| Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans CBS Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael ... Nature Machine Intelligence, 2021 | 993 | 2021 |
| A research agenda for ageing in China in the 21st century: Focusing on basic and translational research, long-term care, policy and social networks EF Fang, C Xie, JA Schenkel, C Wu, Q Long, H Cui, Y Aman, J Frank, ... Ageing research reviews 64, 101174, 2020 | 518 | 2020 |
| Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images S Hu, Y Gao, Z Niu, Y Jiang, L Li, X Xiao, M Wang, EF Fang, ... IEEE Access, 2020 | 427 | 2020 |
| Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow C Xie, XX Zhuang, Z Niu, R Ai, S Lautrup, S Zheng, Y Jiang, R Han, ... Nature biomedical engineering 6 (1), 76-93, 2022 | 200 | 2022 |
| Communicative Representation Learning on Attributed Molecular Graphs Y Song, S Zheng, Z Niu, ZH Fu, Y Lu, Y Yang IJCAI (International Joint Conference on Artificial Intelligence), 2831-2838, 2020 | 184 | 2020 |
| PharmKG: a dedicated knowledge graph benchmark for bomedical data mining S Zheng, J Rao, Y Song, J Zhang, X Xiao, EF Fang, Y Yang, Z Niu Briefings in Bioinformatics 22 (4), bbaa344, 2021 | 138 | 2021 |
| AI-aided design of novel targeted covalent inhibitors against SARS-CoV-2 B Tang, F He, D Liu, F He, T Wu, M Fang, Z Niu, Z Wu, D Xu Biomolecules 12 (6), 746, 2022 | 126 | 2022 |
| Learning spatial structures of proteins improves protein–protein interaction prediction B Song, X Luo, X Luo, Y Liu, Z Niu, X Zeng Briefings in Bioinformatics, 2022 | 88 | 2022 |
| Association of APOE ε4 genotype and lifestyle with cognitive function among Chinese adults aged 80 years and older: A cross-sectional study LLY Xurui Jin,Wanying He,Yan Zhang,Enying Gong,Zhangming Niu,John Ji,Yaxi Li ... Plos Medicine, 2021 | 81 | 2021 |
| SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction Z Yuan, M Jiang, Y Wang, B Wei, Y Li, P Wang, W Menpes-Smith, Z Niu, ... Frontiers in Neuroinformatics 14, 58, 2020 | 72 | 2020 |
| An extensive benchmark study on biomedical text generation and mining with ChatGPT Q Chen, H Sun, H Liu, Y Jiang, T Ran, X Jin, X Xiao, Z Lin, H Chen, Z Niu Bioinformatics 39 (9), btad557, 2023 | 62 | 2023 |
| Pharmacophoric-constrained heterogeneous graph transformer model for molecular property prediction Y Jiang, S Jin, X Jin, X Xiao, W Wu, X Liu, Q Zhang, X Zeng, G Yang, ... Communications Chemistry 6 (1), 60, 2023 | 50 | 2023 |
| The NAD+-mitophagy axis in healthy longevity and in artificial intelligence-based clinical applications Y Aman, J Frank, SH Lautrup, A Matysek, Z Niu, G Yang, L Shi, ... Mechanisms of ageing and development 185, 111194, 2020 | 44 | 2020 |
| Modality-DTA: multimodality fusion strategy for drug–target affinity prediction X Yang, Z Niu, Y Liu, B Song, W Lu, L Zeng, X Zeng IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (2 …, 2022 | 41 | 2022 |
| Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images Q Ye, Y Gao, W Ding, Z Niu, C Wang, Y Jiang, M Wang, EF Fang, ... Applied Soft Computing Journal, 2022 | 36 | 2022 |
| Pre‐Training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding F Wu, S Jin, Y Jiang, X Jin, B Tang, Z Niu, X Liu, Q Zhang, X Zeng, SZ Li Advanced Science 9 (33), 2203796, 2022 | 35* | 2022 |
| Geometry-based molecular generation with deep constrained variational autoencoder C Li, J Yao, W Wei, Z Niu, X Zeng, J Li, J Wang IEEE Transactions on Neural Networks and Learning Systems 35 (4), 4852-4861, 2022 | 35 | 2022 |
| A spatial-temporal gated attention module for molecular property prediction based on molecular geometry C Li, J Wang, Z Niu, J Yao, X Zeng Briefings in Bioinformatics 22 (5), bbab078, 2021 | 32 | 2021 |
| Systematic and comprehensive automated ventricle segmentation on ventricle images of the elderly patients: a retrospective study X Zhou, Q Ye, Y Jiang, M Wang, Z Niu, W Menpes-Smith, EF Fang, Z Liu, ... Frontiers in Aging Neuroscience 12, 618538, 2020 | 28 | 2020 |
| AIX-COVNET M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ... Common pitfalls and recommendations for using machine learning to detect and …, 2021 | 26* | 2021 |
Evandro Fei FangUniversity of Oslo, Akershus U. Hospital, National Institute on Aging (former), CUHK (former)medisin.uio.no의 이메일 확인됨