Sunil Vasu Kalmady

According to our database, Sunil Vasu Kalmady authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level.

Sunil Vasu Kalmady, Amir Salimi, Weijie Sun, Nariman Sepehrvand, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Abram Hindle, Finlay A. McAlister, Russell Greiner, Roopinder K. Sandhu, Padma Kaul

npj Digit. Medicine, 2024

Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data.

Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Saiful Islam, Abram Hindle, Padma Kaul, Russell Greiner

CoRR, 2024

Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data.

Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Md. Saiful Islam, Abram Hindle, Padma Kaul, Russell Greiner

Proceedings of the 2024 8th International Conference on Medical and Health Informatics, 2024

2023

Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms.

Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Amir Salimi, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Russell Greiner, Abram Hindle, Finlay A. McAlister, Roopinder K. Sandhu, Padma Kaul

npj Digit. Medicine, 2023

Exploring Best Practices for ECG Signal Processing in Machine Learning.

Amir Salimi, Sunil Vasu Kalmady, Abram Hindle, Osmar Zaïane, Padma Kaul

CoRR, 2023

Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case.

Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Amir Salimi, Abram Hindle, Padma Kaul, Russell Greiner

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Supervised Electrocardiogram(ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction.

Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Shiang Qi, Abram Hindle, Padma Kaul, Russell Greiner

Proceedings of the Machine Learning for Health, 2023

2022

Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study.

Rohan Panda, Sunil Vasu Kalmady, Russell Greiner

Frontiers Neuroinformatics, 2022

Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale.

Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Luan Manh Chu, Zihan Wang, Amir Salimi, Abram Hindle, Russell Greiner, Padma Kaul

CoRR, 2022

ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets.

Weijie Sun, Sunil Vasu Kalmady, Amir Salimi, Nariman Sepehrvand, Eric Ly, Abram Hindle, Russell Greiner, Padma Kaul

CoRR, 2022

2021

Improving the Calibration of Long Term Predictions of Heart Failure Rehospitalizations using Medical Concept Embedding.

Sunil Vasu Kalmady, Weijie Sun, Justin A. Ezekowitz, Nowell Fine, Jonathan Howlett, Anamaria Savu, Russ Greiner, Padma Kaul

Proceedings of AAAI Symposium on Survival Prediction, 2021

Multilabel 12-Lead Electrocardiogram Classification Using Beat to Sequence Autoencoders.

Alexander William Wong, Amir Salimi, Abram Hindle, Sunil Vasu Kalmady, Padma Kaul

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble.

Alexander William Wong, Weijie Sun, Sunil Vasu Kalmady, Padma Kaul, Abram Hindle

Proceedings of the Computing in Cardiology, 2020