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Zengqiang Yan
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Publications
- 2024
- [j19]Junjie Shi, Li Yu, Qimin Cheng, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan:
MFTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 28(1): 379-390 (2024) - [c9]Zhehao Wang, Xian Lin, Nannan Wu, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation. AAAI 2024: 5814-5822 - [c8]Nannan Wu, Zhaobin Sun, Zengqiang Yan, Li Yu:
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise. AAAI 2024: 15943-15951 - 2023
- [j18]Ziqiao Shang, Congju Du, Bingyin Li, Zengqiang Yan, Li Yu:
MMA-Net: Multi-view mixed attention mechanism for facial action unit detection. Pattern Recognit. Lett. 172: 165-171 (2023) - [j17]Congju Du, Zengqiang Yan, Han Yu, Li Yu, Zixiang Xiong:
Hierarchical Associative Encoding and Decoding for Bottom-Up Human Pose Estimation. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1762-1775 (2023) - [j16]Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(7): 3501-3512 (2023) - [j15]Tianyi Shi, Xiaohuan Ding, Wei Zhou, Feng Pan, Zengqiang Yan, Xiang Bai, Xin Yang:
Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation. IEEE J. Biomed. Health Informatics 27(8): 4006-4017 (2023) - [j14]Zhuo Kuang, Zengqiang Yan, Huiyu Zhou, Li Yu:
Cluster-Re-Supervision: Bridging the Gap Between Image-Level and Pixel-Wise Labels for Weakly Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(10): 4890-4901 (2023) - [j13]Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, Kwang-Ting Cheng:
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging 42(7): 1955-1968 (2023) - [j12]Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
The Lighter the Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning. IEEE Trans. Medical Imaging 42(8): 2325-2337 (2023) - [c7]Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan:
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. IJCAI 2023: 4424-4432 - [c6]Xian Lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu:
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation. MICCAI (4) 2023: 642-651 - [c5]Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan:
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification. MICCAI (2) 2023: 692-702 - [i12]Jeffry Wicaksana, Zengqiang Yan, Kwang-Ting Cheng:
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring. CoRR abs/2305.00738 (2023) - [i11]Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan:
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. CoRR abs/2305.05230 (2023) - [i10]Xian Lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu:
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation. CoRR abs/2309.05674 (2023) - [i9]Xian Lin, Yangyang Xiang, Li Zhang, Xin Yang, Zengqiang Yan, Li Yu:
SAMUS: Adapting Segment Anything Model for Clinically-Friendly and Generalizable Ultrasound Image Segmentation. CoRR abs/2309.06824 (2023) - [i8]Nannan Wu, Zhaobin Sun, Zengqiang Yan, Li Yu:
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation Against Heterogeneous Annotation Noise. CoRR abs/2312.12838 (2023) - 2022
- [j11]Zhuo Kuang, Zengqiang Yan, Li Yu, Xianbo Deng, Yineng Hua, Shuyun Li:
Uncertainty-Aware Deep Learning With Cross-Task Supervision for PHE Segmentation on CT Images. IEEE J. Biomed. Health Informatics 26(6): 2615-2626 (2022) - [j10]Yineng Hua, Zengqiang Yan, Zhuo Kuang, Hang Zhang, Xianbo Deng, Li Yu:
Symmetry-Aware Deep Learning for Cerebral Ventricle Segmentation With Intra-Ventricular Hemorrhage. IEEE J. Biomed. Health Informatics 26(10): 5165-5176 (2022) - [j9]Jeffry Wicaksana, Zengqiang Yan, Xin Yang, Yang Liu, Lixin Fan, Kwang-Ting Cheng:
Customized Federated Learning for Multi-Source Decentralized Medical Image Classification. IEEE J. Biomed. Health Informatics 26(11): 5596-5607 (2022) - [i7]Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, Kwang-Ting Cheng:
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation. CoRR abs/2205.01840 (2022) - [i6]Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan:
FedRare: Federated Learning with Intra- and Inter-Client Contrast for Effective Rare Disease Classification. CoRR abs/2206.13803 (2022) - [i5]Xian Lin, Zengqiang Yan, Li Yu, Kwang-Ting Cheng:
C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation. CoRR abs/2206.14409 (2022) - [i4]Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning. CoRR abs/2206.14413 (2022) - [i3]Tianyi Shi, Xiaohuan Ding, Wei Zhou, Feng Pan, Zengqiang Yan, Xiang Bai, Xin Yang:
Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation. CoRR abs/2211.06578 (2022) - 2021
- [j8]Zengqiang Yan, Jeffry Wicaksana, Zhiwei Wang, Xin Yang, Kwang-Ting Cheng:
Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data. IEEE J. Biomed. Health Informatics 25(7): 2615-2628 (2021) - [c4]Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng:
Exploring intermediate representation for monocular vehicle pose estimation. CVPR 2021: 1873-1883 - 2020
- [j7]Zengqiang Yan, Xin Yang, Kwang-Ting Cheng:
Enabling a Single Deep Learning Model for Accurate Gland Instance Segmentation: A Shape-Aware Adversarial Learning Framework. IEEE Trans. Medical Imaging 39(6): 2176-2189 (2020) - [i2]Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng:
Exploring Intermediate Representation for Monocular Vehicle Pose Estimation. CoRR abs/2011.08464 (2020) - 2019
- [j6]Zengqiang Yan, Xin Yang, Kwang-Ting Cheng:
A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation. IEEE J. Biomed. Health Informatics 23(4): 1427-1436 (2019) - 2018
- [j4]Zengqiang Yan, Xin Yang, Kwang-Ting Cheng:
Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation. IEEE Trans. Biomed. Eng. 65(9): 1912-1923 (2018) - [j3]Zengqiang Yan, Xin Yang, Kwang-Ting Cheng:
A Skeletal Similarity Metric for Quality Evaluation of Retinal Vessel Segmentation. IEEE Trans. Medical Imaging 37(4): 1045-1057 (2018) - [c3]Zengqiang Yan, Xin Yang, Kwang-Ting (Tim) Cheng:
A Deep Model with Shape-Preserving Loss for Gland Instance Segmentation. MICCAI (2) 2018: 138-146 - 2017
- [j2]Huiping Deng, Jin Wu, Lei Zhu, Zengqiang Yan, Li Yu:
Texture edge-guided depth recovery for structured light-based depth sensor. Multim. Tools Appl. 76(3): 4211-4226 (2017) - [j1]Changjian Zhu, Li Yu, Zengqiang Yan, Sen Xiang:
Frequency Estimation of the Plenoptic Function Using the Autocorrelation Theorem. IEEE Trans. Computational Imaging 3(4): 966-981 (2017) - 2015
- [c2]Zengqiang Yan, Li Yu, Zixiang Xiong:
Large-area depth recovery for RGB-D camera. ICIP 2015: 1409-1413 - [c1]Zengqiang Yan, Li Yu, Zixiang Xiong:
Texture-free large-area depth recovery for planar surfaces. MMSP 2015: 1-6
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last updated on 2024-03-28 20:10 CET by the dblp team
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