Publications

Publications

  1. Alijanpourotaghsara A., Mirpour K., Choi J.W., Chitta K.K., Shalaby A., Boswell M.*, Chilukuri S., Cohen S.L.*, Byon R.*, Benam M., Kariv S., Lee J., Duncan D., Pouratian N., B(RAIN)^2—BRAIN Integrated Resource for Anatomy and Intracranial Neurophysiology, Scientific Data, 2025; 12(1), 442.
  2. Iyer S., Jones K.M., Robinson J.O., Provenza N.R., Duncan D., Lazaro-Munoz G., McGuire A.L., Sheth S.A., Majumder M.A., The BRAIN Initiative data-sharing ecosystem: Characteristics, challenges, benefits, and opportunities, eLife, 2024; vol. 13, e94000.
  3. Bruckhaus A.*, Asifriyaz T.*, Kriukova K.*, Galanopoulou A., Agoston D., Staba R., Jones N., Moshe S., O'Brien T., Duncan D., Exploring Multimodal Biomarker Candidates of Post-Traumatic Epilepsy Following Moderate to Severe Traumatic Brain Injury: A Systematic Review and Meta-Analysis, Epilepsia, 2024; 66(1), 6-32.
  4. Bruckhaus A.*, Bennett A.*, Brawer-Cohen M.*, Sinclair M., Ramirez-De La Cruz G., Ragusa G., Duncan D., Evaluation of Students' Digital Literacy through an Immersive University-High School Collaboration, Frontiers in Education, 2024, vol. 9, p. 1429893.
  5. Carbone P.*, Alba C.*, Bennett A.*, Kriukova K.*, Duncan D., Optimizing Automated Brain Extraction for Traumatic Brain Injury: The Role of Intensity Normalization and Bias-field Correction, Algorithms, 2024;17(7):281.
  6. Akbar N., Ruf S.F., Faghihpirayesh R., Singh A., Garner R.*, Bennett A.*, Alba C.*, La Rocca M.*, Im- biriba T., Ergogmus D., Duncan D., Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data, Computerized Medical Imaging and Graphics, 2024;115: 102386.
  7. Garg A.*, Shray A.*, Duncan D., CoSev: High Dimensional Low Sample Optimizations for Data-Driven COVID-19 Severity Analysis via Lung CT Scans and Convolutional Neural Networks, Machine Learning and Artificial Intelligence in Diagnostics. January 2024, in press.
  8. Bruckhaus A.*, Khan A.*, Pickering T.A., Abedi A., Salehi S.*, Duncan D., COVID-19 vaccination dynamics in the US: coverage velocity and carrying capacity based on socio-demographic vulnerability indices in California’s pediatric population. Frontiers in Public Health. 2023;11:1252668.
  9. Bruckhaus A.*, Abedi A., Salehi S.*, Pickering T.A., Zhang Y.*, Duncan D., Relationships between COVID-19 healthcare outcomes and county characteristics in the U.S. for the Delta (B.1.617.2) and Omicron (B.1.1.529 and BA.1.1) variants (CCPH-2022-0211), Frontiers in Public Health, 2023;11:1252668.
  10. Subash P.*, Gray A.*, Boswell M.*, Cohen S.*, Garner R.*, Salehi S.*, Fisher C., Hobel S., Ghosh S., Halchenko Y., Dichter B., Poldrack R., Markiewicz C., Hermes D., Delorme A., Makeig S., Behan B., Sparks A., Arnott S., Wang Z., Magnotti J., Beauchamp M., Pouratian N., Toga A.W., Duncan D., A Comparison of Neuroelectrophysiology Databases, Scientific Data. October 2023.
  11. Bhagavatula S.*, Cabeen R., Garner R.*, Ndode-Ekane X.E., Andrade P., Paananen T., Ciszek R., Immonen R., Manninen E., Gröhn O., Puhakka N., Tohka J., Heiskanen M., Wright D.K., Ali I., Shultz S.R., Casillas-Espinosa P.M., Yamakawa G.R, Jones N.C, Hudson M.R., Silva J.C., Braine E.L, Brady R.D., Harris N.G., Santana-Gomez C.E., Smith G.D., Staba R., O'Brien T.J., Pitkänen A., Duncan D., Image Data Harmonization Tools for the Analysis of Posttraumatic Epilepsy Development in Preclinical Multisite MRI Studies, Epilepsy Research. 2023;195:107201.
