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 | 28 | 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 | 24 | 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 | 14 | 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 | 13 | 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 | 11 | 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 | 10 | 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 | 10 | 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 | 9 | 2019 |
Classification of Alzheimer's disease using unsupervised diffusion component analysis D Duncan, T Strohmer Mathematical Biosciences & Engineering 13 (6), 1119, 2016 | 8 | 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 | 7 | 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 | 7 | 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 | 6 | 2017 |
Mathematical methods in systems biology E Kashdan, D Duncan, A Parnell, H Schättler Mathematical Biosciences & Engineering 13 (6), i, 2016 | 6 | 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 | 4 | 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 | 4 | 2016 |
Sequential localization with inaccurate measurements J Fang, D Duncan, AS Morse Localization Algorithms and Strategies for Wireless Sensor Networks …, 2009 | 4 | 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 | 3 | 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 | 3 | 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 | 2 | 2017 |
Intracranial EEG Evaluation of a Resting State Network D Duncan, RB Duckrow, RR Coifman, HP Zaveri Challenges of Modern Technology 1, 2010 | 2 | 2010 |