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Dominique Duncan
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2020 – today
- 2024
- [j9]Patrick Carbone, Celina Alba, Alexis Bennett, Kseniia Kriukova, Dominique Duncan:
Optimizing Automated Brain Extraction for Moderate to Severe Traumatic Brain Injury Patients: The Role of Intensity Normalization and Bias-Field Correction. Algorithms 17(7): 281 (2024) - [j8]Md Navid Akbar, Sebastian F. Ruf, Ashutosh Singh, Razieh Faghihpirayesh, Rachael Garner, Alexis Bennett, Celina Alba, Marianna La Rocca, Tales Imbiriba, Deniz Erdogmus, Dominique Duncan:
Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data. Comput. Medical Imaging Graph. 115: 102386 (2024) - [c19]Samayan Bhattacharya, Kseniia Kriukova, Alexis Bennett, Celina Alba, Dominique Duncan:
Alzheimer's disease and Frontotemporal Dementia Prediction Using Variational Mode Decomposition and Machine Learning. CoDIT 2024: 1459-1462 - [c18]Celina Alba, Giuseppe Barisano, Alexis Bennett, Akul Sharma, Paul M. Vespa, Dominique Duncan:
Enlarged Perivascular Spaces in Frontal and Temporal Cortical Regions Characterize Seizure Outcome After Traumatic Brain Injury. ISBI 2024: 1-4 - 2023
- [j7]Azrin Khan, Rachael Garner, Marianna La Rocca, Sana Salehi, Dominique Duncan:
A Novel Threshold-Based Segmentation Method for Quantification of COVID-19 Lung Abnormalities. Signal Image Video Process. 17(4): 907-914 (2023) - [c17]Samantha L. Cohen, Jeong Woo Choi, Arthur W. Toga, Nader Pouratian, Dominique Duncan:
Exaggerated High-Beta Oscillations are Associated with Cortical Thinning at the Motor Cortex in Parkinson's Disease. EMBC 2023: 1-4 - [c16]Samayan Bhattacharya, Alexis Bennett, Celina Alba, Kseniia Kriukova, Dominique Duncan:
Unsupervised Seizure Detection in Eeg Using Long Short Term Memory Network and Clustering. MLSP 2023: 1-6 - [i5]Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan:
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. CoRR abs/2301.03470 (2023) - [i4]Priyanka Subash, Alex Gray, Misque Boswell, Samantha L. Cohen, Rachael Garner, Sana Salehi, Calvary Fisher, Samuel Hobel, Satrajit S. Ghosh, Yaroslav O. Halchenko, Benjamin K. Dichter, Russell A. Poldrack, Christopher J. Markiewicz, Dora Hermes, Arnaud Delorme, Scott Makeig, Brendan Behan, Alana Sparks, Stephen R. Arnott, Zhengjia Wang, John F. Magnotti, Michael S. Beauchamp, Nader Pouratian, Arthur W. Toga, Dominique Duncan:
A Comparison of Neuroelectrophysiology Databases. CoRR abs/2306.15041 (2023) - [i3]Karina Yang, Alexis Bennett, Dominique Duncan:
Robust and Interpretable COVID-19 Diagnosis on Chest X-ray Images using Adversarial Training. CoRR abs/2311.14227 (2023) - 2022
- [j6]Ilkay Yildiz, Rachael Garner, Matthew Lai, Dominique Duncan:
Unsupervised seizure identification on EEG. Comput. Methods Programs Biomed. 215: 106604 (2022) - [j5]Ramalatha Marimuthu, Shally Gupta, Larry Stapleton, Dominique Duncan, Bozenna Pasik-Duncan:
Challenging the Digital Divide: Factors Affecting the Availability, Adoption, and Acceptance of Future Technology in Elderly User Communities. Computer 55(7): 56-66 (2022) - [j4]Aksh Garg, Sana Salehi, Marianna La Rocca, Rachael Garner, Dominique Duncan:
Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CT. Expert Syst. Appl. 195: 116540 (2022) - [c15]Alexander Bruckhaus, Yujia Zhang, Aidin Abedi, Sana Salehi, Dominique Duncan:
Understanding the United States' 50 most populous counties' COVID-19 healthcare outcomes through multiple regression across the Delta variant and Omicron variant times of dominance. DCOSS 2022: 404-409 - [c14]Sana Salehi, Aidin Abedi, Alexander Bruckhaus, Dominique Duncan:
ABSTRACT: COVID-19 Vaccination Dynamics in the US: A Follow-up Study. DCOSS 2022: 414 - [c13]Alexis Bennett, Rachael Garner, Marianna La Rocca, Ali Valehi, Dominique Duncan:
