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2020 – today
- 2024
[j10]Lu Qiao, Xue Bai, Xiuying Liang, Jianhong Cheng, Yujuan Xia:
User behavior and energy-saving potential of electric washing machines. Energy Inform. 7(1): 137 (2024)- [c8]Jianhong Cheng, Rui Feng, Jinyang Li, Jun Xu:
Incomplete Multimodal Learning with Modality-Aware Feature Interaction for Brain Tumor Segmentation. ISBRA (2) 2024: 281-290 - [i2]Yuheng Jia, Jianhong Cheng, Hui Liu, Junhui Hou:
Towards Calibrated Deep Clustering Network. CoRR abs/2403.02998 (2024) - [i1]Fuchao Yang, Jianhong Cheng, Hui Liu, Yongqiang Dong, Yuheng Jia, Junhui Hou:
Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning. CoRR abs/2412.05029 (2024) - 2023
- [c7]Jingxiao Yao, Jin Liu, Jianhong Cheng, Hulin Kuang, Jian-Xin Wang:
M3CI-Net: Multi-Modal MRI-Based Characteristics Inspired Network for IDH Genotyping. BIBM 2023: 1649-1654 - [c6]Hailin Yue, Jin Liu, Hulin Kuang, Jianhong Cheng, Junjian Li, Jianxin Wang:
A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer. BIBM 2023: 1670-1675 - 2022
- [j9]Jianhong Cheng, Hulin Kuang
, Qichang Zhao, Yahui Wang, Lei Xu, Jin Liu, Jianxin Wang:
DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis. Future Gener. Comput. Syst. 135: 20-29 (2022) - [j8]Hailin Yue, Jin Liu, Junjian Li, Hulin Kuang, Jinyi Lang, Jianhong Cheng, Lin Peng, Yongtao Han, Harrison Bai, Yu-Ping Wang, Qifeng Wang, Jianxin Wang:
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images. Medical Image Anal. 79: 102423 (2022) - [j7]Junjian Li, Jin Liu, Hailin Yue, Jianhong Cheng, Hulin Kuang, Harrison Bai, Yu-Ping Wang, Jianxin Wang:
DARC: Deep adaptive regularized clustering for histopathological image classification. Medical Image Anal. 80: 102521 (2022) - [j6]Jianhong Cheng, Jin Liu, Hailin Yue, Harrison Bai, Yi Pan, Jianxin Wang:
Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1084-1095 (2022) - [j5]Jianhong Cheng, Wei Zhao, Jin Liu, Xingzhi Xie, Shangjie Wu, Liangliang Liu, Hailin Yue, Junjian Li, Jianxin Wang, Jun Liu:
Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2723-2736 (2022) - [j4]Jianhong Cheng, Min Gao, Jin Liu, Hailin Yue, Hulin Kuang, Jun Liu, Jianxin Wang:
Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading. IEEE J. Biomed. Health Informatics 26(2): 673-684 (2022) - [j3]Jianhong Cheng, Jin Liu, Hulin Kuang, Jianxin Wang:
A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping. IEEE Trans. Medical Imaging 41(6): 1520-1532 (2022) - [c5]Xinyu Li, Jianhong Cheng, Jin Liu, Hulin Kuang, Chengchao Shen, Pei Yang, Jianxin Wang:
MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status. BIBM 2022: 1040-1045 - 2021
- [c4]Lei Xu, Jianhong Cheng, Jin Liu, Hulin Kuang, Fan Wu, Jianxin Wang:
ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention. BIBM 2021: 1125-1130 - [c3]Jianhong Cheng, Jin Liu, Meilin Jiang, Hailin Yue, Lin Wu, Jianxin Wang:
Prediction of Egfr Mutation Status in Lung Adenocarcinoma Using Multi-Source Feature Representations. ICASSP 2021: 1350-1354 - [c2]Jianhong Cheng, Qichang Zhao, Lei Xu, Jin Liu:
A New Deep Learning Training Scheme: Application to Biomedical Data. ISBRA 2021: 451-459 - 2020
- [j2]Liangliang Liu, Jianhong Cheng, Quan Quan, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang:
A survey on U-shaped networks in medical image segmentations. Neurocomputing 409: 244-258 (2020)
2010 – 2019
- 2019
- [j1]Xinqing Xiao, Zetian Fu, Xiaoshuan Zhang, Jianhong Cheng, Mingsong Yang:
Battery-free wireless sensor system with compressed sensing for table grapes cold chain. Comput. Electron. Agric. 163 (2019) - [c1]Jianhong Cheng, Jin Liu, Liangliang Liu, Yi Pan, Jianxin Wang:
Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution. BIBM 2019: 1031-1036
Coauthor Index
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