  12. Bruckhaus A.A.*, Abedi A., Salehi S.*, Pickering T.A., Zhang Y.*, Martinez A.*, Lai M.*, Garner R.*, Duncan D.(2022). COVID-19 vaccination dynamics in the US: coverage velocity and carrying capacity based on socio-demographic vulnerability indices in California. Journal of Immigrant and Minority Health.1-13. 2023.
  13. Bennett A.*, Garner R.*, Morris M., La Rocca M.*, Barisano G., Cua R., Loon J., Carbone P.*, Gao S., Pantoja A., Khan A.*, Nouaili N.*, Vespa P., Toga A.W., Duncan D., Manual lesion segmentations for traumatic brain injury characterization. Frontiers in Neuroimaging. 2:14. 2023.
  14. La Rocca M.*, Barisano G., Garner R.*, Ruf S.F., Amoroso N, Monti M., Vespa P., Bellotti R., Erdogmus D., Toga A.W., Duncan D., Functional connectivity alterations in traumatic brain injury patients with late seizures, Neurobiology of Disease.106053. 2023.
  15. Duncan D., Garner R.*, Brinkerhoff S., Walker H.C., Pouratian N., Toga A.W. Data Archive for the BRAIN Initiative (DABI), Scientific Data. 2023. Doi: 10.1038/s41597-023-01972-z. PMID: 36759619.
  16. Duncan D., Garner R.*, Bennett A.*, Sinclair M., Ramirez-De La Cruz G., & Pasik-Duncan B. Interdisciplinary K-12 Control Education in Biomedical and Public Health Applications. IFAC-PapersOnLine, 55(17), 242-248. 2022.
  17. Macaulay T.R., Hegarty A., Yan L., Duncan D., Pa J., Kutch J.J., La Rocca M.*, Lane C.J., Schroeder E.T., Effects of a 12-Week Periodized Resistance Training Program on Resting Brain Activity and Cerebrovascular Function: A Nonrandomized Pilot Trial, Neuroscience Insights. Vol.17. 2022. Doi: 10.1177/26331055221119441. PMID: 35983377.
  18. Marimuthu R., Stapleton L., Pasik-Duncan B., Gupta S., Duncan D., Challenging the digital divide: factors affecting the availability, adoption and acceptance of future technology in marginalized communities, Computer. Vol.55(7):56-66. 2022.
  19. Khan A.*, Garner R.*, La Rocca M.*, Duncan D., A Novel Threshold-Based Segmentation Method for Quantification of COVID-19 Lung Infection. Signal, Image and Video Processing. Vol.28:1-8. 2022. doi: 10.1007/s11760-022-02183-6. PMID: 35371333; PMCID: PMC8958480.
  20. Garg A.*, Salehi S.*, La Rocca M.*, Garner R.*, Duncan D., Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT. Expert Systems with Applications. Vol. 195:116540. 2022. doi: 10.1016/j.eswa.2022.116540. PMID: 35075334; PMCID: PMC8769906.
  21. Yildiz I.*, Garner R.*, Lai M.*, Duncan D., Unsupervised Seizure Identification on EEG. Computer Methods and Programs in Biomedicine. Vol.215:106604. 2021. doi: 10.1016/j.cmpb.2021.106604. PMID: 34999533.
  22. Bruckhaus A.*, Martinez A.*, Garner R.*, La Rocca M.*, Duncan D., Post-Lockdown Infection Rates of COVID-19 Following the Reopening of Public Businesses. Journal of Public Health. Vol.44(1):e51-e58. 2021. doi: 10.1093/pubmed/fdab325. PMID: 34426837; PMCID: PMC8499779.
  23. La Rocca M.*, Barisano G., Bennett A.*, Garner R.*, Engel J., Gilmore E.J., McArthur D.L., Rosenthal E., Stanis J., Vespa P., Willyerd F., Zimmerman L., Toga A.W., Duncan D., Distribution and Volume Analysis of Early Hemorrhagic Contusions by MRI After Traumatic Brain Injury: A Preliminary Report of the Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx). Brain Imaging and Behavior. Vol.15(6):2804-2812. 2022. doi: 10.1007/s11682-021-00603-8. Epub 2022 Jan 5. PMID: 34985618; PMCID: PMC9433738.
