A survey on the interpretability of deep learning in medical diagnosis Q Teng, Z Liu, Y Song, K Han, Y Lu Multimedia Systems 28 (6), 2335-2355, 2022 | 98 | 2022 |
An effective semi-supervised approach for liver CT image segmentation K Han, L Liu, Y Song, Y Liu, C Qiu, Y Tang, Q Teng, Z Liu IEEE Journal of Biomedical and Health Informatics 26 (8), 3999-4007, 2022 | 50 | 2022 |
Deep semi-supervised learning for medical image segmentation: A review K Han, VS Sheng, Y Song, Y Liu, C Qiu, S Ma, Z Liu Expert Systems with Applications, 123052, 2024 | 46 | 2024 |
RTUNet: Residual transformer UNet specifically for pancreas segmentation C Qiu, Z Liu, Y Song, J Yin, K Han, Y Zhu, Y Liu, VS Sheng Biomedical Signal Processing and Control 79, 104173, 2023 | 30 | 2023 |
Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks Z Liu, K Han, Z Wang, J Zhang, Y Song, X Yao, D Yuan, VS Sheng Multimedia Systems 27, 111-124, 2021 | 29 | 2021 |
CMFCUNet: cascaded multi-scale feature calibration UNet for pancreas segmentation C Qiu, Y Song, Z Liu, J Yin, K Han, Y Liu Multimedia Systems 29 (2), 871-886, 2023 | 21 | 2023 |
HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images W Hao, J Zhang, J Su, Y Song, Z Liu, Y Liu, C Qiu, K Han Computer Methods and Programs in Biomedicine 224, 107003, 2022 | 21 | 2022 |
Improving CT-image universal lesion detection with comprehensive data and feature enhancements Z Liu, K Han, K Xue, Y Song, L Liu, Y Tang, Y Zhu Multimedia Systems 28 (5), 1741-1752, 2022 | 9 | 2022 |
Pancreas segmentation based on an optimized coarse-to-fine method C Qiu, Z Liu, Y Song, K Han 2020 International Conference on Internet of Things and Intelligent …, 2020 | 6 | 2020 |
MMMViT: Multiscale multimodal vision transformer for brain tumor segmentation with missing modalities C Qiu, Y Song, Y Liu, Y Zhu, K Han, VS Sheng, Z Liu Biomedical Signal Processing and Control 90, 105827, 2024 | 5 | 2024 |
Noisy-to-Clean Label Learning for Medical Image Segmentation Z Bu, X Wang, C Qiu, Z Wang, K Han, X Shan, Z Liu 2023 IEEE International Conference on Multimedia and Expo (ICME), 1553-1558, 2023 | 3 | 2023 |
CPSNet: a cyclic pyramid-based small lesion detection network Y Zhu, Z Liu, Y Song, K Han, C Qiu, YY Tang, J Zhang, Y Liu Multimedia Tools and Applications 83 (13), 39983-40001, 2024 | 2 | 2024 |
Cascaded multi-point regression Network for high-quality generic lesion detection H Li, H Rong, VS Sheng, Y Song, C Qiu, K Han, Z Liu Expert Systems with Applications 214, 119141, 2023 | 2 | 2023 |
Automatic medical report generation combining contrastive learning and feature difference C Lyu, C Qiu, K Han, S Li, VS Sheng, H Rong, Y Song, Y Liu, Z Liu Knowledge-Based Systems 305, 112630, 2024 | 1 | 2024 |
Imbalance multiclass problem: a robust feature enhancement-based framework for liver lesion classification R Hu, Y Song, Y Liu, Y Zhu, N Feng, C Qiu, K Han, Q Teng, IU Haq, Z Liu Multimedia Systems 30 (2), 104, 2024 | 1 | 2024 |
Robust Liver Vessel Extraction Using DV-Net with D-BCE Loss Function J Su, Z Liu, Y Song, W Wang, K Han, Y Tang, X Liu Advances in Artificial Intelligence and Security: 7th International …, 2021 | 1 | 2021 |
Automatic CT lesion detection based on feature pyramid inference with multi-scale response Y Tang, Z Liu, Y Song, K Han, J Su, W Wang, F Hu, J Zhang Artificial Intelligence and Security: 7th International Conference, ICAIS …, 2021 | 1 | 2021 |
Wavelet Transform-based Distribution Discrepancy Maximization for Medical Image Segmentation K Han, J Chen, S Ma, Y Song, Y Lu, Z Liu 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
AugMixSpeech: A Data Augmentation Method and Consistency Regularization for Mandarin Automatic Speech Recognition Y Jiang, J Chen, K Han, Y Liu, S Ma, Y Song, Z Liu CCF International Conference on Natural Language Processing and Chinese …, 2024 | | 2024 |
Sample Selection Based on Uncertainty for Combating Label Noise S Hao, Z Liu, Y Song, Y Liu, K Han, VS Sheng, Y Zhu International Conference on Neural Information Processing, 62-74, 2023 | | 2023 |