Federated learning for healthcare informatics J Xu, BS Glicksberg, C Su, P Walker, J Bian, F Wang
Journal of healthcare informatics research 5, 1-19, 2021
1313 2021 Federated learning of electronic health records to improve mortality prediction in hospitalized patients with COVID-19: machine learning approach A Vaid, SK Jaladanki, J Xu, S Teng, A Kumar, S Lee, S Somani, ...
JMIR medical informatics 9 (1), e24207, 2021
239 2021 Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes H Zhang, C Zang, Z Xu, Y Zhang, J Xu, J Bian, D Morozyuk, D Khullar, ...
Nature Medicine 29 (1), 226-235, 2023
160 2023 Algorithmic Fairness in Computational Medicine J Xu, Y Xiao, WH Wang, Y Ning, EA Shenkman, J Bian, F Wang
eBioMedicine 84, 2022
106 2022 Similarity constraints-based structured output regression machine: An approach to image super-resolution C Deng, J Xu, K Zhang, D Tao, X Gao, X Li
IEEE transactions on neural networks and learning systems 27 (12), 2472-2485, 2015
52 2015 Early prediction of Alzheimer's disease and related dementias using real‐world electronic health records Q Li, X Yang, J Xu, Y Guo, X He, H Hu, T Lyu, D Marra, A Miller, G Smith, ...
Alzheimer's & Dementia 19 (8), 3506-3518, 2023
46 2023 Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative C Zang, Y Zhang, J Xu, J Bian, D Morozyuk, EJ Schenck, D Khullar, ...
Nature Communications 14 (1), 1948, 2023
46 * 2023 A(DP) J Xu, W Zhang, F Wang
IEEE transactions on pattern analysis and machine intelligence 44 (11), 8036 …, 2021
44 2021 Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records J Xu, F Wang, Z Xu, P Adekkanattu, P Brandt, G Jiang, RC Kiefer, Y Luo, ...
Learning Health Systems 4 (4), e10246, 2020
39 2020 AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease C Mao, J Xu, L Rasmussen, Y Li, P Adekkanattu, J Pacheco, ...
Journal of biomedical informatics 144, 104442, 2023
36 * 2023 A translational perspective towards clinical AI fairness M Liu, Y Ning, S Teixayavong, M Mertens, J Xu, DSW Ting, LTE Cheng, ...
NPJ Digital Medicine 6 (1), 172, 2023
34 * 2023 Compressed multi-scale feature fusion network for single image super-resolution X Fan, Y Yang, C Deng, J Xu, X Gao
Signal processing 146, 50-60, 2018
34 2018 Multi-class support vector machine via maximizing multi-class margins J Xu, X Liu, Z Huo, C Deng, F Nie, H Huang
The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017
34 2017 Bilevel distance metric learning for robust image recognition J Xu, L Luo, C Deng, H Huang
Advances in neural information processing systems 31, 2018
30 2018 High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data C Zang, H Zhang, J Xu, H Zhang, S Fouladvand, S Havaldar, F Cheng, ...
Nature communications 14 (1), 8180, 2023
28 * 2023 Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language PS Brandt, RC Kiefer, JA Pacheco, P Adekkanattu, ET Sholle, FS Ahmad, ...
Learning Health Systems 4 (4), e10233, 2020
26 2020 Subphenotyping depression using machine learning and electronic health records Z Xu, F Wang, P Adekkanattu, B Bose, V Vekaria, P Brandt, G Jiang, ...
Learning Health Systems 4 (4), e10241, 2020
25 2020 Federated patient hashing J Xu, Z Xu, P Walker, F Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6486-6493, 2020
21 2020 Multi-Level Metric Learning via Smoothed Wasserstein Distance. J Xu, L Luo, C Deng, H Huang
The 27th International Joint Conference on Artificial Intelligence (IJCAI …, 2018
21 2018 Predicting alzheimer’s disease cognitive assessment via robust low-rank structured sparse model J Xu, C Deng, X Gao, D Shen, H Huang
IJCAI: proceedings of the conference 2017, 3880, 2017
18 2017 
Fei Wang, FAMIA, FIAHSI, FACMIProfessor at Cornell UniversityCorreu electrònic verificat a med.cornell.edu