  24. Macaulay T.R., Pa J., Kutch J.J., Lane C.J., Duncan D., Yan L., Schroeder E.T., 12 Weeks of Strength Training Improves Fluid Cognition in Older Adults: a Nonrandomized Pilot Trial. PLOS ONE. Vol.16(7):e0255018. 2021. doi: 10.1371/journal.pone.0255018. PMID: 34293060; PMCID: PMC8297768.
  25. Duncan D., COVID-19 Data Sharing and Collaboration. Communications in Information and Systems. Vol. 21(3):325-340. 2021.
  26. La Rocca M.*, Garner R.*, Lutkenhoff E.S., Monti M.M., Amoroso N., Vespa P., Toga A.W., Duncan D., Multiplex Networks to Characterize Seizure Development in Traumatic Brain Injury Patients. Frontiers in Neuroscience. Vol.14:591662. 2020. doi: 10.3389/fnins.2020.591662. PMID: 33328863; PMCID: PMC7734183.
  27. Bellantuono L., Marzano L., La Rocca M.*, Duncan D., Lombardi A., Maggipinto T., Monaco A., Tangaro S., Amoroso N., Bellotti R., Predicting brain age with complex networks: From adolescence to adulthood. Neuroimage. Vol. 225:117458. 2021 doi: 10.1016/j.neuroimage.2020.117458. PMID: 33099008.
  28. Lutkenhoff E.S., Shrestha V., Tejeda J.R., Real C., McArthur D.L., Duncan D., La Rocca M.*, Garner R.*, Toga A.W., Vespa P.M., Monti M.M., Early Brain Biomarkers of Post-traumatic Epilepsy: Initial Report of the Multicenter Epilepsy Bioinformatics Study for Anti-epileptogenic Therapy (EpiBioS4Rx) Prospective Study. Journal of Neurology, Neurosurgery, and Psychiatry. Vol. 91(11):1154-1157. 2020. doi: 10.1136/jnnp-2020-322780. PMID: 32848013; PMCID: PMC7572686.
  29. Garner R.*, La Rocca M.*, Vespa P., Jones N., Monti M.M., Toga A.W., Duncan D., Imaging Biomarkers of Posttraumatic Epileptogenesis. Epilepsia. Vol. 60(11):2151-2162, 2019. doi: 10.1111/epi.16357. PMID: 31595501; PMCID: PMC6842410.
  30. Immonen R., Pitkanen A., Santana Gomez C., Branch C., Wright D., Duncan D., Manninen E., Smith G., Ali I., Johnston L., Harris N., Puhakka N., Grohn O., Casillas-Espinosa PM., Andrade P., Salo R., Brady R.D., Staba R., Cabeen R., Shultz S., O'Brien T.J., Ndode-Ekane X.E., Toga A., Harmonization of Pipeline for Preclinical Multicenter MRI Biomarker Discovery in a Rat Model of Post-traumatic Epileptogenesis. Epilepsy Research. Vol.150:46-57, 2019. doi: 10.1016/j.eplepsyres.2019.01.001. PMID: 30641351; PMCID: PMC6818721.
  31. Duncan D., Barisano G., Cabeen R., Sepehrband F., Garner R.*, Braimah A.*, Vespa P., Pitkanen A., Law M., Toga A., Analytic tools for post-traumatic epileptogenesis biomarker search in multimodal dataset of an animal model and human patients, Frontiers in Neuroinformatics. Vol.12:86, 2018. doi: 10.3389/fninf.2018.00086. PMID: 30618695; PMCID: PMC6307529.
  32. Vespa P.M., Shrestha V., Abend N., Agoston D., Au A., Bell M.J., Bleck T.P., Blanco M.B., Claassen J, Diaz-Arrastia R., Duncan D., Ellingson B., Foreman B., Gilmore E.J., Hirsch L., Hunn M., Kamnaksh A., McArthur D., Morokoff A., O’Brien T., O’Phelan K., Robertson C.L., Rosenthal E., Staba R., Toga A., Willyerd F.A., Zimmermann L., Yam E., Martinez S., Real C., Engel J., The epilepsy bioinformatics study for anti-epileptogenic therapy (EpiBioS4Rx) clinical biomarker: Study design and protocol, Neurobiology of disease. 2018 July 23.
  33. Duncan D., Garner R.*, Zrantchev I.*, Ard T., Newman B., Saslow A., Wanserski E., Toga A., Using Virtual Reality to Improve Performance and User Experience in Manual Correction of MRI Segmentation Errors by Non-experts. Journal of Digital Imaging. Vol.32(1):97-104, 2018. doi: 10.1007/s10278-018-0108-5. PMID: 30030766; PMCID: PMC6382628.
