| 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, 2021 | 34 | 2021 |
| 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 …, 2020 | 31 | 2020 |
| 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 |
| Fusing label relations for chinese emr named entity recognition with machine reading comprehension S Liu, J Duan, F Gong, H Yue, J Wang International Symposium on Bioinformatics Research and Applications, 41-51, 2022 | 6 | 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 |
| RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss Y Chen, H Yue, H Kuang, J Wang Computers in Biology and Medicine 160, 106953, 2023 | 3 | 2023 |
| Chinese EMR Named Entity Recognition Using Fused Label Relations Based on Machine Reading Comprehension Framework J Duan, S Liu, X Liao, F Gong, H Yue, J Wang IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024 | | 2024 |
| Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation C Wang, H Kuang, J Liu, J Li, H Yue, 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 |
| Predicting pathological response to neoadjuvant or conversion chemoimmunotherapy in stage IB–III non‐small cell lung cancer patients using radiomic features N Yang, HL Yue, BH Zhang, J Chen, Q Chu, JX Wang, XP Yu, L Jian, ... Thoracic Cancer 14 (28), 2869-2876, 2023 | | 2023 |
| 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 |
| Predicting Pathological Response in Esophageal Squamous Cell Carcinoma Patients with Longitudinal CT Radiomics and Disentangled Representation Learning: A Multicenter Study X Zhou, H Yue, Z Zheng, L Wu, Y Wang, Y Zhou, J Li, Y Liu, G Wan, ... | | |
Jianxin WangSchool of Computer Science and Engineering, Central South universityVerified email at mail.csu.edu.cn
