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Qiao Li 0011
Person information
- affiliation: Emory University, Atlanta, GA, USA
Other persons with the same name
- Qiao Li — disambiguation page
- Qiao Li 0001
— Xiamen University, China (and 1 more)
- Qiao Li 0002
- Qiao Li 0003
- Qiao Li 0004
- Qiao Li 0005
- Qiao Li 0006 — National University of Defense Technology, Changsha, China
- Qiao Li 0007 — Shaanxi Normal University, Xi'an, China
- Qiao Li 0008 — University College London, UK
- Qiao Li 0009 — University of Ottawa, Canada
- Qiao Li 0010 — Shanghai Jiao Tong University, China
- Qiao Li 0012 — Carnegie Mellon University, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA
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2020 – today
- 2024
- [j5]Ali Bahrami Rad
A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs. Sensors 24(17): 5708 (2024) - 2023
- [c13]Li-Wei H. Lehman, Benjamin Moody, Harsh Deep, Feng Wu, Hasan Saeed, Lucas McCullum, Diane Perry, Tristan Struja, Qiao Li, Gari D. Clifford, Roger G. Mark:
VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors. NeurIPS 2023 - [i2]Mircea Dumitru, Qiao Li, Erick Andres Perez-Alday, Ali Bahrami Rad, Gari D. Clifford, Reza Sameni:
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising. CoRR abs/2301.02607 (2023) - 2022
- [c12]Lucas McCullum
PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms. CinC 2022: 1-4 - 2021
- [j4]Ayse S. Cakmak
Classification and Prediction of Post-Trauma Outcomes Related to PTSD Using Circadian Rhythm Changes Measured via Wrist-Worn Research Watch in a Large Longitudinal Cohort. IEEE J. Biomed. Health Informatics 25(8): 2866-2876 (2021) - [c11]Matthew A. Reyna, Nadi Sadr, Erick Andres Perez-Alday, Annie Gu, Amit J. Shah, Chad Robichaux, Ali Bahrami Rad, Andoni Elola, Salman Seyedi, Sardar Ansari, Hamid Ghanbari, Qiao Li, Ashish Sharma, Gari D. Clifford:
Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021. CinC 2021: 1-4 - 2020
- [c10]Matthew A. Reyna, Erick Andres Perez-Alday, Annie Gu, Chengyu Liu, Salman Seyedi, Ali Bahrami Rad, Andoni Elola, Qiao Li, Ashish Sharma, Gari D. Clifford:
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. CinC 2020: 1-4 - [i1]Ayse S. Cakmak, Nina Thigpen, Garrett Honke, Erick Andres Perez-Alday, Ali Bahrami Rad, Rebecca Adaimi, Chia-Jung Chang, Qiao Li, Pramod Gupta, Thomas Neylan, Samuel A. McLean, Gari D. Clifford:
Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data. CoRR abs/2011.07406 (2020)
2010 – 2019
- 2018
- [c9]Mohammad M. Ghassemi, Benjamin Moody, Li-Wei H. Lehman, Christopher Song, Qiao Li, Haoqi Sun, M. Brandon Westover, Gari D. Clifford:
You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018. CinC 2018: 1-4 - 2017
- [c8]Supreeth Prajwal Shashikumar, Amit J. Shah
A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology. BHI 2017: 141-144 - [c7]Joachim A. Behar, Niclas Palmius, Jonathan Daly, Qiao Li, Fabiola Rizzatti, Lia Bittencourt
Sleep Questionnaires in Screening for Obstructive Sleep Apnea. CinC 2017 - [c6]Gari D. Clifford, Chengyu Liu
AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017. CinC 2017 - [c5]Chengyu Liu
Combining Multi-source Features and Support Vector Machine for Heart Rhythm Classification. CinC 2017 - 2016
- [c4]Chengyu Liu, Qiao Li, Gari D. Clifford:
Evaluation of the Accuracy and Noise Response of an Open-source Pulse Onset Detection Algorithm on Pulsatile Waveform Databases. CinC 2016 - [c3]Gari D. Clifford, Chengyu Liu, David B. Springer, Benjamin Moody, Qiao Li, Ricardo C. Abad, José Millet, Ikaro Silva, Alistair E. W. Johnson, Roger G. Mark:
Classification of Normal/Abnormal Heart Sound Recordings: the PhysioNet/Computing in Cardiology Challenge 2016. CinC 2016 - 2015
- [c2]Gari D. Clifford, Ikaro Silva, Benjamin Moody, Qiao Li, Danesh Kella
The PhysioNet/Computing in Cardiology Challenge 2015: Reducing False Arrhythmia Alarms in the ICU. CinC 2015: 273-276 - 2014
- [j3]Qiao Li, Cadathur Rajagopalan, Gari D. Clifford:
A machine learning approach to multi-level ECG signal quality classification. Comput. Methods Programs Biomed. 117(3): 435-447 (2014) - [j2]Qiao Li, Cadathur Rajagopalan, Gari D. Clifford:
Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach. IEEE Trans. Biomed. Eng. 61(6): 1607-1613 (2014) - 2013
- [j1]Joachim Behar, Julien Oster
ECG Signal Quality During Arrhythmia and Its Application to False Alarm Reduction. IEEE Trans. Biomed. Eng. 60(6): 1660-1666 (2013) - [c1]Julien Oster, Joachim Behar, Roberta Colloca, Qichen Li, Qiao Li, Gari D. Clifford:
Open Source Java-based ECG analysis Software and Android app for Atrial Fibrillation Screening. CinC 2013: 731-734
Coauthor Index
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last updated on 2024-12-03 21:18 CET by the dblp team
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