| Transunet: Transformers make strong encoders for medical image segmentation J Chen, Y Lu, Q Yu, X Luo, E Adeli, Y Wang, L Lu, AL Yuille, Y Zhou arXiv preprint arXiv:2102.04306, 2021 | 4824 | 2021 |
| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022 | 1000 | 2022 |
| Deepcontour: A deep convolutional feature learned by positive-sharing loss for contour detection W Shen, X Wang, Y Wang, X Bai, Z Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 703 | 2015 |
| A fixed-point model for pancreas segmentation in abdominal CT scans Y Zhou, L Xie, W Shen, Y Wang, EK Fishman, AL Yuille International conference on medical image computing and computer-assisted …, 2017 | 365 | 2017 |
| Recurrent saliency transformation network: Incorporating multi-stage visual cues for small organ segmentation Q Yu, L Xie, Y Wang, Y Zhou, EK Fishman, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 272 | 2018 |
| Intriguing findings of frequency selection for image deblurring X Mao, Y Liu, F Liu, Q Li, W Shen, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1905-1913, 2023 | 270* | 2023 |
| Abdominal multi-organ segmentation with organ-attention networks and statistical fusion Y Wang, Y Zhou, W Shen, S Park, EK Fishman, AL Yuille Medical image analysis 55, 88-102, 2019 | 230 | 2019 |
| Deep regression forests for age estimation W Shen, Y Guo, Y Wang, K Zhao, B Wang, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 200 | 2018 |
| Semi-supervised 3D abdominal multi-organ segmentation via deep multi-planar co-training Y Zhou, Y Wang, P Tang, S Bai, W Shen, E Fishman, A Yuille 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 121-140, 2019 | 176 | 2019 |
| Domain adaptive relational reasoning for 3d multi-organ segmentation S Fu, Y Lu, Y Wang, Y Zhou, W Shen, E Fishman, A Yuille Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 170 | 2020 |
| Bidirectional copy-paste for semi-supervised medical image segmentation Y Bai, D Chen, Q Li, W Shen, Y Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 153 | 2023 |
| Object skeleton extraction in natural images by fusing scale-associated deep side outputs W Shen, K Zhao, Y Jiang, Y Wang, Z Zhang, X Bai Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 127 | 2016 |
| Deep distance transform for tubular structure segmentation in ct scans Y Wang, X Wei, F Liu, J Chen, Y Zhou, W Shen, EK Fishman, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 126 | 2020 |
| Emotionet challenge: Recognition of facial expressions of emotion in the wild CF Benitez-Quiroz, R Srinivasan, Q Feng, Y Wang, AM Martinez arXiv preprint arXiv:1703.01210, 2017 | 112 | 2017 |
| Deepskeleton: Learning multi-task scale-associated deep side outputs for object skeleton extraction in natural images W Shen, K Zhao, Y Jiang, Y Wang, X Bai, A Yuille IEEE Transactions on Image Processing 26 (11), 5298-5311, 2017 | 108 | 2017 |
| Identification of melanoma from hyperspectral pathology image using 3D convolutional networks Q Wang, L Sun, Y Wang, M Zhou, M Hu, J Chen, Y Wen, Q Li IEEE Transactions on Medical Imaging 40 (1), 218-227, 2020 | 95 | 2020 |
| Deep differentiable random forests for age estimation W Shen, Y Guo, Y Wang, K Zhao, B Wang, A Yuille IEEE transactions on pattern analysis and machine intelligence 43 (2), 404-419, 2019 | 80 | 2019 |
| Multi-stage multi-recursive-input fully convolutional networks for neuronal boundary detection W Shen, B Wang, Y Jiang, Y Wang, A Yuille Proceedings of the IEEE international conference on computer vision, 2391-2400, 2017 | 76 | 2017 |
| Spectr: Spectral transformer for microscopic hyperspectral pathology image segmentation B Yun, B Lei, J Chen, H Wang, S Qiu, W Shen, Q Li, Y Wang IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 75* | 2023 |
| Recurrent saliency transformation network for tiny target segmentation in abdominal CT scans L Xie, Q Yu, Y Zhou, Y Wang, EK Fishman, AL Yuille IEEE transactions on medical imaging 39 (2), 514-525, 2019 | 69 | 2019 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
