| A survey on U-shaped networks in medical image segmentations L Liu, J Cheng, Q Quan, FX Wu, YP Wang, J Wang Neurocomputing 409, 244-258, 2020 | 276 | 2020 |
| A fully automated multimodal MRI-based multi-task learning for glioma segmentation and IDH genotyping J Cheng, J Liu, H Kuang, J Wang IEEE Transactions on Medical Imaging 41 (6), 1520-1532, 2022 | 120 | 2022 |
| Multimodal disentangled variational autoencoder with game theoretic interpretability for glioma grading J Cheng, M Gao, J Liu, H Yue, H Kuang, J Liu, J Wang IEEE Journal of Biomedical and Health Informatics 26 (2), 673-684, 2022 | 49 | 2022 |
| Prediction of glioma grade using intratumoral and peritumoral radiomic features from multiparametric mri images J Cheng, J Liu, H Yue, H Bai, Y Pan, J Wang IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (2 …, 2022 | 47 | 2022 |
| COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data J Cheng, J Sollee, C Hsieh, H Yue, N Vandal, J Shanahan, JW Choi, ... European radiology 32 (7), 4446-4456, 2022 | 38 | 2022 |
| Arsc-net: Adventitious respiratory sound classification network using parallel paths with channel-spatial attention L Xu, J Cheng, J Liu, H Kuang, F Wu, J Wang 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 32 | 2021 |
| MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images H Yue, J Liu, J Li, H Kuang, J Lang, J Cheng, L Peng, Y Han, H Bai, ... Medical image analysis 79, 102423, 2022 | 27 | 2022 |
| Multi-level glioma segmentation using 3D U-net combined attention mechanism with atrous convolution J Cheng, J Liu, L Liu, Y Pan, J Wang 2019 ieee international conference on bioinformatics and biomedicine (BIBM …, 2019 | 26 | 2019 |
| DARC: Deep adaptive regularized clustering for histopathological image classification J Li, J Liu, H Yue, J Cheng, H Kuang, H Bai, Y Wang, J Wang Medical image analysis 80, 102521, 2022 | 20 | 2022 |
| Automated diagnosis of COVID-19 using deep supervised autoencoder with multi-view features from CT images J Cheng, W Zhao, J Liu, X Xie, S Wu, L Liu, H Yue, J Li, J Wang, J Liu IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (5 …, 2021 | 16 | 2021 |
| DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis J Cheng, H Kuang, Q Zhao, Y Wang, L Xu, J Liu, J Wang Future Generation Computer Systems 135, 20-29, 2022 | 8 | 2022 |
| Prediction of egfr mutation status in lung adenocarcinoma using multi-source feature representations J Cheng, J Liu, M Jiang, H Yue, L Wu, J Wang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 6 | 2021 |
| Magnetic resonance imaging (MRI)-based intratumoral and peritumoral radiomics for prognosis prediction in glioma patients M Gao, J Cheng, A Qiu, D Zhao, J Wang, J Liu Clinical Radiology 79 (11), e1383-e1393, 2024 | 2 | 2024 |
| A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer H Yue, J Liu, H Kuang, J Cheng, J Li, J Wang 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 2 | 2023 |
| A double cascaded framework based on 3D SEAU-Net for kidney and kidney tumor Segmentation J Cheng, J Liu, L Liu, Y Pan, J Wang University of Minnesota Libraries Publishing, 2019 | 2 | 2019 |
| A new deep learning training scheme: Application to biomedical data J Cheng, Q Zhao, L Xu, J Liu Bioinformatics Research and Applications: 17th International Symposium …, 2021 | 1 | 2021 |
| Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI J Cheng, H Kuang, S Yang, H Yue, J Liu, J Wang Big Data Mining and Analytics 8 (2), 364-382, 2025 | | 2025 |
| A2HTL: An Automated Hybrid Transformer Based Learning for Predicting Survival of Esophageal Cancer Using CT Images H Yue, J Liu, L Zhao, H Kuang, J Cheng, J Li, M He, J Gong, J Wang IEEE Transactions on NanoBioscience, 2024 | | 2024 |
| Incomplete Multimodal Learning with Modality-Aware Feature Interaction for Brain Tumor Segmentation J Cheng, R Feng, J Li, J Xu International Symposium on Bioinformatics Research and Applications, 281-290, 2024 | | 2024 |
| M3CI-Net: Multi-Modal MRI-Based Characteristics Inspired Network for IDH Genotyping J Yao, J Liu, J Cheng, H Kuang, J Wang 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
Jianxin WangSchool of Computer Science and Engineering, Central South universityEmail verificata su mail.csu.edu.cn