A unified review of deep learning for automated medical coding S Ji, X Li, W Sun, H Dong, A Taalas, Y Zhang, H Wu, E Pitkänen, ... ACM Computing Surveys, 2022 | 19 | 2022 |
Alleviating exposure bias in diffusion models through sampling with shifted time steps M Li, T Qu, R Yao, W Sun, MF Moens arXiv preprint arXiv:2305.15583, 2023 | 17 | 2023 |
Multitask Balanced and Recalibrated Network for Medical Code Prediction W Sun, S Ji, E Cambria, P Marttinen ACM Transactions on Intelligent Systems and Technology 14 (1), pp1-20, 2021 | 15 | 2021 |
Multitask recalibrated aggregation network for medical code prediction W Sun, S Ji, E Cambria, P Marttinen Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 12 | 2021 |
DMON: A Simple yet Effective Approach for Argument Structure Learning W Sun, M Li, J Sun, J Davis, MF Moens arXiv preprint arXiv:2405.01216, 2024 | | 2024 |
Using unsupervised topic modeling to uncover document hierarchy and latent topics in prostate cancer clinical texts T Denti, W Sun, S Ji, H Moen, O Kerro, A Rannikko, P Marttinen, ... medRxiv, 2024.01. 29.24301349, 2024 | | 2024 |
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence W Sun, M Li, D Sileo, J Davis, MF Moens arXiv preprint arXiv:2310.01299, 2023 | | 2023 |
Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition W Sun, S Ji, T Denti, H Moen, O Kerro, A Rannikko, P Marttinen, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
Content Reduction, Surprisal and Information Density Estimation for Long Documents S Ji, W Sun, P Marttinen arXiv preprint arXiv:2309.06009, 2023 | | 2023 |
Towards Explainability in Automated Medical Code Prediction from Clinical Records K Uma, S Francis, W Sun, MF Moens Intelligent Systems Conference, 593-637, 2023 | | 2023 |
Extracting Medical Entities from Radiology Reports with Ontology-based Distant Supervision W Sun | | 2022 |