Wolfgang Ganglberger
Wolfgang Ganglberger
Postdoctoral research fellow, BIDMC / Harvard Medical School
Verified email at
Cited by
Cited by
Sleep staging from electrocardiography and respiration with deep learning
H Sun, W Ganglberger, E Panneerselvam, MJ Leone, SA Quadri, ...
Sleep 43 (7), zsz306, 2020
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
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
Prolonged unconsciousness is common in COVID‐19 and associated with hypoxemia
G Waldrop, SA Safavynia, ME Barra, S Agarwal, DA Berlin, AK Boehme, ...
Annals of neurology 91 (6), 740-755, 2022
A Comparison of Rule-Based and Machine Learning Methods for Classification of Spikes in EEG.
W Ganglberger, G Gritsch, MM Hartmann, F Fürbass, H Perko, AM Skupch, ...
J. Commun. 12 (10), 589-, 2017
COVID-19 outpatient screening: a prediction score for adverse events
H Sun, A Jain, MJ Leone, HS Alabsi, L Brenner, E Ye, W Ge, YP Shao, ...
medRxiv, 2020
A machine learning approach to predict progression on active surveillance for prostate cancer
M Nayan, K Salari, A Bozzo, W Ganglberger, G Lu, F Carvalho, A Gusev, ...
Urologic Oncology: Seminars and Original Investigations 40 (4), 161. e1-161. e7, 2022
Automated scoring of respiratory events in sleep with a single effort belt and deep neural networks
TE Nassi, W Ganglberger, H Sun, AA Bucklin, S Biswal, MJAM van Putten, ...
IEEE transactions on biomedical engineering 69 (6), 2094-2104, 2021
Sample size analysis for machine learning clinical validation studies
DM Goldenholz, H Sun, W Ganglberger, MB Westover
Biomedicines 11 (3), 685, 2023
Algorithm for automatic detection of self-similarity and prediction of residual central respiratory events during continuous positive airway pressure
E Oppersma, W Ganglberger, H Sun, RJ Thomas, MB Westover
Sleep 44 (4), zsaa215, 2021
Sleep apnea and respiratory anomaly detection from a wearable band and oxygen saturation
W Ganglberger, AA Bucklin, RA Tesh, M Da Silva Cardoso, H Sun, ...
Sleep and Breathing, 1-12, 2021
Predicting survival after radical prostatectomy: Variation of machine learning performance by race
M Nayan, K Salari, A Bozzo, W Ganglberger, F Carvalho, AS Feldman, ...
The Prostate 81 (16), 1355-1364, 2021
Optimal spindle detection parameters for predicting cognitive performance
N Adra, H Sun, W Ganglberger, EM Ye, LW Dümmer, RA Tesh, ...
Sleep 45 (4), zsac001, 2022
Automated respiratory event detection using deep neural networks
TE Nassi, W Ganglberger, H Sun, AA Bucklin, S Biswal, MJAM van Putten, ...
arXiv preprint arXiv:2101.04635, 2021
Exploiting labels from multiple experts in automated sleep scoring
S Nasiri, W Ganglberger, H Sun, RJ Thomas, MB Westover
Sleep 46 (5), zsad034, 2023
Sleep staging in the ICU with heart rate variability and breathing signals. An exploratory cross-sectional study using deep neural networks
W Ganglberger, PV Krishnamurthy, SA Quadri, RA Tesh, AA Bucklin, ...
Frontiers in Network Physiology 3, 6, 2023
High prevalence of sleep-disordered breathing in the intensive care unit—a cross-sectional study
AA Bucklin, W Ganglberger, SA Quadri, RA Tesh, N Adra, ...
Sleep and Breathing 27 (3), 1013-1026, 2023
Dementia detection from brain activity during sleep
EM Ye, H Sun, PV Krishnamurthy, N Adra, W Ganglberger, RJ Thomas, ...
Sleep 46 (3), zsac286, 2023
Assessing risk of health outcomes from brain activity in sleep: a retrospective cohort study
H Sun, N Adra, MA Ayub, W Ganglberger, E Ye, M Fernandes, L Paixao, ...
Neurology: Clinical Practice 14 (1), e200225, 2024
Linking brain structure, cognition, and sleep: insights from clinical data
R Wei, W Ganglberger, H Sun, PN Hadar, RL Gollub, S Pieper, B Billot, ...
Sleep 47 (2), zsad294, 2024
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