| Adaptive border marching algorithm: automatic lung segmentation on chest CT images J Pu, J Roos, AY Chin, S Napel, GD Rubin, DS Paik Computerized Medical Imaging and Graphics 32 (6), 452-462, 2008 | 278 | 2008 |
| Optimal threshold in CT quantification of emphysema Z Wang, S Gu, JK Leader, S Kundu, JR Tedrow, FC Sciurba, D Gur, ... European radiology 23, 975-984, 2013 | 166 | 2013 |
| An active contour model based on local fitted images for image segmentation L Wang, Y Chang, H Wang, Z Wu, J Pu, X Yang Information sciences 418, 61-73, 2017 | 138 | 2017 |
| SDFN: Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images H Liu, L Wang, Y Nan, F Jin, Q Wang, J Pu Computerized Medical Imaging and Graphics 75, 66-73, 2019 | 133 | 2019 |
| A computational geometry approach to automated pulmonary fissure segmentation in CT examinations J Pu, JK Leader, B Zheng, F Knollmann, C Fuhrman, FC Sciurba, D Gur IEEE transactions on medical imaging 28 (5), 710-719, 2008 | 131 | 2008 |
| On visual similarity based 2D drawing retrieval J Pu, K Ramani Computer-Aided Design 38 (3), 249-259, 2006 | 128 | 2006 |
| Pulmonary lobe segmentation in CT examinations using implicit surface fitting J Pu, B Zheng, JK Leader, C Fuhrman, F Knollmann, A Klym, D Gur IEEE transactions on medical imaging 28 (12), 1986-1996, 2009 | 126 | 2009 |
| A coarse-to-fine deep learning framework for optic disc segmentation in fundus images L Wang, H Liu, Y Lu, H Chen, J Zhang, J Pu Biomedical signal processing and control 51, 82-89, 2019 | 108 | 2019 |
| Active contours driven by edge entropy fitting energy for image segmentation L Wang, G Chen, D Shi, Y Chang, S Chan, J Pu, X Yang Signal processing 149, 27-35, 2018 | 104 | 2018 |
| Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model M Tan, J Pu, B Zheng International journal of computer assisted radiology and surgery 9, 1005-1020, 2014 | 97 | 2014 |
| Shape “break-and-repair” strategy and its application to automated medical image segmentation J Pu, DS Paik, X Meng, J Roos, GD Rubin IEEE transactions on visualization and computer graphics 17 (1), 115-124, 2010 | 94 | 2010 |
| Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network L Wang, J Gu, Y Chen, Y Liang, W Zhang, J Pu, H Chen Pattern recognition 112, 107810, 2021 | 92 | 2021 |
| Automated quantification of COVID-19 severity and progression using chest CT images J Pu, JK Leader, A Bandos, S Ke, J Wang, J Shi, P Du, Y Guo, SE Wenzel, ... European radiology 31, 436-446, 2021 | 90 | 2021 |
| A 2D sketch-based user interface for 3D CAD model retrieval J Pu, K Lou, K Ramani Computer-aided design and applications 2 (6), 717-725, 2005 | 88 | 2005 |
| CT based computerized identification and analysis of human airways: a review J Pu, S Gu, S Liu, S Zhu, D Wilson, JM Siegfried, D Gur Medical physics 39 (5), 2603-2616, 2012 | 86 | 2012 |
| Preoperative (3-dimensional) computed tomography lung reconstruction before anatomic segmentectomy or lobectomy for stage I non–small cell lung cancer EG Chan, JR Landreneau, MJ Schuchert, DD Odell, S Gu, J Pu, ... The Journal of thoracic and cardiovascular surgery 150 (3), 523-528, 2015 | 84 | 2015 |
| A differential geometric approach to automated segmentation of human airway tree J Pu, C Fuhrman, WF Good, FC Sciurba, D Gur IEEE transactions on medical imaging 30 (2), 266-278, 2010 | 84 | 2010 |
| An automated CT based lung nodule detection scheme using geometric analysis of signed distance field J Pu, B Zheng, JK Leader, XH Wang, D Gur Medical physics 35 (8), 3453-3461, 2008 | 81 | 2008 |
| Feasibility of lung cancer prediction from low-dose CT scan and smoking factors using causal models VK Raghu, W Zhao, J Pu, JK Leader, R Wang, J Herman, JM Yuan, ... Thorax 74 (7), 643-649, 2019 | 76 | 2019 |
| Methods for retrieving shapes and drawings K Ramani, J Pu US Patent 8,982,147, 2015 | 71 | 2015 |
