Haoqi Sun

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M. Brandon Westover, MD, PhDHarvard Medical School / Massachusetts General HospitalAdresse e-mail validée de mgh.harvard.edu
Robert Joseph ThomasBeth Israel Deaconess Medical CenterAdresse e-mail validée de bidmc.harvard.edu
Sydney S. CashAssociate Professor, Department of Neurology, Massachusetts General Hospital and Harvard UniversityAdresse e-mail validée de mgh.harvard.edu
Oluwaseun AkejuMGHAdresse e-mail validée de mgh.harvard.edu
Wolfgang GanglbergerPostdoctoral research fellow, BIDMC / Harvard Medical SchoolAdresse e-mail validée de bidmc.harvard.edu
Ryan A. TeshDept. of Neurology, Massachusetts General Hospital, Harvard Medical SchoolAdresse e-mail validée de mgh.harvard.edu
Balaji GoparajuNovartis Institutes of Biomedical ResearchAdresse e-mail validée de novartis.com
Jimeng SunProfessor at University of Illinois Urbana-ChampaignAdresse e-mail validée de illinois.edu
Alice D. LamMassachusetts General HospitalAdresse e-mail validée de mgh.harvard.edu
Andrew J. ColeMassachusetts General Hospital / Harvard Medical SchoolAdresse e-mail validée de mgh.harvard.edu
Siddharth BiswalGeorgia Institute of TechnologyAdresse e-mail validée de gatech.edu
Olga SourinaHead of Cognitive HCI Lab, FraunhoferIDM@NTU Center, Nanyang Technological UniversityAdresse e-mail validée de ntu.edu.sg
Guang-Bin HuangFull Professor, Nanyang Technological University, SingaporeAdresse e-mail validée de ntu.edu.sg
Sunil Belur NagarajFounder & CEOAdresse e-mail validée de heailthigence.com
K.G. van LeeuwenPhD candidate, Artificial Intelligence in Radiology, Radboud university medical centerAdresse e-mail validée de radboudumc.nl

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Haoqi Sun

Beth Israel Deaconess Medical Center, Harvard Medical School

Adresse e-mail validée de bidmc.harvard.edu - Page d'accueil

sleep electroencephalography neuroscience causal inference artificial intelligence


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	246	2018
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	160	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	152	2017
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	124	2020
Large-scale automated sleep staging H Sun, J Jia, B Goparaju, GB Huang, O Sourina, MT Bianchi, ... Sleep 40 (10), zsx139, 2017	104	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	94	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	87	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	79	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	55	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	54	2019
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	53	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	43	2021
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	43	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	42	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	41	2020
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	35	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	32	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	31	2020
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	29	2017
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	28	2019

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