  34. Tubi M. A., Lutkenhoff E., Buitrago Blanco M., McArthur D., Villablanca P., Ellingson B., Diaz-Arrastia R., Van Ness P., Real C., Shrestha V., Engel J. Jr., Vespa P. M., Agoston D., Au A., Bell M. J., Bleck T., Branch C., Buitrago Blanco M., Bullock R., Burrows B. T., Claassen J., Clarke R., Cloyd J., Coles L., Crawford K., Diaz-Arrastia R., Duncan D.,Ellingson B., Engel J., Foreman B., Galanopoulou A., Gilmore E., Olli G., Harris N., Hartings J., Lawrence H., Hunn M., Jette N., Johnston L., Jones N., Kanner A., McArthur D., Monti M., Morokoff A., Moshe S., Mowrey W., O’Brien T., O’Phelan K., Pitkanen A., Raman R., Robertson C., Rosenthal E., Shultz S., Snutch T., Staba R., Toga A., Van Horn J., Vespa P., Willyerd F., Zimmermann L., Early seizures and temporal lobe trauma predict post-traumatic epilepsy: A longitudinal study, Special Issue on ‘Antiepileptogenesis following traumatic brain injury’, Neurobiology of Disease, 2018 June.
  35. Duncan D., Vespa P., Pitkanen A., Braimah A., Lapinlampi N., Toga A., Big Data Sharing and Analysis to Advance Research in Traumatic Brain Injury, Special Issue on ‘Antiepileptogenesis Following Traumatic Brain Injury.' Neurobiology of Disease. Vol.123:127-136, 2018. doi: 10.1016/j.nbd.2018.05.026. PMID: 29864492; PMCID: PMC6274619.
  36. Duncan D., Vespa P., Toga A., Detecting Features of Epileptogenesis in EEG After TBI Using Unsupervised Diffusion Component Analysis. Mathematical Biosciences and Engineering. Vol.23(1):161-172, 2018. doi: 10.3934/dcdsb.2018010. PMID: 30369835; PMCID: PMC6200402.
  37. Duncan D., Newman B., Saslow A., Wanserski E., Ard T., Essex R., Toga A., VRAIN: Virtual Reality Assisted Intervention for Neuroimaging. Virtual Reality (VR), IEEE. p.467-468, 2017. doi: 10.1109/VR.2017.7892382.
  38. Ard T., Krum D.M., Phan T., Duncan D., Essex R., Bolas M., Toga A., NIVR: Neuro Imaging in Virtual Reality. Virtual Reality (VR), IEEE. 465-466, 2017.
  39. Duncan D., and Strohmer T., Classification of Alzheimer’s Disease Using Unsupervised Diffusion Component Analysis. Mathematical Biosciences and Engineering. Vol.13(6):1119 1130, 2016. doi: 10.3934/mbe.2016033. PMID: 27775370.
  40. Joshi R.B., Gaspard N., Goncharova I., Duckrow R.B., Duncan D., Gerrard J.L., Spencer D.D., Hirsch L.J., Zaveri H.P., Regional and Network Relationship in the Intracranial EEG Second Spectrum. Clinical Neurophysiology. Vol.127(11):3485-3491, 2016. doi: 10.1016/j.clinph.2016.09.003. PMID: 27692590.
  41. Duncan D., Duckrow R.B., Pincus S.M., Goncharova I., Hirsch L.J., Spencer D.D., Coifman R.R., Zaveri H.P., Reply to About the Electrophysiological Basis of Resting State Networks. Clinical Neurophysiology. Vol.125(8):1713-1714, 2013. doi: 10.1016/j.clinph.2013.12.098. PMID: 24440225.
  42. Duncan, D., Duckrow R.B., Pincus S.M., Goncharova I., Hirsch L.J., Spencer D.D., Coifman R.R., Zaveri H.P., Intracranial EEG Evaluation of Relationship Within a Resting State Network. Clinical Neurophysiology. Vol.124(10):1943-1951, 2013. doi: 10.1016/j.clinph.2013.03.028. PMID: 23790525.
  43. Duncan D., Talmon R., Zaveri H.P., Coifman R.R., Identifying Preseizure State in Intracranial EEG Data Using Diffusion Kernels. Mathematical Biosciences and Engineering. Vol.10(3):579-590, 2013. doi: 10.3934/mbe.2013.10.579.
