Haoqi Sun
Haoqi Sun
Beth Israel Deaconess Medical Center, Harvard Medical School
Verified email at - Homepage
Cited by
Cited by
Expert-level sleep scoring with deep neural networks
S Biswal, H Sun, B Goparaju, MB Westover, J Sun, MT Bianchi
Journal of the American Medical Informatics Association 25 (12), 1643-1650, 2018
SLEEPNET: automated sleep staging system via deep learning
S Biswal, J Kulas, H Sun, B Goparaju, MB Westover, MT Bianchi, J Sun
arXiv preprint arXiv:1707.08262, 2017
You snooze, you win: the physionet/computing in cardiology challenge 2018
MM Ghassemi, BE Moody, LWH Lehman, C Song, Q Li, H Sun, RG Mark, ...
2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018
Development of expert-level automated detection of epileptiform discharges during electroencephalogram interpretation
J Jing, H Sun, JA Kim, A Herlopian, I Karakis, M Ng, JJ Halford, D Maus, ...
JAMA neurology 77 (1), 103-108, 2020
Large-scale automated sleep staging
H Sun, J Jia, B Goparaju, GB Huang, O Sourina, MT Bianchi, ...
Sleep 40 (10), zsx139, 2017
Brain age from the electroencephalogram of sleep
H Sun, L Paixao, JT Oliva, B Goparaju, DZ Carvalho, KG van Leeuwen, ...
Neurobiology of aging 74, 112-120, 2019
Interrater reliability of experts in identifying interictal epileptiform discharges in electroencephalograms
J Jing, A Herlopian, I Karakis, M Ng, JJ Halford, A Lam, D Maus, F Chan, ...
JAMA neurology 77 (1), 49-57, 2020
Sleep staging from electrocardiography and respiration with deep learning
H Sun, W Ganglberger, E Panneerselvam, MJ Leone, SA Quadri, ...
Sleep 43 (7), zsz306, 2020
Detection of mesial temporal lobe epileptiform discharges on intracranial electrodes using deep learning
M Abou Jaoude, J Jing, H Sun, CS Jacobs, KR Pellerin, MB Westover, ...
Clinical Neurophysiology 131 (1), 133-141, 2020
Expert-level automated sleep staging of long-term scalp electroencephalography recordings using deep learning
M Abou Jaoude, H Sun, KR Pellerin, M Pavlova, RA Sarkis, SS Cash, ...
Sleep 43 (11), zsaa112, 2020
Detecting abnormal electroencephalograms using deep convolutional networks
KG Van Leeuwen, H Sun, M Tabaeizadeh, AF Struck, M Van Putten, ...
Clinical neurophysiology 130 (1), 77-84, 2019
CoVA: an acuity score for outpatient screening that predicts coronavirus disease 2019 prognosis
H Sun, A Jain, MJ Leone, HS Alabsi, LN Brenner, E Ye, W Ge, YP Shao, ...
The Journal of infectious diseases 223 (1), 38-46, 2021
iPEAP: integrating multiple omics and genetic data for pathway enrichment analysis
H Sun, H Wang, R Zhu, K Tang, Q Gong, J Cui, Z Cao, Q Liu
Bioinformatics 30 (5), 737-739, 2014
Development and validation of forecasting next reported seizure using e‐diaries
DM Goldenholz, SR Goldenholz, J Romero, R Moss, H Sun, B Westover
Annals of neurology 88 (3), 588-595, 2020
Cortical responses to noninvasive perturbations enable individual brain fingerprinting
RA Ozdemir, E Tadayon, P Boucher, H Sun, D Momi, W Ganglberger, ...
Brain stimulation 14 (2), 391-403, 2021
Excess brain age in the sleep electroencephalogram predicts reduced life expectancy
L Paixao, P Sikka, H Sun, A Jain, J Hogan, R Thomas, MB Westover
Neurobiology of aging 88, 150-155, 2020
Association of sleep electroencephalography-based brain age index with dementia
E Ye, H Sun, MJ Leone, L Paixao, RJ Thomas, AD Lam, MB Westover
JAMA network open 3 (9), e2017357-e2017357, 2020
Burden of epileptiform activity predicts discharge neurologic outcomes in severe acute ischemic stroke
M Tabaeizadeh, H Aboul Nour, M Shoukat, H Sun, J Jin, F Javed, S Kassa, ...
Neurocritical care 32, 697-706, 2020
Automated tracking of level of consciousness and delirium in critical illness using deep learning
H Sun, E Kimchi, O Akeju, SB Nagaraj, LM McClain, DW Zhou, E Boyle, ...
NPJ digital medicine 2 (1), 89, 2019
Mobile EEG-based situation awareness recognition for air traffic controllers
LG Yeo, H Sun, Y Liu, F Trapsilawati, O Sourina, CH Chen, ...
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
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