| Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms W Sun, SV Kalmady, N Sepehrvand, A Salimi, Y Nademi, K Bainey, ... NPJ Digital Medicine 6 (1), 21, 2023 | 13 | 2023 |
| An effective meaningful way to evaluate survival models S Qi, N Kumar, M Farrokh, W Sun, LH Kuan, R Ranganath, R Henao, ... arXiv preprint arXiv:2306.01196, 2023 | 10 | 2023 |
| Learning accurate personalized survival models for predicting hospital discharge and mortality of COVID-19 patients N Kumar, S Qi, LH Kuan, W Sun, J Zhang, R Greiner Scientific reports 12 (1), 4472, 2022 | 7 | 2022 |
| Multilabel 12-lead electrocardiogram classification using gradient boosting tree ensemble AW Wong, W Sun, SV Kalmady, P Kaul, A Hindle 2020 Computing in Cardiology, 1-4, 2020 | 7 | 2020 |
| Mathematical determination of the HIV-1 matrix shell structure and its impact on the biology of HIV-1 W Sun, E Reyes-Serratos, D Barilla, JRL Santos, M Bujold, S Graves, ... Plos one 14 (11), e0224965, 2019 | 7 | 2019 |
| Semi-surrogate modelling of droplets evaporation process via XGBoost integrated CFD simulations Y Yan, X Li, W Sun, X Fang, F He, J Tu Science of The Total Environment 895, 164968, 2023 | 6 | 2023 |
| SurvivalEVAL: A comprehensive open-source python package for evaluating individual survival distributions S Qi, W Sun, R Greiner Proceedings of the AAAI Symposium Series 2 (1), 453-457, 2023 | 6 | 2023 |
| Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale W Sun, SV Kalmady, N Sepehrvand, LM Chu, Z Wang, A Salimi, A Hindle, ... arXiv preprint arXiv:2211.10431, 2022 | 6 | 2022 |
| ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets W Sun, SV Kalmady, A Salimi, N Sepehrvand, E Ly, A Hindle, R Greiner, ... arXiv preprint arXiv:2210.06291, 2022 | 6 | 2022 |
| Development and validation of echocardiography-based machine-learning models to predict mortality A Valsaraj, SV Kalmady, V Sharma, M Frost, W Sun, N Sepehrvand, ... EBioMedicine 90, 2023 | 5 | 2023 |
| Improving the calibration of long term predictions of heart failure rehospitalizations using medical concept embedding S Kalmady, W Sun, J Ezekowitz, N Fine, J Howlett, A Savu, R Greiner, ... Survival Prediction-Algorithms, Challenges and Applications, 70-82, 2021 | 4 | 2021 |
| Challenging the Existing Model of the Hexameric HIV-1 Gag Lattice and MA Shell Superstructure: Implications for Viral Entry JRL Santos, W Sun, TA Mangukia, E Reyes-Serratos, M Marcet-Palacios Viruses 13 (8), 1515, 2021 | 3 | 2021 |
| Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data V Agrawal, SV Kalmady, VM Malipeddi, MV Manthena, W Sun, S Islam, ... arXiv preprint arXiv:2405.00725, 2024 | 2 | 2024 |
| Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level SV Kalmady, A Salimi, W Sun, N Sepehrvand, Y Nademi, K Bainey, ... NPJ Digital Medicine 7 (1), 133, 2024 | 1 | 2024 |
| Supervised Electrocardiogram (ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction Y Nademi, SV Kalmady, W Sun, S Qi, A Hindle, P Kaul, R Greiner Machine Learning for Health (ML4H), 368-384, 2023 | 1 | 2023 |
| Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case Y Nademi, SV Kalmady, W Sun, A Salimi, A Hindle, P Kaul, R Greiner 2023 19th International Symposium on Medical Information Processing and …, 2023 | 1 | 2023 |
| An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS) W Sun, S Iwuchukwu, AA Bangash, A Hindle 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 1 | 2023 |
| Predicting Individual Survival Distributions Using ECG: A Deep Learning Approach Utilizing Features Extracted by a Learned Diagnostic Model W Sun, SV Kalmady, S Qi, N Sepehrvand, A Hindle, R Greiner, P Kaul Proceedings of the AAAI Symposium Series 2 (1), 475-481, 2023 | 1 | 2023 |
| Learning Models for Diagnosis and Prognosis from Electrocardiogram Data W Sun | 1 | 2023 |
| Diagnostic and Prognostic Models Based on Electrocardiograms for Rapid Clinical Applications MS Islam, SV Kalmady, A Hindle, R Sandhu, W Sun, N Sepehrvand, ... Canadian Journal of Cardiology, 2024 | | 2024 |
Sunil V KalmadyAdjunct Professor, Dept of Computing Science, University of AlbertaVerified email at ualberta.ca
