Adaptive pyramid context network for semantic segmentation J He, Z Deng, L Zhou, Y Wang, Y Qiao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 436 | 2019 |
Dynamic multi-scale filters for semantic segmentation J He, Z Deng, Y Qiao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 331 | 2019 |
Sam-med2d J Cheng, J Ye, Z Deng, J Chen, T Li, H Wang, Y Su, Z Huang, J Chen, ... arXiv preprint arXiv:2308.16184, 2023 | 174 | 2023 |
Stu-net: Scalable and transferable medical image segmentation models empowered by large-scale supervised pre-training Z Huang, H Wang, Z Deng, J Ye, Y Su, H Sun, J He, Y Gu, L Gu, S Zhang, ... arXiv preprint arXiv:2304.06716, 2023 | 83* | 2023 |
Mutual component convolutional neural networks for heterogeneous face recognition Z Deng, X Peng, Z Li, Y Qiao IEEE Transactions on Image Processing 28 (6), 3102-3114, 2019 | 69 | 2019 |
Revisiting nnu-net for iterative pseudo labeling and efficient sliding window inference Z Huang, H Wang, J Ye, J Niu, C Tu, Y Yang, S Du, Z Deng, L Gu, J He MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ …, 2022 | 59 | 2022 |
Learning discriminative representation for facial expression recognition from uncertainties X Fan, Z Deng, K Wang, X Peng, Y Qiao 2020 IEEE International Conference on image processing (ICIP), 903-907, 2020 | 50 | 2020 |
Residual compensation networks for heterogeneous face recognition Z Deng, X Peng, Y Qiao Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8239-8246, 2019 | 45 | 2019 |
Sam-med3d: towards general-purpose segmentation models for volumetric medical images H Wang, S Guo, J Ye, Z Deng, J Cheng, T Li, J Chen, Y Su, Z Huang, ... arXiv preprint arXiv:2310.15161, 2023 | 37* | 2023 |
Dynamic instance domain adaptation Z Deng, K Zhou, D Li, J He, YZ Song, T Xiang IEEE Transactions on Image Processing 31, 4585-4597, 2022 | 36 | 2022 |
Sa-med2d-20m dataset: Segment anything in 2d medical imaging with 20 million masks J Ye, J Cheng, J Chen, Z Deng, T Li, H Wang, Y Su, Z Huang, J Chen, ... arXiv preprint arXiv:2311.11969, 2023 | 29 | 2023 |
Gmai-mmbench: A comprehensive multimodal evaluation benchmark towards general medical ai J Ye, G Wang, Y Li, Z Deng, W Li, T Li, H Duan, Z Huang, Y Su, B Wang, ... Advances in Neural Information Processing Systems 37, 94327-94427, 2025 | 20* | 2025 |
Domain attention consistency for multi-source domain adaptation Z Deng, K Zhou, Y Yang, T Xiang arXiv preprint arXiv:2111.03911, 2021 | 20 | 2021 |
Exploring vanilla u-net for lesion segmentation from whole-body fdg-pet/ct scans J Ye, H Wang, Z Huang, Z Deng, Y Su, C Tu, Q Wu, Y Yang, M Wei, J Niu, ... arXiv preprint arXiv:2210.07490, 2022 | 13* | 2022 |
Hamlet: Graph transformer neural operator for partial differential equations A Bryutkin, J Huang, Z Deng, G Yang, CB Schönlieb, A Aviles-Rivero arXiv preprint arXiv:2402.03541, 2024 | 8 | 2024 |
Robust target training for multi-source domain adaptation Z Deng, D Li, YZ Song, T Xiang arXiv preprint arXiv:2210.01676, 2022 | 6 | 2022 |
TrafficCAM: A versatile dataset for traffic flow segmentation Z Deng, Y Cheng, L Liu, S Wang, R Ke, CB Schönlieb, AI Aviles-Rivero IEEE Transactions on Intelligent Transportation Systems, 2024 | 5 | 2024 |
Self pre-training with single-scale adapter for left atrial segmentation C Tu, Z Huang, Z Deng, Y Yang, C Ma, J He, J Ye, H Wang, X Ding Challenge on Left Atrial and Scar Quantification and Segmentation, 24-35, 2022 | 5 | 2022 |
A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation Z Huang, Z Deng, J Ye, H Wang, Y Su, T Li, H Sun, J Cheng, J Chen, J He, ... Medical Image Analysis, 103499, 2025 | 4* | 2025 |
FCN+: Global receptive convolution makes fcn great again X Ren, Z Deng, J Ye, J He, D Yang Neurocomputing, 129655, 2025 | 3 | 2025 |