| 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 | 4764 | 2021 |
| When radiology report generation meets knowledge graph Y Zhang, X Wang, Z Xu, Q Yu, A Yuille, D Xu Proceedings of the AAAI conference on artificial intelligence 34 (07), 12910 …, 2020 | 303 | 2020 |
| 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 |
| C2fnas: Coarse-to-fine neural architecture search for 3d medical image segmentation Q Yu, D Yang, H Roth, Y Bai, Y Zhang, AL Yuille, D Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 168 | 2020 |
| Mask guided matting via progressive refinement network Q Yu, J Zhang, H Zhang, Y Wang, Z Lin, N Xu, Y Bai, A Yuille Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 132 | 2021 |
| Shape-texture debiased neural network training Y Li, Q Yu, M Tan, J Mei, P Tang, W Shen, A Yuille, C Xie arXiv preprint arXiv:2010.05981 2, 2020 | 126 | 2020 |
| Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip Q Yu, J He, X Deng, X Shen, LC Chen Advances in Neural Information Processing Systems 36, 32215-32234, 2023 | 104 | 2023 |
| Cmt-deeplab: Clustering mask transformers for panoptic segmentation Q Yu, H Wang, D Kim, S Qiao, M Collins, Y Zhu, H Adam, A Yuille, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 97 | 2022 |
| Partimagenet: A large, high-quality dataset of parts J He, S Yang, S Yang, A Kortylewski, X Yuan, JN Chen, S Liu, C Yang, ... European Conference on Computer Vision, 128-145, 2022 | 96 | 2022 |
| Application of deep learning to pancreatic cancer detection: lessons learned from our initial experience LC Chu, S Park, S Kawamoto, Y Wang, Y Zhou, W Shen, Z Zhu, Y Xia, ... Journal of the American College of Radiology 16 (9), 1338-1342, 2019 | 83 | 2019 |
| Glance-and-gaze vision transformer Q Yu, Y Xia, Y Bai, Y Lu, AL Yuille, W Shen Advances in Neural Information Processing Systems 34, 12992-13003, 2021 | 80 | 2021 |
| Neural architecture search for lightweight non-local networks Y Li, X Jin, J Mei, X Lian, L Yang, C Xie, Q Yu, Y Zhou, S Bai, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 69 | 2020 |
| 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 |
| Deeplab2: A tensorflow library for deep labeling M Weber, H Wang, S Qiao, J Xie, MD Collins, Y Zhu, L Yuan, D Kim, Q Yu, ... arXiv preprint arXiv:2106.09748, 2021 | 63 | 2021 |
| Moat: Alternating mobile convolution and attention brings strong vision models C Yang, S Qiao, Q Yu, X Yuan, Y Zhu, A Yuille, H Adam, LC Chen The Eleventh International Conference on Learning Representations, 2022 | 62 | 2022 |
| Thickened 2D networks for efficient 3D medical image segmentation Q Yu, Y Xia, L Xie, EK Fishman, AL Yuille arXiv preprint arXiv:1904.01150, 2019 | 52 | 2019 |
| k-means Mask Transformer Q Yu, H Wang, S Qiao, M Collins, Y Zhu, H Adam, A Yuille, LC Chen European Conference on Computer Vision, 288-307, 2022 | 51 | 2022 |
| Tubeformer-deeplab: Video mask transformer D Kim, J Xie, H Wang, S Qiao, Q Yu, HS Kim, H Adam, IS Kweon, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 48 | 2022 |
| TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers J Chen, J Mei, X Li, Y Lu, Q Yu, Q Wei, X Luo, Y Xie, E Adeli, Y Wang, ... Medical Image Analysis 97, 103280, 2024 | 46 | 2024 |
| Can temporal information help with contrastive self-supervised learning? Y Bai, H Fan, I Misra, G Venkatesh, Y Lu, Y Zhou, Q Yu, V Chandra, ... arXiv preprint arXiv:2011.13046, 2020 | 46 | 2020 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityBestätigte E-Mail-Adresse bei jhu.edu
