| Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for covid-19 F Shi#, J Wang#, J Shi#, Z Wu, Q Wang, Z Tang, K He, Y Shi, D Shen* IEEE Reviews in Biomedical Engineering, 2020 | 1603 | 2020 |
| Transformers in medical image analysis K He#, C Gan#, Z Li#, I Rekik#, Z Yin, W Ji, Y Gao, Q Wang*, J Zhang*, ... Intelligent Medicine 3 (01), 59-78, 2023 | 357 | 2023 |
| 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 |
| Cross-level feature aggregation network for polyp segmentation T Zhou, Y Zhou, K He, C Gong, J Yang, H Fu, D Shen Pattern Recognition 140, 109555, 2023 | 141 | 2023 |
| Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images K He#, W Zhao#, X Xie, W Ji, M Liu, Z Tang, Y Shi, F Shi, Y Gao, J Liu*, ... Pattern Recognition 113, 107828, 2021 | 114 | 2021 |
| CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation S Wang#, K He#, D Nie, S Zhou, Y Gao, D Shen* Medical Image Analysis 54, 168-178, 2019 | 108 | 2019 |
| Pelvic organ segmentation using distinctive curve guided fully convolutional networks K He, X Cao, Y Shi, D Nie, Y Gao*, D Shen* IEEE Transactions on Medical Imaging 38 (2), 585-595, 2018 | 106 | 2018 |
| HF-UNet: learning hierarchically inter-task relevance in multi-task U-net for accurate prostate segmentation in CT images K He, C Lian, B Zhang, X Zhang, X Cao, D Nie, Y Gao, J Zhang*, D Shen* IEEE Transactions on Medical Imaging 40 (8), 2118-2128, 2021 | 85 | 2021 |
| Deep learning-based classification and voxel-based visualization of frontotemporal dementia and Alzheimer’s disease J Hu#, Z Qing#, R Liu, X Zhang, P Lv, M Wang, Y Wang, K He*, Y Gao, ... Frontiers in Neuroscience 14, 2020 | 65 | 2020 |
| Cascaded multitask 3-D fully convolutional networks for pancreas segmentation J Xue, K He, D Nie, E Adeli, Z Shi, SW Lee, Y Zheng, X Liu, D Li, D Shen IEEE Transactions on Cybernetics 51 (4), 2153-2165, 2019 | 59 | 2019 |
| Calcium scoring at coronary CT angiography using deep learning D Mu, J Bai, W Chen, H Yu, J Liang, K Yin, H Li, Z Qing, K He, HY Yang, ... Radiology 302 (2), 309-316, 2022 | 51 | 2022 |
| Automatic data augmentation via deep reinforcement learning for effective kidney tumor segmentation T Qin, Z Wang, K He, Y Shi, Y Gao, D Shen ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 39 | 2020 |
| Evaluation of PET/MRI for tumor volume delineation for head and neck cancer K Wang, BT Mullins, AD Falchook, J Lian, K He, D Shen, M Dance, W Lin, ... Frontiers in Oncology 7, 8, 2017 | 29 | 2017 |
| MetricUNet: Synergistic image-and voxel-level learning for precise prostate segmentation via online sampling K He, C Lian, E Adeli, J Huo, Y Gao, B Zhang, J Zhang*, D Shen* Medical image analysis 71, 102039, 2021 | 28 | 2021 |
| Deep learning–based tumour segmentation and total metabolic tumour volume prediction in the prognosis of diffuse large B-cell lymphoma patients in 3D FDG-PET images C Jiang#, K Chen#, Y Teng, C Ding, Z Zhou, Y Gao, J Wu, J He*, K He*, ... European Radiology, 1-12, 2022 | 27 | 2022 |
| Multi-scale transformer network with edge-aware pre-training for cross-modality MR image synthesis Y Li, T Zhou, K He, Y Zhou, D Shen IEEE Transactions on Medical Imaging 42 (11), 3395-3407, 2023 | 23 | 2023 |
| Classification of Neurofibromatosis‐related Dystrophic or Nondystrophic Scoliosis Based on Image‐Features using Bilateral CNN Z He, Y Wang, X Qin, R Yin, Y Qiu, K He*, Z Zhu* Medical Physics, 2021 | 18 | 2021 |
| Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation K He, W Ji, T Zhou, Z Li, J Huo, X Zhang, Y Gao, D Shen, B Zhang*, ... arXiv preprint arXiv:2105.07715, 2021 | 10 | 2021 |
| Decreased cortical thickness and normal regional homogeneity underlying cognitive impairment in cerebral small vessel disease Y Mo, L Huang, R Qin, K He, Z Ke, Z Hu, C Mao, B Xu, R Qi, X Zhu, Q Ye Adv Neuro 1 (1), 48, 2022 | 8 | 2022 |
| Midcn: A multiple instance deep convolutional network for image classification K He, J Huo, Y Shi, Y Gao, D Shen PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 8 | 2019 |