| Damage to the anterior arcuate fasciculus predicts non-fluent speech production in aphasia J Fridriksson, D Guo, P Fillmore, A Holland, C Rorden Brain 136 (11), 3451-3460, 2013 | 197 | 2013 |
| Lvit: language meets vision transformer in medical image segmentation Z Li, Y Li, Q Li, P Wang, D Guo, L Lu, D Jin, Y Zhang, Q Hong IEEE transactions on medical imaging 43 (1), 96-107, 2023 | 174 | 2023 |
| Chronic Broca's aphasia is caused by damage to Broca's and Wernicke's areas J Fridriksson, P Fillmore, D Guo, C Rorden Cerebral Cortex 25 (12), 4689-4696, 2014 | 161 | 2014 |
| Regional white matter damage predicts speech fluency in chronic post-stroke aphasia A Basilakos, PT Fillmore, C Rorden, D Guo, L Bonilha, J Fridriksson Frontiers in human neuroscience 8, 845, 2014 | 130 | 2014 |
| SAM: Self-supervised learning of pixel-wise anatomical embeddings in radiological images K Yan, J Cai, D Jin, S Miao, D Guo, AP Harrison, Y Tang, J Xiao, J Lu, ... IEEE Transactions on Medical Imaging 41 (10), 2658-2669, 2022 | 101 | 2022 |
| Organ at risk segmentation for head and neck cancer using stratified learning and neural architecture search D Guo, D Jin, Z Zhu, TY Ho, AP Harrison, CH Chao, J Xiao, L Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 84 | 2020 |
| DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy D Jin, D Guo, TY Ho, AP Harrison, J Xiao, CK Tseng, L Lu Medical Image Analysis 68, 101909, 2021 | 72 | 2021 |
| Degraded image semantic segmentation with dense-gram networks D Guo, Y Pei, K Zheng, H Yu, Y Lu, S Wang IEEE Transactions on Image Processing 29, 782-795, 2019 | 72 | 2019 |
| Accurate esophageal gross tumor volume segmentation in PET/CT using two-stream chained 3D deep network fusion D Jin, D Guo, TY Ho, AP Harrison, J Xiao, CK Tseng, L Lu Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 68 | 2019 |
| Multi-site, multi-domain airway tree modeling M Zhang, Y Wu, H Zhang, Y Qin, H Zheng, W Tang, C Arnold, C Pei, P Yu, ... Medical image analysis 90, 102957, 2023 | 55 | 2023 |
| Automated lesion detection on MRI scans using combined unsupervised and supervised methods D Guo, J Fridriksson, P Fillmore, C Rorden, H Yu, K Zheng, S Wang BMC medical imaging 15, 1-21, 2015 | 55 | 2015 |
| Small Object Sensitive Segmentation of Urban Street Scene with Spatial Adjacency Between Object Classes D Guo, L Zhu, Y Lu, H Yu, S Wang IEEE Transactions on Image Processing, 2018 | 50 | 2018 |
| Lymph node gross tumor volume detection in oncology imaging via relationship learning using graph neural network CH Chao, Z Zhu, D Guo, K Yan, TY Ho, J Cai, AP Harrison, X Ye, J Xiao, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 35 | 2020 |
| Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional study X Ye, D Guo, J Ge, S Yan, Y Xin, Y Song, Y Yan, B Huang, TM Hung, ... Nature communications 13 (1), 6137, 2022 | 34 | 2022 |
| SAME: Deformable image registration based on self-supervised anatomical embeddings F Liu, K Yan, AP Harrison, D Guo, L Lu, AL Yuille, L Huang, G Xie, J Xiao, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 31 | 2021 |
| Lymph node gross tumor volume detection and segmentation via distance-based gating using 3D CT/PET imaging in radiotherapy Z Zhu, D Jin, K Yan, TY Ho, X Ye, D Guo, CH Chao, J Xiao, A Yuille, L Lu International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 29 | 2020 |
| System and method for large-scale lane marking detection using multimodal sensor data X Mei, X Hou, GUO Dazhou, WEI Yujie US Patent 10,657,390, 2020 | 28 | 2020 |
| Learning view-invariant features for person identification in temporally synchronized videos taken by wearable cameras K Zheng, X Fan, Y Lin, H Guo, H Yu, D Guo, S Wang Proceedings of the IEEE International Conference on Computer Vision, 2858-2866, 2017 | 27 | 2017 |
| Deep esophageal clinical target volume delineation using encoded 3D spatial context of tumors, lymph nodes, and organs at risk D Jin, D Guo, TY Ho, AP Harrison, J Xiao, C Tseng, L Lu Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 26 | 2019 |
| Deepstationing: thoracic lymph node station parsing in ct scans using anatomical context encoding and key organ auto-search D Guo, X Ye, J Ge, X Di, L Lu, L Huang, G Xie, J Xiao, Z Lu, L Peng, S Yan, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 23 | 2021 |
Dakai JinAlibaba DAMO Academy USAVerified email at alibaba-inc.com
