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2020 – today
- 2024
[j6]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)- 2023
- [j5]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) - [i3]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) - 2022
- [j4]Ilkay Yildiz, Rachael Garner, Matthew Lai, Dominique Duncan:
Unsupervised seizure identification on EEG. Comput. Methods Programs Biomed. 215: 106604 (2022) - [j3]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) - [c8]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 - 2021
- [c7]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 - [c6]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 - [c5]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
- [c4]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 - [c3]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 - [c2]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) - [c1]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)
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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