  44. Duncan D., Duckrow R.B., Coifman R.R., Zaveri H.P., Intracranial EEG Evaluation of a Resting State Network. Challenges of Modern Technology. Vol.1(1):27-29, 2010.

Conference Abstracts

  1. Alba C.*, Barisano G., Bennett A.*, Sharma A.*, Vespa P., Duncan D., Enlarged Perivascular Spaces in Frontal and Temporal Cortical Regions Characterize Seizure Outcome after Traumatic Brain Injury. 21st IEEE International Symposium on Biomedical Imaging (ISBI). May, 2024.
  2. Bhattacharya S.*, Bennett A.*, Alba C.*, Kriukova K.*, Duncan D., Unsupervised Seizure Detection in EEG Using Long Short Term Memory Network and Clustering. IEEE International Workshop on Machine Learning for Signal Processing. September, 2023.
  3. Cabeen, R.P., Immonen, R., Harris, N.G., Gröhn, O., Smith, G., Manninen, E., Garner, R.*, Duncan, D., Pitkänen, A. and Toga, A.W., A computational diffusion MRI framework for biomarker discovery in a rodent model of post-traumatic epileptogenesis. In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)(pp. 1013-1017). April, 2020.
  4. Garner, R.*, La Rocca, M.*, Barisano, G., Toga, A.W., Duncan, D. and Vespa, P., A machine learning model to predict seizure susceptibility from resting-state fMRI connectivity. In 2019 Spring Simulation Conference (SpringSim)(pp. 1-11). April, 2019.
  5. La Rocca M.*, Garner R.*, Duncan D., Machine Learning Model to Characterize Seizure Development in Traumatic Brain Injury Patients. 21st International Federation of Automatic Control (IFAC) World Congress. Vol.53(2):2231-2236, 2020. doi:10.1016/j.ifacol.2020.12.009.
  6. Liu J.*, Garner R.*, La Rocca M.*, Bae E.K., Duncan D., The Effects of Filtering on High Frequency Oscillation Classification. Proceedings of the IEEE Modeling and Simulation in Medicine Symposium (Society for Computer Simulation International). p.2020. doi: 10.22360/SpringSim.2020.MSM.008.
  7. Fang J., Duncan D., Morse A.S., Sequential Localization with Inaccurate Measurements. American Control Conference Proceedings, IEEE. p.1970-1975, 2009. doi: 10.4018/978-1 60566-396-8.
  8. Pasik-Duncan B., Whiffen P., Duncan D., The Power, Beauty and Excitement of a Field that Spans Science, Technology, Engineering and Mathematics. American Control Conference Proceedings, IEEE. p.26-26, 2009. doi: 10.1109/ACC.2009.5159782.
  9. Duncan, D. and Pasik-Duncan, B., From the Brain to the Stock Market. Proceedings of Special Control Education Workshop, 17th IFAC World Congress. 2008. doi: 10.1109/CDC.2007.4434001.
  10. Pasik-Duncan, B. and Duncan, D., Undergraduate's Partnership with K-12. Proceedings of the 2002 American Control Conference, IEEE. Vol.2:1103-1104, 2002. doi: 10.1109/ACC.2002.1023224.

Reviews, Chapters, and Editorials

  1. Duncan D., Zhang Y.*, Garner R.*, Coronavirus Disease 2019 (COVID-19): Risk Stratification, chapter in textbook:Coronavirus Disease 2019 (COVID-19): A Clinical Guide, Wiley-Blackwell. 149-164. 2023.
  2. Eibschutz L.S., Bruckhaus A.A, Bennett A.*, Sackett C., Dave K., Cherukury S., Smith C.M., Duncan D., Global Impact of COVID-19 on Healthcare Systems, chapter in textbook: Coronavirus Disease 2019 (COVID-19): A Clinical Guide, Wiley-Blackwell. 615-650. 2023.
  3. Zhang Y.*, Garner R.*, Salehi S.*, La Rocca M.*, Duncan D., Molecular and Antigen tests, and Sample Types for Diagnosis of COVID-19: A Review, Future Virology. Vol.17(9):675-85. 2022. Doi: 10.2217/fvl-2021-0256. PMID: 35783674.
