| Somatosensory-motor dysconnectivity spans multiple transdiagnostic dimensions of psychopathology V Kebets, AJ Holmes, C Orban, S Tang, J Li, N Sun, R Kong, RA Poldrack, ... Biological psychiatry 86 (10), 779-791, 2019 | 183 | 2019 |
| Reconciling dimensional and categorical models of autism heterogeneity: a brain connectomics and behavioral study S Tang, N Sun, DL Floris, X Zhang, A Di Martino, BTT Yeo Biological psychiatry 87 (12), 1071-1082, 2020 | 92 | 2020 |
| Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset S Tang, A Ghorbani, R Yamashita, S Rehman, JA Dunnmon, J Zou, ... Scientific reports 11 (1), 8366, 2021 | 83 | 2021 |
| Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis S Tang, J Dunnmon, KK Saab, X Zhang, Q Huang, F Dubost, D Rubin, ... International Conference on Learning Representations, 2022 | 82 | 2022 |
| Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes S Tang, O Razeghi, R Kapoor, MI Alhusseini, M Fazal, AJ Rogers, ... Circulation: Arrhythmia and Electrophysiology, 10.1161/CIRCEP. 122.010850, 2022 | 28 | 2022 |
| Artificial intelligence predictive model for hormone therapy use in prostate cancer DE Spratt, S Tang, Y Sun, HC Huang, E Chen, O Mohamad, AJ Armstrong, ... NEJM evidence 2 (8), EVIDoa2300023, 2023 | 21 | 2023 |
| Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models S Tang, JA Dunnmon, L Qu, KK Saab, T Baykaner, C Lee-Messer, ... Proceedings of the Conference on Health, Inference, and Learning 209, 50-71, 2023 | 18 | 2023 |
| Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset RS Lee, JA Dunnmon, A He, S Tang, C Re, DL Rubin Journal of biomedical informatics 113, 103656, 2021 | 18 | 2021 |
| Preparing for the next pandemic via transfer learning from existing diseases with hierarchical multi-modal BERT: A study on COVID-19 outcome prediction K Agarwal, S Choudhury, S Tipirneni, P Mukherjee, C Ham, S Tamang, ... Scientific reports 12 (1), 10748, 2022 | 16* | 2022 |
| Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks S Tang, A Tariq, JA Dunnmon, U Sharma, P Elugunti, DL Rubin, BN Patel, ... IEEE Journal of Biomedical and Health Informatics 27 (4), 2071-2082, 2023 | 12 | 2023 |
| Orientation estimation and grasp type detection of household objects for upper limb prostheses with dynamic vision sensor S Tang, R Ghosh, NV Thakor, SL Kukreja 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 99-102, 2016 | 10 | 2016 |
| Automated seizure detection and seizure type classification from electroencephalography with a graph neural network and self-supervised pre-training S Tang, JA Dunnmon, K Saab, X Zhang, Q Huang, F Dubost, DL Rubin, ... arXiv preprint arXiv:2104.08336 10, 2021 | 6 | 2021 |
| Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography O Razeghi, R Kapoor, MI Alhusseini, M Fazal, S Tang, CH Roney, ... Journal of cardiovascular electrophysiology 34 (5), 1164-1174, 2023 | 3 | 2023 |
| Graph-based Fusion Modeling and Explanation forDisease Trajectory Prediction A Tariq, S Tang, H Sakhi, LA Celi, JM Newsome, DL Rubin, H Trivedi, ... AMIA Annual Symposium Proceedings 2022, 1052, 2022 | 3 | 2022 |
| Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging YR Wang, K Yang, Y Wen, P Wang, Y Hu, Y Lai, Y Wang, K Zhao, S Tang, ... Nature Medicine, 1-10, 2024 | 2 | 2024 |
| Modeling Multivariate Biosignals with Graph Neural Networks and Structured State Space S Tang, J Dunnmon, L Qu, KK Saab, T Baykaner, C Lee-Messer, D Rubin ICLR 2023 Workshop on Time Series Representation Learning for Health, 2023 | 2 | 2023 |
| Spatiotemporal feature learning for event-based vision R Ghosh, A Gupta, S Tang, A Soares, N Thakor arXiv preprint arXiv:1903.06923, 2019 | 2 | 2019 |
| Pose-invariant object recognition for event-based vision with slow-ELM R Ghosh, T Siyi, M Rasouli, NV Thakor, SL Kukreja International Conference on Artificial Neural Networks, 455-462, 2016 | 2 | 2016 |
| Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients A Tariq, S Tang, H Sakhi, LA Celi, JM Newsome, DL Rubin, H Trivedi, ... Journal of Medical Imaging 10 (3), 034004-034004, 2023 | 1* | 2023 |
| DH-575-01 Machine learning-enabled multimodal fusion of intra-atrial and body surface signals in prediction of atrial fibrillation ablation outcomes S Tang, O Razeghi, R Kapoor, MI Alhusseini, M Fazal, AJ Rogers, ... Heart Rhythm 19 (5), S20-S21, 2022 | 1 | 2022 |
