| Segmentation of prostate boundaries from ultrasound images using statistical shape model D Shen, Y Zhan, C Davatzikos IEEE transactions on medical imaging 22 (4), 539-551, 2003 | 344 | 2003 |
| Towards robust and effective shape modeling: Sparse shape composition S Zhang, Y Zhan, M Dewan, J Huang, DN Metaxas, XS Zhou Medical image analysis 16 (1), 265-277, 2012 | 297 | 2012 |
| Multi-instance deep learning: Discover discriminative local anatomies for bodypart recognition Z Yan, Y Zhan, Z Peng, S Liao, Y Shinagawa, S Zhang, DN Metaxas, ... IEEE transactions on medical imaging 35 (5), 1332-1343, 2016 | 285 | 2016 |
| Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method Y Zhan, D Shen IEEE transactions on medical imaging 25 (3), 256-272, 2006 | 283 | 2006 |
| Deformable segmentation via sparse representation and dictionary learning S Zhang, Y Zhan, DN Metaxas Medical image analysis 16 (7), 1385-1396, 2012 | 185 | 2012 |
| Whole-body PET/MR imaging: quantitative evaluation of a novel model-based MR attenuation correction method including bone DH Paulus, HH Quick, C Geppert, M Fenchel, Y Zhan, G Hermosillo, ... Journal of Nuclear Medicine 56 (7), 1061-1066, 2015 | 184 | 2015 |
| Recognizing end-diastole and end-systole frames via deep temporal regression network B Kong, Y Zhan, M Shin, T Denny, S Zhang Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 150 | 2016 |
| Deep-learning-based multi-modal fusion for fast MR reconstruction L Xiang, Y Chen, W Chang, Y Zhan, W Lin, Q Wang, D Shen IEEE Transactions on Biomedical Engineering 66 (7), 2105-2114, 2018 | 142 | 2018 |
| Design efficient support vector machine for fast classification Y Zhan, D Shen Pattern Recognition 38 (1), 157-161, 2005 | 131 | 2005 |
| Regression convolutional neural network for automated pediatric bone age assessment from hand radiograph X Ren, T Li, X Yang, S Wang, S Ahmad, L Xiang, SR Stone, L Li, Y Zhan, ... IEEE journal of biomedical and health informatics 23 (5), 2030-2038, 2018 | 126 | 2018 |
| Registering histologic and MR images of prostate for image-based cancer detection Y Zhan, Y Ou, M Feldman, J Tomaszeweski, C Davatzikos, D Shen Academic radiology 14 (11), 1367-1381, 2007 | 119 | 2007 |
| 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 | 110 | 2013 |
| Automated segmentation of 3D US prostate images using statistical texture-based matching method Y Zhan, D Shen Medical Image Computing and Computer-Assisted Intervention-MICCAI 2003: 6th …, 2003 | 104 | 2003 |
| Dixon sequence with superimposed model-based bone compartment provides highly accurate PET/MR attenuation correction of the brain T Koesters, KP Friedman, M Fenchel, Y Zhan, G Hermosillo, J Babb, ... Journal of Nuclear Medicine 57 (6), 918-924, 2016 | 100 | 2016 |
| 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 | 91 | 2010 |
| Registration of medical images using learned-based matching functions Y Zhan, X Zhou, A Krishnan US Patent 8,121,362, 2012 | 90 | 2012 |
| Joint detection and localization of multiple anatomical landmarks through learning M Dikmen, Y Zhan, X Zhou US Patent 8,160,322, 2012 | 89* | 2012 |
| 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 | 82 | 2008 |
| Robust MR spine detection using hierarchical learning and local articulated model Y Zhan, D Maneesh, M Harder, XS Zhou International conference on medical image computing and computer-assisted …, 2012 | 81 | 2012 |
| Targeted prostate biopsy using statistical image analysis Y Zhan, D Shen, J Zeng, L Sun, G Fichtinger, J Moul, C Davatzikos IEEE transactions on Medical Imaging 26 (6), 779-788, 2007 | 75 | 2007 |
Xiang Sean ZhouUIIVerified email at siemens.com