  4. Nouaili N.*, Garner R.*, Salehi S.*, La Rocca M.*, Duncan D., Key radiological features of COVID-19 chest CT scans with a focus on special subgroups: a literature review, Current Medical Imaging. Vol.19(5):442-55. 2022. doi: 10.2174/1573405618666220620125332. PMID: 35726407.
  5. Zhang Y.*, Garner R.*, Salehi S.*, La Rocca M.*, Duncan D., Association Between ABO Blood Types and Coronavirus Disease 2019 (COVID-19), Genetic Associations, and Underlying Molecular Mechanisms: A Literature Review of 23 Studies. Annals of Hematology. Vol. 100(5):1123-1132. 2021. doi: 10.1007/s00277-021-04489-w. PMID: 33686492; PMCID: PMC7939543.
  6. Kashdan E., Duncan D., Parnell A., Schattler H., Mathematical Methods in Systems Biology. Mathematical Biosciences and Engineering. Vol.13(6):i-ii, 2016. doi: 10.3934/mbe.201606i. PMID: 27775369.
  7. Fang J., Duncan D., Morse A.S., Sequential Localization with Inaccurate Measurements. Chapter in book: Localization Algorithms and Strategies for Wireless Sensor Networks, IGI Global, 2009.

Abstracts and Presentations

  1. Alba C.*, Barisano G., Bennett A.*, Sharma A.*, Adhikary A., Vespa P., Duncan D., Enlarged Perivascular Spaces Characterize Seizure Outcome after Traumatic Brain Injury. Winter Conference on Brain Research 2024. Breckenridge, Colorado, USA. January 27 - February 1, 2024.
  2. Sharma A.*, Bennett A.*, Alba C.*, Cui M-H., Saletti PG., Moshe SL., Liu W., Fleysher R., Branch CA., Galanopoulou AS., Duncan D., Computational framework for diffusion MRI data preprocessing for predictive biomarkers and therapies in post-traumatic epilepsy. Society for Neuroscience (SfN) Annual Meeting, 2023. Washington D.C., USA., November 11-15, 2023.
  3. Sharma A.*, Somodi A.*, Alba C.*, Bennett A.*, McArthur D., Engel J Jr., Vespa P., Duncan D., Identification of superficial white matter microstructural changes in late post-traumatic seizures. Organization for Human Brain Mapping (OHBM) Annual Meeting. Montreal, Canada. July 22-26, 2023.
  4. Bhagavatula S.*, Cabeen R., Garner R.*, Ndode-Ekane X.E., Andrade P., Paananen T., Ciszek R., Immonen R., Manninen E., Gröhn O., Puhakka N., Tohka J., Heiskanen M., Wright D.K., Ali I., Shultz S.R., Casillas-Espinosa P.M., Yamakawa G.R, Jones N.C, Hudson M.R., Silva J.C., Braine E.L, Brady R.D., Harris N.G., Santana-Gomez C.E., Smith G.D., Staba R., O'Brien T.J., Pitkänen A., Duncan D., Image Data Harmonization Tools for the Analysis of Posttraumatic Epilepsy Development in Preclinical Multisite MRI Studies. AES 2022 Annual Meeting in Nashville, Tennessee.
  5. Cohen S.*, Choi J, Pouratian N., Toga A.W., Duncan D., Exaggerated High-Beta Oscillations are Associated with Cortical Thinning at the Motor Cortex in Parkinson's Disease, In 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2023.
  6. Yildiz I.*, Zerveas G., Eickhoff C., Duncan D., Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG, IEEE 2022 International Conference on Machine Learning and Applications (ICMLA). December 2022, 1304-1311.
  7. Sharma A.*, Cabeen R., Bennett A.*, Garner R.*, Alba C.*, Ndode-Ekane X.E., Andrade P., Paananen T., Ciszek R., Immonen R., Manninen E., Puhakka N., Heiskanen M., Santana-Gomez C.E.,Smith G.D., Wright D., Ali I., Shultz S., Jones N., Harris N.G, Tohka J., Gröhn O., O'Brien T., Staba R.J., Pitkänen A., Duncan D., Characterization of Traumatic Brain Injury in Rodents using Diffusion-Weighted Imaging and Machine Learning Classifiers. Society for Neuroscience (SfN) Annual Meeting, 2022.
  8. Bennett A.*, Alba C.*, Garner R.*, Morris M.D., La Rocca M.*, Barisano G., Cua R., Loon J.*, Carbone P.*, Vespa P., Toga A.W., Duncan D., Comparative Analysis of Manual Lesion Segmentation Methods in Patients with Traumatic Brain Injury. Society for Neuroscience (SfN) Annual Meeting, 2022.