ABSTRACT: Evaluation of Transfer Learning Models on Detection of COVID-19 Using Multi-Modal Data. DCOSS 2022: 415 - [c12]Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan:
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. ICMLA 2022: 1304-1311 - 2021
- [j3]Loredana Bellantuono, Luca Marzano, Marianna La Rocca, Dominique Duncan, Angela Lombardi, Tommaso Maggipinto, Alfonso Monaco, Sabina Tangaro, Nicola Amoroso, Roberto Bellotti:
Predicting brain age with complex networks: From adolescence to adulthood. NeuroImage 225: 117458 (2021) - [c11]Akul Sharma, Rachael Garner, Marianna La Rocca, Celina Alba, Yenlin Lee, Karina Yang, Maya Brawer-Cohen, Dominique Duncan:
Machine Learning of Diffusion Weighted Imaging for Prediction of Seizure Susceptibility Following Traumatic Brain Injury. ANNSIM 2021: 1-9 - [c10]Razieh Faghihpirayesh, Sebastian F. Ruf, Marianna La Rocca, Rachael Garner, Paul M. Vespa, Deniz Erdogmus, Dominique Duncan:
Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning. EMBC 2021: 302-305 - [c9]Md Navid Akbar, Sebastian F. Ruf, Marianna La Rocca, Rachael Garner, Giuseppe Barisano, Ruskin Cua, Paul M. Vespa, Deniz Erdogmus, Dominique Duncan:
Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI. CDMRI@MICCAI 2021: 133-143 - 2020
- [c8]Ryan P. Cabeen, Riikka J. Immonen, Neil G. Harris, Olli Gröhn, Gregory Smith, Eppu Manninen, Rachael Garner, Dominique Duncan, Asla Pitkänen, Arthur W. Toga:
A Computational Diffusion MRI Framework for Biomarker Discovery in a Rodent Model of Post-Traumatic Epileptogenesis. ISBI 2020: 1013-1017 - [c7]Md Navid Akbar, Marianna La Rocca, Rachael Garner, Dominique Duncan, Deniz Erdogmus:
Prediction of epilepsy development in traumatic brain injury patients from diffusion weighted MRI. PETRA 2020: 87:1-87:2 - [c6]Jiaju Liu, Rachael Garner, Marianna La Rocca, Eun-Kee Bae, Dominique Duncan:
The Effects of Filtering on High Frequency Oscillation Classification. SpringSim 2020: 1-11 - [i2]Md Navid Akbar, Marianna La Rocca, Rachael Garner, Dominique Duncan, Deniz Erdogmus:
Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI. CoRR abs/2004.14580 (2020) - [i1]Aksh Garg, Sana Salehi, Marianna La Rocca, Rachael Garner, Dominique Duncan:
Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT. CoRR abs/2012.11860 (2020)
2010 – 2019
- 2019
- [j2]Dominique Duncan, Rachael Garner, Ivan Zrantchev, Tyler Ard, Bradley Newman, Adam Saslow, Emily Wanserski, Arthur W. Toga:
Using Virtual Reality to Improve Performance and User Experience in Manual Correction of MRI Segmentation Errors by Non-experts. J. Digit. Imaging 32(1): 97-104 (2019) - [c5]Rachael Garner, Marianna La Rocca, Giuseppe Barisano, Arthur W. Toga, Dominique Duncan, Paul M. Vespa:
A Machine Learning Model to Predict Seizure Susceptibility from Resting-State fMRI Connectivity. SpringSim 2019: 1-11 - 2018
- [j1]Dominique Duncan, Giuseppe Barisano, Ryan P. Cabeen, Farshid Sepehrband, Rachael Garner, Adebayo Braimah, Paul M. Vespa, Asla Pitkänen, Meng Law, Arthur W. Toga:
Analytic Tools for Post-traumatic Epileptogenesis Biomarker Search in Multimodal Dataset of an Animal Model and Human Patients. Frontiers Neuroinformatics 12: 86 (2018) - 2017
- [c4]Tyler Ard, David M. Krum, Thai Phan, Dominique Duncan, Ryan Essex, Mark T. Bolas, Arthur W. Toga:
NIVR: Neuro imaging in virtual reality. VR 2017: 465-466 - [c3]Dominique Duncan, Brad Newman, Adam Saslow, Emily Wanserski, Tyler Ard, Ryan Essex, Arthur W. Toga:
VRAIN: Virtual reality assisted intervention for neuroimaging. VR 2017: 467-468
2000 – 2009
- 2009
- [c2]Jia Fang, Dominique Duncan, A. Stephen Morse:
Sequential localization with inaccurate measurements. ACC 2009: 1970-1975 - 2002
- [c1]Bozenna Pasik-Duncan, Dominique Duncan:
Undergraduate's partnership with K-12. ACC 2002: 1103-1107
Coauthor Index
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last updated on 2024-11-13 23:49 CET by the dblp team
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