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Greg Slabaugh
Greg Slabaugh
Professor, and Director of DERI, Queen Mary University of London
Verified email at qmul.ac.uk - Homepage
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Cited by
Cited by
Year
DAGAN: deep de-aliasing generative adversarial networks for fast compressed sensing MRI reconstruction
G Yang, S Yu, H Dong, G Slabaugh, PL Dragotti, X Ye, F Liu, S Arridge, ...
IEEE transactions on medical imaging 37 (6), 1310-1321, 2017
6302017
Shape-based computer-aided detection of lung nodules in thoracic CT images
X Ye, X Lin, J Dehmeshki, G Slabaugh, G Beddoe
IEEE Transactions on Biomedical Engineering 56 (7), 1810-1820, 2009
3582009
A survey of methods for volumetric scene reconstruction from photographs
G Slabaugh, R Schafer, T Malzbender, B Culbertson
Volume Graphics 2001, 81-100, 2001
3262001
Computing Euler angles from a rotation matrix
GG Slabaugh
Retrieved on August 6 (2000), 39-63, 1999
2921999
A continual learning survey: Defying forgetting in classification tasks
M De Lange, R Aljundi, M Masana, S Parisot, X Jia, A Leonardis, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
2652021
Generalized voxel coloring
WB Culbertson, T Malzbender, G Slabaugh
International Workshop on Vision Algorithms, 100-115, 1999
2591999
Methods for volumetric reconstruction of visual scenes
GG Slabaugh, WB Culbertson, T Malzbender, MR Stevens, RW Schafer
International Journal of Computer Vision 57 (3), 179-199, 2004
1972004
Graph cuts segmentation using an elliptical shape prior
G Slabaugh, G Unal
IEEE International Conference on Image Processing 2005 2, II-1222, 2005
1802005
Reconstructing surfaces by volumetric regularization using radial basis functions
HQ Dinh, G Turk, G Slabaugh
IEEE transactions on pattern analysis and machine intelligence 24 (10), 1358 …, 2002
1622002
Shape-driven segmentation of the arterial wall in intravascular ultrasound images
G Unal, S Bucher, S Carlier, G Slabaugh, T Fang, K Tanaka
IEEE Transactions on Information Technology in Biomedicine 12 (3), 335-347, 2008
1522008
Continual learning: A comparative study on how to defy forgetting in classification tasks
M De Lange, R Aljundi, M Masana, S Parisot, X Jia, A Leonardis, ...
arXiv preprint arXiv:1909.08383 2 (6), 2019
1462019
Reconstructing surfaces using anisotropic basis functions
HQ Dinh, G Turk, G Slabaugh
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001
1432001
Method and apparatus for inner wall extraction and stent strut detection using intravascular optical coherence tomography imaging
G Unal, Y Yang, GG Slabaugh, T Fang
US Patent 7,801,343, 2010
1092010
Coupled PDEs for non-rigid registration and segmentation
G Unal, G Slabaugh
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
932005
Image-based photo hulls
G Slabaugh, R Schafer, M Hans
Proceedings. First International Symposium on 3D Data Processing …, 2002
932002
Automatic detection of bridge deck condition from ground penetrating radar images
ZW Wang, M Zhou, GG Slabaugh, J Zhai, T Fang
IEEE transactions on automation science and engineering 8 (3), 633-640, 2010
862010
Automatic segmentation of polyps in colonoscopic narrow-band imaging data
M Ganz, X Yang, G Slabaugh
IEEE Transactions on Biomedical Engineering 59 (8), 2144-2151, 2012
792012
Fusion of fMRI and non-imaging data for ADHD classification
A Riaz, M Asad, E Alonso, G Slabaugh
Computerized Medical Imaging and Graphics 65, 115-128, 2018
742018
A variational approach to problems in calibration of multiple cameras
G Unal, A Yezzi, S Soatto, G Slabaugh
IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (8), 1322-1338, 2007
722007
Video super-resolution with temporal group attention
T Isobe, S Li, X Jia, S Yuan, G Slabaugh, C Xu, YL Li, S Wang, Q Tian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
692020
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