| Triple Attention Learning for Classification of 14 Thoracic Diseases Using Chest Radiography H Wang, S Wang, Z Qin, Y Zhang, R Li, Y Xia Medical Image Analysis 67, 101846, 2020 | 99 | 2020 |
| Thorax-Net: An attention regularized deep neural network for classification of thoracic diseases on chest radiography H Wang, Y Xia IEEE journal of biomedical and health informatics, 2019 | 99 | 2019 |
| Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study Y Jiang, Z Zhang, Q Yuan, W Wang, H Wang, T Li, W Huang, J Xie, ... The Lancet Digital Health 4 (5), e340-e350, 2022 | 57 | 2022 |
| Domain-ensemble learning with cross-domain mixup for thoracic disease classification in unseen domains H Wang, Y Xia Biomedical Signal Processing and Control 81, 104488, 2023 | 7 | 2023 |
| Single-Cell and Spatial Transcriptomic Analysis of Human Skin Delineates Intercellular Communication and Pathogenic Cells K Thrane, MCG Winge, H Wang, L Chen, MG Guo, A Andersson, ... Journal of Investigative Dermatology 143 (11), 2177-2192. e13, 2023 | 3 | 2023 |
| Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics Y Jiang, K Zhou, Z Sun, H Wang, J Xie, T Zhang, S Sang, MT Islam, ... Cell Reports Medicine 4 (8), 2023 | 3 | 2023 |
| Jointly using deep model learned features and traditional visual features in a stacked SVM for medical subfigure classification H Wang, J Zhang, Y Xia Intelligence Science and Big Data Engineering: 7th International Conference …, 2017 | 2 | 2017 |
