| The multimodal brain tumor image segmentation benchmark (BRATS) BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ... IEEE transactions on medical imaging 34 (10), 1993-2024, 2014 | 5618 | 2014 |
| Region filling and object removal by exemplar-based image inpainting A Criminisi, P Pérez, K Toyama Image Processing, IEEE Transactions on 13 (9), 1200-1212, 2004 | 4390 | 2004 |
| TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation J Shotton, J Winn, C Rother, A Criminisi Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006 | 1604 | 2006 |
| Object removal by exemplar-based inpainting A Criminisi, P Perez, K Toyama 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 1426 | 2003 |
| Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context J Shotton, J Winn, C Rother, A Criminisi International Journal of Computer Vision 81 (1), 2-23, 2009 | 1400 | 2009 |
| Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning A Criminisi, J Shotton, E Konukoglu Foundations and trends® in computer graphics and vision 7 (2–3), 81-227, 2012 | 1253 | 2012 |
| Object categorization by learned universal visual dictionary J Winn, A Criminisi, T Minka Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005 | 1179 | 2005 |
| Single view metrology A Criminisi, I Reid, A Zisserman International Journal of Computer Vision 40 (2), 123-148, 2000 | 1145 | 2000 |
| Scene coordinate regression forests for camera relocalization in RGB-D images J Shotton, B Glocker, C Zach, S Izadi, A Criminisi, A Fitzgibbon Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 993 | 2013 |
| Decision forests for computer vision and medical image analysis A Criminisi, J Shotton Springer, 2013 | 824 | 2013 |
| Efficient human pose estimation from single depth images J Shotton, R Girshick, A Fitzgibbon, T Sharp, M Cook, M Finocchio, ... IEEE transactions on pattern analysis and machine intelligence 35 (12), 2821 …, 2012 | 729 | 2012 |
| Regression forests for efficient anatomy detection and localization in computed tomography scans A Criminisi, D Robertson, E Konukoglu, J Shotton, S Pathak, S White, ... Medical image analysis 17 (8), 1293-1303, 2013 | 657 | 2013 |
| Deep neural decision forests P Kontschieder, M Fiterau, A Criminisi, SR Bulo Proceedings of the IEEE international conference on computer vision, 1467-1475, 2015 | 643 | 2015 |
| Unsupervised domain adaptation in brain lesion segmentation with adversarial networks K Kamnitsas, C Baumgartner, C Ledig, V Newcombe, J Simpson, A Kane, ... Information Processing in Medical Imaging: 25th International Conference …, 2017 | 548 | 2017 |
| Efficient regression of general-activity human poses from depth images R Girshick, J Shotton, P Kohli, A Criminisi, A Fitzgibbon 2011 International Conference on Computer Vision, 415-422, 2011 | 523 | 2011 |
| Geodesic star convexity for interactive image segmentation V Gulshan, C Rother, A Criminisi, A Blake, A Zisserman 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 516 | 2010 |
| Measuring neural net robustness with constraints O Bastani, Y Ioannou, L Lampropoulos, D Vytiniotis, A Nori, A Criminisi Advances in neural information processing systems 29, 2016 | 504 | 2016 |
| Harvesting image databases from the web F Schroff, A Criminisi, A Zisserman IEEE transactions on pattern analysis and machine intelligence 33 (4), 754-766, 2010 | 494 | 2010 |
| Creating architectural models from images D Liebowitz, A Criminisi, A Zisserman Computer Graphics Forum 18 (3), 39-50, 1999 | 434 | 1999 |
| DeepMedic for brain tumor segmentation K Kamnitsas, E Ferrante, S Parisot, C Ledig, AV Nori, A Criminisi, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016 | 390 | 2016 |
Jamie ShottonWayve在 wayve.ai 的电子邮件经过验证
