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 | 386 | 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 | 324 | 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 | 313 | 2001 |
Computing Euler angles from a rotation matrix GG Slabaugh Retrieved on August 6 (2000), 39-63, 1999 | 256 | 1999 |
Generalized voxel coloring WB Culbertson, T Malzbender, G Slabaugh International Workshop on Vision Algorithms, 100-115, 1999 | 255 | 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 | 190 | 2004 |
Graph cuts segmentation using an elliptical shape prior G Slabaugh, G Unal IEEE International Conference on Image Processing 2005 2, II-1222, 2005 | 174 | 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 | 155 | 2002 |
Shape-driven segmentation of the arterial wall in intravascular ultrasound images G Ünal, S Bucher, S Carlier, G Slabaugh, T Fang, K Tanaka IEEE Transactions on Information Technology in Biomedicine 12 (3), 335-347, 2008 | 144 | 2008 |
Reconstructing surfaces using anisotropic basis functions HQ Dinh, G Turk, G Slabaugh Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 133 | 2001 |
Coupled PDEs for non-rigid registration and segmentation G Unal, G Slabaugh 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 87 | 2005 |
Image-based photo hulls G Slabaugh, R Schafer, M Hans Proceedings. First International Symposium on 3D Data Processing …, 2002 | 87 | 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 | 80 | 2010 |
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 | 79 | 2010 |
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 | 69 | 2019 |
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 | 65 | 2007 |
Ultrasound-specific segmentation via decorrelation and statistical region-based active contours G Slabaugh, G Unal, T Fang, M Wels 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 65 | 2006 |
Multicore image processing with openmp [applications corner] G Slabaugh, R Boyes, X Yang IEEE Signal Processing Magazine 27 (2), 134-138, 2010 | 63 | 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 | 62 | 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 | 48 | 2018 |