Deep convolutional neural networks for multi-modality isointense infant brain image segmentation W Zhang, R Li, H Deng, L Wang, W Lin, S Ji, D Shen NeuroImage 108, 214-224, 2015 | 963 | 2015 |
Active contours driven by local Gaussian distribution fitting energy L Wang, L He, A Mishra, C Li Signal Processing 89 (12), 2435-2447, 2009 | 642 | 2009 |
Medical image synthesis with deep convolutional adversarial networks D Nie, R Trullo, J Lian, L Wang, C Petitjean, S Ruan, Q Wang, D Shen IEEE Transactions on Biomedical Engineering 65 (12), 2720-2730, 2018 | 641 | 2018 |
Deep learning based imaging data completion for improved brain disease diagnosis R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 604 | 2014 |
Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation L Wang, C Li, Q Sun, D Xia, CY Kao Computerized Medical Imaging and Graphics 33 (7), 520-531, 2009 | 544 | 2009 |
Dynamic development of regional cortical thickness and surface area in early childhood AE Lyall, F Shi, X Geng, S Woolson, G Li, L Wang, RM Hamer, D Shen, ... Cerebral cortex 25 (8), 2204-2212, 2015 | 410 | 2015 |
Fully convolutional networks for multi-modality isointense infant brain image segmentation D Nie, L Wang, Y Gao, D Shen 2016 IEEE 13Th international symposium on biomedical imaging (ISBI), 1342-1345, 2016 | 355 | 2016 |
The UNC/UMN baby connectome project (BCP): an overview of the study design and protocol development BR Howell, MA Styner, W Gao, PT Yap, L Wang, K Baluyot, E Yacoub, ... NeuroImage 185, 891-905, 2019 | 340 | 2019 |
ASDNet: attention based semi-supervised deep networks for medical image segmentation D Nie, Y Gao, L Wang, D Shen Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 334 | 2018 |
LRTV: MR Image Super-Resolution with Low-Rank and Total Variation Regularizations F Shi, J Cheng, L Wang, PT Yap, D Shen IEEE Trans. On Medical Imaging, 2015 | 327 | 2015 |
Estimating CT image from MRI data using 3D fully convolutional networks D Nie, X Cao, Y Gao, L Wang, D Shen Deep Learning and Data Labeling for Medical Applications: First …, 2016 | 310 | 2016 |
Estimating CT image from MRI data using structured random forest and auto-context model T Huynh, Y Gao, J Kang, L Wang, P Zhang, J Lian, D Shen IEEE transactions on medical imaging 35 (1), 174-183, 2015 | 290 | 2015 |
Mapping longitudinal development of local cortical gyrification in infants from birth to 2 years of age G Li, L Wang, F Shi, AE Lyall, W Lin, JH Gilmore, D Shen Journal of Neuroscience 34 (12), 4228-4238, 2014 | 268 | 2014 |
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images L Wang, Y Gao, F Shi, G Li, JH Gilmore, W Lin, D Shen Neuroimage 108, 160-172, 2015 | 261 | 2015 |
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis X Zhu, HI Suk, L Wang, SW Lee, D Shen, ... Medical image analysis 38, 205-214, 2017 | 247 | 2017 |
Mapping Region-Specific Longitudinal Cortical Surface Expansion from Birth to 2 Years of Age G Li, J Nie, L Wang, F Shi, W Lin, JH Gilmore, D Shen Cerebral Cortex, 2012 | 220 | 2012 |
Segmentation of neonatal brain MR images using patch-driven level sets L Wang, F Shi, G Li, Y Gao, W Lin, JH Gilmore, D Shen NeuroImage 84 (1), 141-158, 2014 | 199 | 2014 |
Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge L Wang, D Nie, G Li, É Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ... IEEE Transactions on Medical Imaging 38 (9), 2219-2230, 2019 | 198 | 2019 |
3-D fully convolutional networks for multimodal isointense infant brain image segmentation D Nie, L Wang, E Adeli, C Lao, W Lin, D Shen IEEE transactions on cybernetics 49 (3), 1123-1136, 2018 | 187 | 2018 |
Computational neuroanatomy of baby brains: A review G Li, L Wang, PT Yap, F Wang, Z Wu, Y Meng, P Dong, J Kim, F Shi, ... NeuroImage 185, 906-925, 2019 | 166 | 2019 |