| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2281 | 2018 |
| Lung infection quantification of COVID-19 in CT images with deep learning F Shan, Y Gao, J Wang, W Shi, N Shi, M Han, Z Xue, D Shen, Y Shi arXiv preprint arXiv:2003.04655, 2020 | 701 | 2020 |
| The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge N Heller, F Isensee, KH Maier-Hein, X Hou, C Xie, F Li, Y Nan, G Mu, ... Medical image analysis 67, 101821, 2021 | 612 | 2021 |
| Dual-sampling attention network for diagnosis of COVID-19 from community acquired pneumonia X Ouyang, J Huo, L Xia, F Shan, J Liu, Z Mo, F Yan, Z Ding, Q Yang, ... IEEE transactions on medical imaging 39 (8), 2595-2605, 2020 | 400 | 2020 |
| 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 | 362 | 2016 |
| 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 | 342 | 2018 |
| Deformable MR prostate segmentation via deep feature learning and sparse patch matching Y Guo, Y Gao, D Shen IEEE transactions on medical imaging 35 (4), 1077-1089, 2015 | 321 | 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 | 317 | 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 | 297 | 2015 |
| Large-scale screening of COVID-19 from community acquired pneumonia using infection size-aware classification F Shi, L Xia, F Shan, D Wu, Y Wei, H Yuan, H Jiang, Y Gao, H Sui, D Shen arXiv preprint arXiv:2003.09860, 2020 | 283 | 2020 |
| 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 | 265 | 2015 |
| Adaptive feature selection guided deep forest for COVID-19 classification with chest CT L Sun, Z Mo, F Yan, L Xia, F Shan, Z Ding, B Song, W Gao, W Shao, F Shi, ... IEEE Journal of Biomedical and Health Informatics 24 (10), 2798-2805, 2020 | 251 | 2020 |
| Representation learning: a unified deep learning framework for automatic prostate MR segmentation S Liao, Y Gao, A Oto, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 229 | 2013 |
| Detecting anatomical landmarks for fast Alzheimer’s disease diagnosis J Zhang, Y Gao, Y Gao, BC Munsell, D Shen IEEE transactions on medical imaging 35 (12), 2524-2533, 2016 | 216 | 2016 |
| Unsupervised deep feature learning for deformable registration of MR brain images G Wu, M Kim, Q Wang, Y Gao, S Liao, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 214 | 2013 |
| 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, 141-158, 2014 | 200 | 2014 |
| Alzheimer's disease diagnosis using landmark-based features from longitudinal structural MR images J Zhang, M Liu, L An, Y Gao, D Shen IEEE journal of biomedical and health informatics 21 (6), 1607-1616, 2017 | 187 | 2017 |
| Abnormal lung quantification in chest CT images of COVID‐19 patients with deep learning and its application to severity prediction F Shan, Y Gao, J Wang, W Shi, N Shi, M Han, Z Xue, D Shen, Y Shi Medical physics 48 (4), 1633-1645, 2021 | 182 | 2021 |
| Weakly supervised segmentation of COVID19 infection with scribble annotation on CT images X Liu, Q Yuan, Y Gao, K He, S Wang, X Tang, J Tang, D Shen Pattern recognition 122, 108341, 2022 | 156 | 2022 |
| Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification F Shi, L Xia, F Shan, B Song, D Wu, Y Wei, H Yuan, H Jiang, Y He, Y Gao, ... Physics in medicine & Biology 66 (6), 065031, 2021 | 139 | 2021 |