| Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging P Tang, Q Liang, X Yan, S Xiang, W Sun, D Zhang, G Coppola Computer methods and programs in biomedicine 178, 289-301, 2019 | 148 | 2019 |
| GP-CNN-DTEL: Global-part CNN model with data-transformed ensemble learning for skin lesion classification P Tang, Q Liang, X Yan, S Xiang, D Zhang IEEE journal of biomedical and health informatics 24 (10), 2870-2882, 2020 | 105 | 2020 |
| FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification P Tang, X Yan, Y Nan, S Xiang, S Krammer, T Lasser Medical Image Analysis 76, 102307, 2022 | 52 | 2022 |
| Multi-proportion channel ensemble model for retinal vessel segmentation P Tang, Q Liang, X Yan, D Zhang, G Coppola, W Sun Computers in biology and medicine 111, 103352, 2019 | 35 | 2019 |
| AFLN-DGCL: Adaptive feature learning network with difficulty-guided curriculum learning for skin lesion segmentation P Tang, X Yan, Q Liang, D Zhang Applied Soft Computing 110, 107656, 2021 | 28 | 2021 |
| Feature Pyramid Nonlocal Network With Transform Modal Ensemble Learning for Breast Tumor Segmentation in Ultrasound Images P Tang, X Yan, Y Nan, S Xiang, Q Liang IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2021 | 24 | 2021 |
| Dual-task semantic change detection for remote sensing images using the generative change field module S Xiang, M Wang, X Jiang, G Xie, Z Zhang, P Tang Remote Sensing 13 (16), 3336, 2021 | 23 | 2021 |
| Fuzzy attention neural network to tackle discontinuity in airway segmentation Y Nan, J Del Ser, Z Tang, P Tang, X Xing, Y Fang, F Herrera, W Pedrycz, ... IEEE Transactions on Neural Networks and Learning Systems, 2023 | 13 | 2023 |
| AMC-Net: Asymmetric and multi-scale convolutional neural network for multi-label HPA classification S Xiang, Q Liang, Y Hu, P Tang, G Coppola, D Zhang, W Sun Computer methods and programs in biomedicine 178, 275-287, 2019 | 9 | 2019 |
| Automatic fine-grained glomerular lesion recognition in kidney pathology Y Nan, F Li, P Tang, G Zhang, C Zeng, G Xie, Z Liu, G Yang Pattern Recognition 127, 108648, 2022 | 8 | 2022 |
| Unsupervised tissue segmentation via deep constrained gaussian network Y Nan, P Tang, G Zhang, C Zeng, Z Liu, Z Gao, H Zhang, G Yang IEEE Transactions on Medical Imaging 41 (12), 3799-3811, 2022 | 6 | 2022 |
| Deep learning‐based classification of dermatological lesions given a limited amount of labelled data S Krammer, Y Li, N Jakob, AS Boehm, H Wolff, P Tang, T Lasser, ... Journal of the European Academy of Dermatology and Venereology 36 (12), 2516 …, 2022 | 4 | 2022 |
| Task-oriented compression framework for remote sensing satellite data transmission S Xiang, Q Liang, P Tang IEEE Transactions on Industrial Informatics, 2023 | 3 | 2023 |
| Cloud Coverage Estimation Network for Remote Sensing Images S Xiang, M Wang, J Xiao, G Xie, Z Zhang, P Tang IEEE Geoscience and Remote Sensing Letters, 2023 | 1 | 2023 |
| Dual-Pathway Change Detection Network Based on the Adaptive Fusion Module X Jiang, S Xiang, M Wang, P Tang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 1 | 2021 |
| Single-Shared Network with Prior-Inspired Loss for Parameter-Efficient Multi-Modal Imaging Skin Lesion Classification P Tang, T Lasser arXiv preprint arXiv:2403.19203, 2024 | | 2024 |
| Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring P Tang, Z Xu, C Zhou, P Wei, P Han, X Cao, T Lasser Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5145-5153, 2024 | | 2024 |
| Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification P Tang, X Yan, Y Nan, X Hu, BHM Krammer, T Lasser arXiv preprint arXiv:2312.04189, 2023 | | 2023 |
| SR-RKAC: Improving Single Image Defocus Deblurring P Tang, Z Xu, P Wei, X Hu, P Zhao, X Cao, C Zhou, T Lasser arXiv preprint arXiv:2307.16242, 2023 | | 2023 |
| Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images P Tang, Y Nan, T Lasser arXiv preprint arXiv:2307.01704, 2023 | | 2023 |
XINTONG YANState grid of ChinaVerified email at hnu.edu.cn
