| 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 | 1871 | 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 | 1089 | 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 | 400 | 2009 |
| Computing Euler angles from a rotation matrix GG Slabaugh Retrieved on August 6 (2000), 39-63, 1999 | 383 | 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 | 339 | 2001 |
| Generalized voxel coloring WB Culbertson, T Malzbender, G Slabaugh Vision Algorithms: Theory and Practice: International Workshop on Vision …, 2000 | 263 | 2000 |
| 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 | 224 | 2020 |
| 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 | 224 | 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 | 214 | 2004 |
| 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 | 202 | 2020 |
| Graph cuts segmentation using an elliptical shape prior G Slabaugh, G Unal IEEE International Conference on Image Processing 2005 2, II-1222, 2005 | 184 | 2005 |
| 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 | 173 | 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 | 171 | 2008 |
| Reconstructing surfaces using anisotropic basis functions HQ Dinh, G Turk, G Slabaugh Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 157 | 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 | 151 | 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 | 129 | 2020 |
| 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 | 120 | 2010 |
| 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 | 118 | 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 | 116 | 2012 |
| Fully automatic cervical vertebrae segmentation framework for X-ray images SMMR Al Arif, K Knapp, G Slabaugh Computer methods and programs in biomedicine 157, 95-111, 2018 | 108 | 2018 |
