list.