| 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 | 630 | 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 | 358 | 2009 |
| A survey of methods for volumetric scene reconstruction from photographs G Slabaugh, R Schafer, T Malzbender, B Culbertson Volume Graphics 2001, 81-100, 2001 | 326 | 2001 |
| Computing Euler angles from a rotation matrix GG Slabaugh Retrieved on August 6 (2000), 39-63, 1999 | 292 | 1999 |
| 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 | 265 | 2021 |
| Generalized voxel coloring WB Culbertson, T Malzbender, G Slabaugh International Workshop on Vision Algorithms, 100-115, 1999 | 259 | 1999 |
| 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 | 197 | 2004 |
| Graph cuts segmentation using an elliptical shape prior G Slabaugh, G Unal IEEE International Conference on Image Processing 2005 2, II-1222, 2005 | 180 | 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 | 162 | 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 | 152 | 2008 |
| 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 | 146 | 2019 |
| Reconstructing surfaces using anisotropic basis functions HQ Dinh, G Turk, G Slabaugh Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 143 | 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 | 109 | 2010 |
| Coupled PDEs for non-rigid registration and segmentation G Unal, G Slabaugh 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 93 | 2005 |
| Image-based photo hulls G Slabaugh, R Schafer, M Hans Proceedings. First International Symposium on 3D Data Processing …, 2002 | 93 | 2002 |
| 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 | 86 | 2010 |
| 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 | 79 | 2012 |
| 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 | 74 | 2018 |
| 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 | 72 | 2007 |
| 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 | 69 | 2020 |
