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 | 1514 | 2021 |
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 | 1008 | 2017 |
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 | 397 | 2009 |
Computing Euler angles from a rotation matrix GG Slabaugh Retrieved on August 6 (2000), 39-63, 1999 | 363 | 1999 |
A survey of methods for volumetric scene reconstruction from photographs G Slabaugh, R Schafer, T Malzbender, B Culbertson Volume Graphics 2001: Proceedings of the Joint IEEE TCVG and Eurographics …, 2001 | 333 | 2001 |
Generalized voxel coloring WB Culbertson, T Malzbender, G Slabaugh Vision Algorithms: Theory and Practice: International Workshop on Vision …, 2000 | 269 | 2000 |
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), 2, 2019 | 246 | 2019 |
Methods for volumetric reconstruction of visual scenes GG Slabaugh, WB Culbertson, T Malzbender, MR Stevens, RW Schafer International Journal of Computer Vision 57, 179-199, 2004 | 218 | 2004 |
Graph cuts segmentation using an elliptical shape prior G Slabaugh, G Unal IEEE International Conference on Image Processing 2005 2, II-1222, 2005 | 185 | 2005 |
DeepLPF: Deep Local Parametric Filters for Image Enhancement S Moran, P Marza, S McDonagh, S Parisot, G Slabaugh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 183 | 2020 |
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 | 181 | 2020 |
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 | 170 | 2002 |
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 | 167 | 2008 |
Reconstructing surfaces using anisotropic basis functions HQ Dinh, G Turk, G Slabaugh Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 156 | 2001 |
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 | 144 | 2010 |
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 | 112 | 2010 |
DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI A Riaz, M Asad, E Alonso, G Slabaugh Journal of neuroscience methods 335, 108506, 2020 | 108 | 2020 |
Image-based photo hulls G Slabaugh, R Schafer, M Hans Proceedings. First International Symposium on 3D Data Processing …, 2002 | 106 | 2002 |
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 | 105 | 2018 |
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 | 105 | 2012 |