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Siyi Tang
Siyi Tang
Machine Learning Scientist, Artera
Verified email at artera.ai
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Cited by
Cited by
Year
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
1682019
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
872020
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
732021
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
672022
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
212022
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
162021
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
14*2022
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
122023
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
102016
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
92023
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
82023
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
62021
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
32022
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
22023
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
22023
Spatiotemporal feature learning for event-based vision
R Ghosh, A Gupta, S Tang, A Soares, N Thakor
arXiv preprint arXiv:1903.06923, 2019
22019
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
22016
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
12022
Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data.
S Choudhury, K Agarwal, C Ham, P Mukherjee, S Tang, S Tipirneni, ...
AMIA, 2021
12021
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