| Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation HR Roth, L Lu, N Lay, AP Harrison, A Farag, A Sohn, RM Summers Medical image analysis 45, 94-107, 2018 | 451 | 2018 |
| CT-realistic lung nodule simulation from 3D conditional generative adversarial networks for robust lung segmentation D Jin, Z Xu, Y Tang, AP Harrison, DJ Mollura Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 220 | 2018 |
| Deep lesion graphs in the wild: relationship learning and organization of significant radiology image findings in a diverse large-scale lesion database K Yan, X Wang, L Lu, L Zhang, AP Harrison, M Bagheri, RM Summers Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 185 | 2018 |
| Attention-guided curriculum learning for weakly supervised classification and localization of thoracic diseases on chest radiographs Y Tang, X Wang, AP Harrison, L Lu, J Xiao, RM Summers Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 170 | 2018 |
| Progressive and multi-path holistically nested neural networks for pathological lung segmentation from CT images AP Harrison, Z Xu, K George, L Lu, RM Summers, DJ Mollura International conference on medical image computing and computer-assisted …, 2017 | 161 | 2017 |
| Learning from multiple datasets with heterogeneous and partial labels for universal lesion detection in CT K Yan, J Cai, Y Zheng, AP Harrison, D Jin, Y Tang, Y Tang, L Huang, ... IEEE Transactions on Medical Imaging 40 (10), 2759-2770, 2020 | 87 | 2020 |
| 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 | 82 | 2020 |
| 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 | 78 | 2022 |
| 3D convolutional neural networks with graph refinement for airway segmentation using incomplete data labels D Jin, Z Xu, AP Harrison, K George, DJ Mollura Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 73 | 2017 |
| Accurate weakly-supervised deep lesion segmentation using large-scale clinical annotations: Slice-propagated 3d mask generation from 2d recist J Cai, Y Tang, L Lu, AP Harrison, K Yan, J Xiao, L Yang, RM Summers Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 72 | 2018 |
| DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy D Jin, D Guo, TY Ho, AP Harrison, J Xiao, C Tseng, L Lu Medical Image Analysis 68, 101909, 2021 | 68 | 2021 |
| Deep hierarchical multi-label classification of chest X-ray images H Chen, S Miao, D Xu, GD Hager, AP Harrison International Conference on Medical Imaging with Deep Learning, 109-120, 2019 | 64 | 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 | 64 | 2019 |
| Iterative attention mining for weakly supervised thoracic disease pattern localization in chest x-rays J Cai, L Lu, AP Harrison, X Shi, P Chen, L Yang Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 63 | 2018 |
| CT image enhancement using stacked generative adversarial networks and transfer learning for lesion segmentation improvement Y Tang, J Cai, L Lu, AP Harrison, K Yan, J Xiao, L Yang, RM Summers Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 56 | 2018 |
| Weakly supervised universal fracture detection in pelvic x-rays Y Wang, L Lu, CT Cheng, D Jin, AP Harrison, J Xiao, CH Liao, S Miao Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 47 | 2019 |
| Pathological pulmonary lobe segmentation from CT images using progressive holistically nested neural networks and random walker K George, AP Harrison, D Jin, Z Xu, DJ Mollura International Workshop on Deep Learning in Medical Image Analysis, 195-203, 2017 | 44 | 2017 |
| Semi-automatic RECIST labeling on CT scans with cascaded convolutional neural networks Y Tang, AP Harrison, M Bagheri, J Xiao, RM Summers Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 40 | 2018 |
| Deep implicit statistical shape models for 3d medical image delineation A Raju, S Miao, D Jin, L Lu, J Huang, AP Harrison Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 2135-2143, 2022 | 38 | 2022 |
| Deep lesion tracker: Monitoring lesions in 4d longitudinal imaging studies J Cai, Y Tang, K Yan, AP Harrison, J Xiao, G Lin, L Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 38 | 2021 |
Le LuAlibaba DAMO Academy, IEEE Fellow, MICCAI Board Member (2021-2024)Vahvistettu sähköpostiosoite verkkotunnuksessa alibaba-inc.com
