Weijie Sun

16 papers A* 1A 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
SEQSIM: A novel bioinformatics tool for comparisons of promoter regions - a case study of calcium binding protein spermatid associated 1 (CABS1).
BMC Bioinform.
Joy Ramielle L. Santos, Weijie Sun, A. Dean Befus, Marcelo Marcet-Palacios
2024 J jnl
Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level.
npj Digit. Medicine
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
2024 — conf
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data.
ICMHI
Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Md. Saiful Islam, Abram Hindle, Padma Kaul, Russell Greiner
2024 J jnl
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data.
CoRR
Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Saiful Islam, Abram Hindle, Padma Kaul, Russell Greiner
2024 J jnl
MENSA: A Multi-Event Network for Survival Analysis under Informative Censoring.
CoRR
Christian Marius Lillelund, Ali Hossein Gharari Foomani, Weijie Sun, Shiang Qi, Russell Greiner
2023 A* conf
An Effective Meaningful Way to Evaluate Survival Models.
ICML
Shiang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner
2023 J jnl
An Effective Meaningful Way to Evaluate Survival Models.
CoRR
Shiang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner
2023 A conf
An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS).
MSR
Weijie Sun, Samuel Iwuchukwu, Abdul Ali Bangash, Abram Hindle
2023 — conf
Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case.
SIPAIM
Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Amir Salimi, Abram Hindle, Padma Kaul, Russell Greiner
2023 — conf
Supervised Electrocardiogram(ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction.
ML4H@NeurIPS
Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Shiang Qi, Abram Hindle, Padma Kaul, Russell Greiner
2023 J jnl
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms.
npj Digit. Medicine
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
2022 J jnl
ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets.
CoRR
Weijie Sun, Sunil Vasu Kalmady, Amir Salimi, Nariman Sepehrvand, Eric Ly, Abram Hindle, Russell Greiner, Padma Kaul
2022 J jnl
Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale.
CoRR
Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Luan Manh Chu, Zihan Wang, Amir Salimi, Abram Hindle, Russell Greiner, Padma Kaul
2021 — conf
Improving the Calibration of Long Term Predictions of Heart Failure Rehospitalizations using Medical Concept Embedding.
SPACA
Sunil Vasu Kalmady, Weijie Sun, Justin A. Ezekowitz, Nowell Fine, Jonathan Howlett, Anamaria Savu, Russ Greiner, Padma Kaul
2020 — conf
Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble.
CinC
Alexander William Wong, Weijie Sun, Sunil Vasu Kalmady, Padma Kaul, Abram Hindle
2020 J jnl
Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble.
CoRR
Alexander William Wong, Weijie Sun, Sunil Vasu Kalmady, Padma Kaul, Abram Hindle