| 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 | 215 | 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 | 76 | 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 | 33 | 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 | 32* | 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 | 29 | 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 | 24 | 2019 |
| 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 | 22 | 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 | 18 | 2022 |
| 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 | 17 | 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 | 12 | 2021 |
| 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 |
| 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 | 3 | 2022 |
| 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 |
| 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 |
| 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 | | 2023 |
| MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status X Li, J Cheng, J Liu, H Kuang, C Shen, P Yang, J Wang 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | | 2022 |
| COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data (vol 19, pg 1, 2022) J Cheng, J Sollee, C Hsieh, H Yue, N Vandal, J Shanahan, JW Choi, ... EUROPEAN RADIOLOGY 32 (7), 5034-5034, 2022 | | 2022 |
| Two-Stage CT-Based Radiomic Signature to Predict the Efficacy of Immunotherapy P Yang, J Cheng, H Elhalawani, Y Jin, J Liu, AS Mohamed, H Jin, N Yang, ... International Journal of Radiation Oncology, Biology, Physics 111 (3), e135, 2021 | | 2021 |
| 177 CT RADIOMICS BASED ON MACHINE LEARNING PREDICTING PATHOLOGIC COMPLETE RESPONSE AFTER NEOADJUVANT CHEMORADIOTHERAPY FOR ESOPHAGEAL CANCER XF Leng, QF Wang, JY Lang, T Li, YT Han, L Peng, H Yue, J Cheng, J Liu Diseases of the Esophagus 34 (Supplement_1), doab052. 177, 2021 | | 2021 |
Jianxin WangSchool of Computer Science and Engineering, Central South universityVerified email at mail.csu.edu.cn
