| Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer X Han, J Jovicich, D Salat, A van der Kouwe, B Quinn, S Czanner, E Busa, ... Neuroimage 32 (1), 180-194, 2006 | 1498 | 2006 |
| A topology preserving level set method for geometric deformable models X Han, C Xu, JL Prince IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (6), 755-768, 2003 | 632 | 2003 |
| MR‐based synthetic CT generation using a deep convolutional neural network method X Han Medical physics 44 (4), 1408-1419, 2017 | 588 | 2017 |
| MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: reliability effects of scan sessions, acquisition sequences, data analyses, scanner … J Jovicich, S Czanner, X Han, D Salat, A van der Kouwe, B Quinn, ... Neuroimage 46 (1), 177-192, 2009 | 525 | 2009 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 521 | 2023 |
| Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ... IEEE transactions on medical imaging 30 (11), 1901-1920, 2011 | 473 | 2011 |
| CRUISE: cortical reconstruction using implicit surface evolution X Han, DL Pham, D Tosun, ME Rettmann, C Xu, JL Prince NeuroImage 23 (3), 997-1012, 2004 | 269 | 2004 |
| Atlas renormalization for improved brain MR image segmentation across scanner platforms X Han, B Fischl IEEE transactions on medical imaging 26 (4), 479-486, 2007 | 261 | 2007 |
| Early triage of critically ill COVID-19 patients using deep learning W Liang, J Yao, A Chen, Q Lv, M Zanin, J Liu, SS Wong, Y Li, J Lu, ... Nature communications 11 (1), 3543, 2020 | 225 | 2020 |
| Atlas-based auto-segmentation of head and neck CT images X Han, MS Hoogeman, PC Levendag, LS Hibbard, DN Teguh, P Voet, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008 | 224 | 2008 |
| Clinical validation of atlas-based auto-segmentation of multiple target volumes and normal tissue (swallowing/mastication) structures in the head and neck DN Teguh, PC Levendag, PWJ Voet, A Al-Mamgani, X Han, TK Wolf, ... International Journal of Radiation Oncology* Biology* Physics 81 (4), 950-957, 2011 | 194 | 2011 |
| Automatic liver lesion segmentation using a deep convolutional neural network method X Han arXiv preprint arXiv:1704.07239, 2017 | 186 | 2017 |
| Automated sulcal segmentation using watersheds on the cortical surface ME Rettmann, X Han, C Xu, JL Prince NeuroImage 15 (2), 329-344, 2002 | 185 | 2002 |
| Autosegmentation for thoracic radiation treatment planning: a grand challenge at AAPM 2017 J Yang, H Veeraraghavan, SG Armato III, K Farahani, JS Kirby, ... Medical physics 45 (10), 4568-4581, 2018 | 176 | 2018 |
| Algorithm-enabled low-dose micro-CT imaging X Han, J Bian, DR Eaker, TL Kline, EY Sidky, EL Ritman, X Pan IEEE transactions on medical imaging 30 (3), 606-620, 2010 | 169 | 2010 |
| Multiscale feature extraction of finger-vein patterns based on curvelets and local interconnection structure neural network Z Zhang, S Ma, X Han 18th International conference on pattern recognition (ICPR'06) 4, 145-148, 2006 | 163 | 2006 |
| Topology correction in brain cortex segmentation using a multiscale, graph-based algorithm X Han, C Xu, U Braga-Neto, JL Prince IEEE Transactions on Medical Imaging 21 (2), 109-121, 2002 | 159 | 2002 |
| Cortical surface shape analysis based on spherical wavelets P Yu, PE Grant, Y Qi, X Han, F Ségonne, R Pienaar, E Busa, J Pacheco, ... IEEE transactions on medical imaging 26 (4), 582-597, 2007 | 131 | 2007 |
| Comparative study of algorithms for synthetic CT generation from MRI: consequences for MRI‐guided radiation planning in the pelvic region H Arabi, JA Dowling, N Burgos, X Han, PB Greer, N Koutsouvelis, H Zaidi Medical physics 45 (11), 5218-5233, 2018 | 103 | 2018 |
| Weakly supervised semantic segmentation with boundary exploration L Chen, W Wu, C Fu, X Han, Y Zhang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 93 | 2020 |
Jerry L. PrinceProfessor of Electrical and Computer Engineering, Johns Hopkins UniversityVerified email at jhu.edu
