| Advances in deep learning-based medical image analysis X Liu, K Gao, B Liu, C Pan, K Liang, L Yan, J Ma, F He, S Zhang, S Pan, ... Health Data Science 2021, 2021 | 126 | 2021 |
| Survey on deep learning for pulmonary medical imaging J Ma, Y Song, X Tian, Y Hua, R Zhang, J Wu Frontiers of medicine 14 (4), 450-469, 2020 | 119 | 2020 |
| Evaluating a fully automated pulmonary nodule detection approach and its impact on radiologist performance K Liu, Q Li, J Ma, Z Zhou, M Sun, Y Deng, W Tu, Y Wang, L Fan, C Xia, ... Radiology: Artificial Intelligence 1 (3), e180084, 2019 | 93 | 2019 |
| Cross-view correspondence reasoning based on bipartite graph convolutional network for mammogram mass detection Y Liu, F Zhang, Q Zhang, S Wang, J Ma, Y Wang, Y Yu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020 | 66 | 2020 |
| The long-term health outcomes, pathophysiological mechanisms and multidisciplinary management of long COVID J Li, Y Zhou, J Ma, Q Zhang, J Shao, S Liang, Y Yu, W Li, C Wang Signal Transduction and Targeted Therapy 8 (1), 416, 2023 | 61 | 2023 |
| Predicting EGFR and PD-L1 status in NSCLC patients using multitask AI system based on CT images C Wang, J Ma, J Shao, S Zhang, Z Liu, Y Yu, W Li Frontiers in immunology 13, 813072, 2022 | 53 | 2022 |
| Non-invasive measurement using deep learning algorithm based on multi-source features fusion to predict PD-L1 expression and survival in NSCLC C Wang, J Ma, J Shao, S Zhang, J Li, J Yan, Z Zhao, C Bai, Y Yu, W Li Frontiers in immunology 13, 828560, 2022 | 50 | 2022 |
| Correlation-aware mutual learning for semi-supervised medical image segmentation S Gao, Z Zhang, J Ma, Z Li, S Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 45 | 2023 |
| Cross-view relation networks for mammogram mass detection J Ma, S Liang, X Li, H Li, BH Menze, R Zhang, WS Zheng International Conference on Pattern Recognition 2020, 2019 | 42 | 2019 |
| Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology J Shao, J Ma, Q Zhang, W Li, C Wang Seminars in cancer biology 91, 1-15, 2023 | 41 | 2023 |
| Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks X Li, C Lu, D Cheng, WH Li, M Cao, B Liu, J Ma*, WS Zheng International Conference on Image and Graphics (ICIG), 2019 | 34 | 2019 |
| The application of artificial intelligence in the diagnosis and drug resistance prediction of pulmonary tuberculosis S Liang, J Ma, G Wang, J Shao, J Li, H Deng, C Wang, W Li Frontiers in medicine 9, 935080, 2022 | 29 | 2022 |
| Revisiting 3D context modeling with supervised pre-training for universal lesion detection in CT slices S Zhang, J Xu, YC Chen, J Ma, Z Li, Y Wang, Y Yu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 27 | 2020 |
| Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases C Wang, J Ma, S Zhang, J Shao, Y Wang, HY Zhou, L Song, J Zheng, ... NPJ Digital Medicine 5 (1), 124, 2022 | 25 | 2022 |
| Radiogenomic system for non-invasive identification of multiple actionable mutations and PD-L1 expression in non-small cell lung cancer based on CT images J Shao, J Ma, S Zhang, J Li, H Dai, S Liang, Y Yu, W Li, C Wang Cancers 14 (19), 4823, 2022 | 21 | 2022 |
| Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images J Ma, X Li, H Li, BH Menze, S Liang, R Zhang, WS Zheng International Conference on Medical Imaging with Deep Learning (MIDL), 2018 | 16 | 2018 |
| Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training S Zhang, Z Li, HY Zhou, J Ma, Y Yu Neurocomputing 529, 11-22, 2023 | 15 | 2023 |
| Immune regulation and emerging roles of noncoding RNAs in Mycobacterium tuberculosis infection S Liang, J Ma, H Gong, J Shao, J Li, Y Zhan, Z Wang, C Wang, W Li Frontiers in Immunology 13, 987018, 2022 | 13 | 2022 |
| The application of artificial intelligence to chest medical image analysis F Liu, J Tang, J Ma, C Wang, Q Ha, Y Yu, Z Zhou Intelligent Medicine 1 (3), 104-117, 2021 | 12 | 2021 |
| Clinical applicable AI system based on deep learning algorithm for differentiation of pulmonary infectious disease Y Zhang, X Hu, J Ma, X Wang, H Luo, Z Wu, S Zhang, D Shi, Y Yu, X Qiu, ... Frontiers in Medicine 8, 753055, 2021 | 8 | 2021 |
Yizhou YuThe University of Hong Kong, IEEE Fellow在 acm.org 的电子邮件经过验证