Dominique Duncan
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Cited by
Early seizures and temporal lobe trauma predict post-traumatic epilepsy: a longitudinal study
MA Tubi, E Lutkenhoff, MB Blanco, D McArthur, P Villablanca, B Ellingson, ...
Neurobiology of disease 123, 115-121, 2019
Identifying preseizure state in intracranial EEG data using diffusion kernels
D Duncan, R Talmon, HP Zaveri, RR Coifman
Mathematical Biosciences & Engineering 10 (3), 579, 2013
Big data sharing and analysis to advance research in post-traumatic epilepsy
D Duncan, P Vespa, A Pitkänen, A Braimah, N Lapinlampi, AW Toga
Neurobiology of disease 123, 127-136, 2019
Intracranial EEG evaluation of relationship within a resting state network
D Duncan, RB Duckrow, SM Pincus, I Goncharova, LJ Hirsch, ...
Clinical Neurophysiology 124 (10), 1943-1951, 2013
The epilepsy bioinformatics study for anti-epileptogenic therapy (EpiBioS4Rx) clinical biomarker: study design and protocol
PM Vespa, V Shrestha, N Abend, D Agoston, A Au, MJ Bell, TP Bleck, ...
Neurobiology of disease 123, 110-114, 2019
Harmonization of pipeline for preclinical multicenter MRI biomarker discovery in a rat model of post-traumatic epileptogenesis
R Immonen, G Smith, RD Brady, D Wright, L Johnston, NG Harris, ...
Epilepsy research 150, 46-57, 2019
Analytic tools for post-traumatic epileptogenesis biomarker search in multimodal dataset of an animal model and human patients
D Duncan, G Barisano, R Cabeen, F Sepehrband, R Garner, A Braimah, ...
Frontiers in neuroinformatics 12, 86, 2018
Using virtual reality to improve performance and user experience in manual correction of MRI segmentation errors by non-experts
D Duncan, R Garner, I Zrantchev, T Ard, B Newman, A Saslow, ...
Journal of digital imaging 32 (1), 97-104, 2019
Classification of Alzheimer's disease using unsupervised diffusion component analysis
D Duncan, T Strohmer
Mathematical Biosciences & Engineering 13 (6), 1119, 2016
Imaging biomarkers of posttraumatic epileptogenesis
R Garner, M La Rocca, P Vespa, N Jones, MM Monti, AW Toga, D Duncan
Epilepsia 60 (11), 2151-2162, 2019
A machine learning model to predict seizure susceptibility from resting-state fMRI connectivity
R Garner, M La Rocca, G Barisano, AW Toga, D Duncan, P Vespa
2019 Spring Simulation Conference (SpringSim), 1-11, 2019
NIVR: Neuro imaging in virtual reality
T Ard, DM Krum, T Phan, D Duncan, R Essex, M Bolas, A Toga
2017 IEEE Virtual Reality (VR), 465-466, 2017
Mathematical methods in systems biology
E Kashdan, D Duncan, A Parnell, H Schättler
Mathematical Biosciences & Engineering 13 (6), i, 2016
Detecting features of epileptogenesis in EEG after TBI using unsupervised diffusion component analysis
D Duncan, P Vespa, AW Toga
Discrete and continuous dynamical systems. Series B 23 (1), 161, 2018
Regional and network relationship in the intracranial EEG second spectrum
RB Joshi, N Gaspard, II Goncharova, RB Duckrow, D Duncan, JL Gerrard, ...
Clinical Neurophysiology 127 (11), 3485-3491, 2016
Sequential localization with inaccurate measurements
J Fang, D Duncan, AS Morse
Localization Algorithms and Strategies for Wireless Sensor Networks …, 2009
Predicting brain age with complex networks: From adolescence to adulthood
L Bellantuono, L Marzano, M La Rocca, D Duncan, A Lombardi, ...
NeuroImage 225, 117458, 2020
Machine learning of multimodal MRI to predict the development of epileptic seizures after traumatic brain injury
M La Rocca, R Garner, K Jann, H Kim, P Vespa, AW Toga, D Duncan
International Conference on Medical Imaging with Deep Learning--Extended …, 2019
VRAIN: Virtual reality assisted intervention for neuroimaging
D Duncan, B Newman, A Saslow, E Wanserski, T Ard, R Essex, A Toga
2017 IEEE Virtual Reality (VR), 467-468, 2017
Intracranial EEG Evaluation of a Resting State Network
D Duncan, RB Duckrow, RR Coifman, HP Zaveri
Challenges of Modern Technology 1, 2010
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Articles 1–20