| 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 | 965 | 2021 |
| Swin-unet: Unet-like pure transformer for medical image segmentation H Cao, Y Wang, J Chen, D Jiang, X Zhang, Q Tian, M Wang Proceedings of the European Conference on Computer Vision Workshops (ECCVW), 2021 | 459 | 2021 |
| Semi-supervised medical image segmentation through dual-task consistency X Luo, J Chen, T Song, Y Chen, G Wang, S Zhang AAAI Conference on Artificial Intelligence (AAAI), 2021 | 141 | 2021 |
| TransFG: A Transformer Architecture for Fine-grained Recognition J He, JN Chen, S Liu, A Kortylewski, C Yang, Y Bai, C Wang, A Yuille AAAI Conference on Artificial Intelligence (AAAI), 2022 | 116 | 2022 |
| Efficient semi-supervised gross target volume of nasopharyngeal carcinoma segmentation via uncertainty rectified pyramid consistency X Luo, W Liao, J Chen, T Song, Y Chen, S Zhang, N Chen, G Wang, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 78* | 2021 |
| 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 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 49 | 2020 |
| CPM-Net: A 3D center-points matching network for pulmonary nodule detection in CT scans T Song, J Chen, X Luo, Y Huang, X Liu, N Huang, Y Chen, Z Ye, H Sheng, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 35* | 2020 |
| Spectr: Spectral transformer for hyperspectral pathology image segmentation B Yun, Y Wang, J Chen, H Wang, W Shen, Q Li JBHI, 2021 | 23 | 2021 |
| TransMix: Attend to Mix for Vision Transformers JN Chen, S Sun, J He, P Torr, A Yuille, S Bai IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 20 | 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 (ECCV), 2022 | 13 | 2022 |
| FLGR: Fixed Length Gists Representation Learning for RNN-HMM Hybrid-Based Neuromorphic Continuous Gesture Recognition G Chen, J Chen, M Lienen, J Conradt, F Roehrbein, AC Knoll Frontiers in Neuroscience, 2019 | 11 | 2019 |
| Fully Test-Time Adaptation for Image Segmentation M Hu, T Song, Y Gu, X Luo, J Chen, Y Chen, Y Zhang, S Zhang Medical Image Computing and Computer Assisted Intervention (MICCAI), 251-260, 2021 | 7 | 2021 |
| MT-TransUNet: Mediating multi-task tokens in transformers for skin lesion segmentation and classification J Chen, J Chen, Z Zhou, B Li, A Yuille, Y Lu arXiv preprint arXiv:2112.01767, 2021 | 6 | 2021 |
| WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image X Luo, W Liao, J Xiao, J Chen, T Song, X Zhang, K Li, DN Metaxas, ... Medical Image Analysis 82, 102642, 2022 | 4 | 2022 |
| Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining J Chen, K Yan, YD Zhang, Y Tang, X Xu, S Sun, Q Liu, L Huang, J Xiao, ... Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021 | 4 | 2021 |
| Artificial intelligence-based analysis for immunohistochemistry staining of immune checkpoints to predict resected non-small cell lung cancer survival and relapse H Guo, L Diao, X Zhou, JN Chen, Y Zhou, Q Fang, Y He, R Dziadziuszko, ... Translational Lung Cancer Research 10 (6), 2452, 2021 | 4 | 2021 |
| The FELIX Project: Deep Networks To Detect Pancreatic Neoplasms Y Xia, Q Yu, L Chu, S Kawamoto, S Park, F Liu, J Chen, Z Zhu, B Li, ... medRxiv, 2022.09. 24.22280071, 2022 | 1 | 2022 |
| CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection J Liu, Y Zhang, JN Chen, J Xiao, Y Lu, BA Landman, Y Yuan, A Yuille, ... arXiv preprint arXiv:2301.00785, 2023 | | 2023 |
| LUMix: Improving Mixup by Better Modelling Label Uncertainty S Sun, JN Chen, R He, A Yuille, P Torr, S Bai arXiv preprint arXiv:2211.15846, 2022 | | 2022 |
| LiSNet: An artificial intelligencebased tool for liver imaging staging of hepatocellular carcinoma aggressiveness SW Sun, X Xu, QP Liu, JN Chen, FP Zhu, XS Liu, YD Zhang, J Wang Medical Physics, 2022 | | 2022 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
