| Computer aided diagnostic assistance for medical imaging B Duggirala, DS Paine, D Comaniciu, A Krishnan, X Zhou US Patent 7,244,230, 2007 | 313 | 2007 |
| Segmentation of pulmonary nodules of various densities with morphological approaches and convexity models T Kubota, AK Jerebko, M Dewan, M Salganicoff, A Krishnan Medical Image Analysis 15 (1), 133-154, 2011 | 196 | 2011 |
| Robust anisotropic Gaussian fitting for volumetric characterization of pulmonary nodules in multislice CT K Okada, D Comaniciu, A Krishnan IEEE Transactions on Medical Imaging 24 (3), 409-423, 2005 | 190 | 2005 |
| System and method for whole body landmark detection, segmentation and change quantification in digital images X Huang, X Zhou, A Jerebko, A Krishnan, H Guan, T Kubota, V Potesil US Patent 7,876,938, 2011 | 171 | 2011 |
| Fluoroscopy based 3-D neural navigation based on co-registration of other modalities with 3-D angiography reconstruction data A Bani-Hashemi, A Krishnan, J Williams US Patent 6,351,513, 2002 | 143 | 2002 |
| Panoramic image acquisition A Krishnan, N Ahuja Proceedings CVPR IEEE Computer Society Conference on Computer Vision and …, 1996 | 127 | 1996 |
| Fluoroscopy based 3-D neural navigation based on 3-D angiography reconstruction data A Bani-Hashemi, A Krishnan, J Williams US Patent 6,389,104, 2002 | 120 | 2002 |
| Systems and methods for robust learning based annotation of medical radiographs Z Peng, Y Tao, XS Zhou, Y Zhan, A Krishnan US Patent 8,369,593, 2013 | 104 | 2013 |
| Systems and methods for viewing and analyzing anatomical structures A Krishnan, M Salganicoff, XS Zhou, VR Ramamurthy, L Bogoni, ... US Patent 9,020,235, 2015 | 90 | 2015 |
| Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model J Ma, L Lu, Y Zhan, X Zhou, M Salganicoff, A Krishnan Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 90 | 2010 |
| Stratified learning of local anatomical context for lung nodules in CT images D Wu, L Lu, J Bi, Y Shinagawa, K Boyer, A Krishnan, M Salganicoff 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 87 | 2010 |
| CAD (computer-aided decision) support for medical imaging using machine learning to adapt CAD process with knowledge collected during routine use of CAD system A Krishnan, J Stoeckel US Patent 7,529,394, 2009 | 87 | 2009 |
| System and method for real-time feature sensitivity analysis based on contextual information D Comaniciu, A Krishnan, XS Zhou, B Duggirala, D Paine US Patent 7,087,018, 2006 | 85 | 2006 |
| System and method for volume rendering-based segmentation A Krishnan US Patent 6,771,262, 2004 | 81 | 2004 |
| Active scheduling of organ detection and segmentation in whole-body medical images Y Zhan, XS Zhou, Z Peng, A Krishnan Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008 | 78 | 2008 |
| Registration of medical images using learned-based matching functions Y Zhan, X Zhou, A Krishnan US Patent 8,121,362, 2012 | 77 | 2012 |
| Range estimation from focus using a non-frontal imaging camera A Krishnan, N Ahuja International Journal of Computer Vision 20 (3), 169-185, 1996 | 75 | 1996 |
| Automatic learning of image features to predict disease A Krishnan, X Zhou, M Huber, M Kelm, J Freund US Patent 7,949,167, 2011 | 72 | 2011 |
| System and method for monitoring disease progression or response to therapy using multi-modal visualization VR Ramamurthy, A Krishnan, C Beldinger, J Soldner, M Mamin, A Barth, ... US Patent 7,616,799, 2009 | 70 | 2009 |
| Multi-level ground glass nodule detection and segmentation in CT lung images Y Tao, L Lu, M Dewan, AY Chen, J Corso, J Xuan, M Salganicoff, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009 | 70 | 2009 |
Xiang Sean ZhouUIIVerified email at siemens.com