  9. Lee P.S.*, Lai M.*, Garner R.*, Duncan D., Comparison of Two Automated HFO Detection Methods in Patients with Traumatic Brain Injury. 51st Society for Neuroscience (SfN) Annual Meeting, 2022.
  10. Bennett A.*, Garner R.*, Morris M.D., La Rocca M.*, Barisano G., Cua R., Vespa P., Toga A.W., Duncan D., Subtle Lesion Characteristics are Promising Biomarkers for Seizure Development. Organization for Human Brain Mapping (OHBM) Annual Meeting, 2022.
  11. Salehi S.*, Garner R.*, Cohen S.*, Gray A.*, Subash P.*, Toga A.W., Pouratian P., Duncan D., Data Archive for the BRAIN Initiative: Data Harmonization and Standardization. 8th Annual BRAIN Initiative Investigators Meeting, 2022.
  12. Salehi S.*, Abedi A., Bruckhaus A.*, Duncan D., COVID-19 Vaccination Dynamics in the US: A Follow-up Study. 18th International Conference on Distributed Computing in Sensor Systems (DCOSS). p. 414-414, 2022. doi: 10.1109/DCOSS54816.2022.00073.
  13. Bennett A.*, Garner R.*, La Rocca M.*, Valehi A.*, Duncan D., Evaluation of Transfer Learning Models on Detection of COVID-19 Using Multi-Modal Data. 18th International Conference on Distributed Computing in Sensor Systems (DCOSS). pp. 415-415, 2022. doi: 10.1109/DCOSS54816.2022.00074.
  14. Bruckhaus A.*, Zhang Y.*, Abedi A., Salehi S.*, Duncan D., 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. 18th International Conference on Distributed Computing in Sensor Systems (DCOSS). p. 404-409, 2022. doi: 10.1109/DCOSS54816.2022.00071.
  15. Garner R.*, Bennett A.*, Sharma A.*, Morris M.D., La Rocca M.*, Barisano G., Cua R., Vespa P., Toga A.W., Duncan D., Multimodal Lesion Phenotyping Improves Seizure Outcome Classification after Traumatic Brain Injury: An EpiBioS4Rx Study. International Society for Magnetic Resonance (ISMRM-ESMRMB & ISMRT) 31st Annual Meeting, 2022.
  16. Yildiz I.*, Garner R.*, Duncan D., Automated Machine Learning-based Brain Lesion Segmentation on Structural MRI Acquired from Traumatic Brain Injury Patients. International Society for Magnetic Resonance (ISMRM-ESMRMB & ISMRT) 31st Annual Meeting, 2022.
  17. Garner R.*, Rabbini F., Hobel S., Magnotti J., Wang Z., Beauchamp M., Pouratian N., Toga A.W., Duncan D., Integrated Analytic and Machine Learning Framework to Leverage Electrophysiology Datasets in the Data Archive for the BRAIN Initiative. Winter Conference on Brain Research Annual Meeting, 2022. 
  18. Alba C.*, Sharma A.*, Garner R.*, Duncan D., on behalf of the Epibios4Rx investigators. Characterization of Posttraumatic Epilepsy Development in Traumatic Brain Injury Patients from Cortical Thickness Structural MRI [abstract]. 75th Annual Meeting of the American Epilepsy Society (AES), 2021.
  19. Yildiz I.*, Garner R.*, Vespa P., Duncan D., Fully-Automated MRI-Based Machine Learning Classification of Patients with and without Epileptic Seizures Following Traumatic Brain Injury. 50th Society for Neuroscience (SfN) Annual Meeting, 2021. 
  20. Garner R.*, Sharma A.*, La Rocca M.*, Barisano G., Cua R., Bennett A.*, Nouaili N.*, Vesialou E.*, Khan A.*, Toga A. W., Vespa P., Duncan D., Characterizing Phenotypic Variability in the Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx): Establishing Ground-Truths for Automated Lesion Segmentation. 50th Society for Neuroscience (SfN) Annual Meeting, 2021.
  21. Akbar M.N., Ruf S., La Rocca M.*, Garner R.*, Barisano G., Cua R., Vespa P., Erdogmus D., Duncan D., Machine Learning Classification of Post-Traumatic Seizures using Different Diffusion MRI Preprocessing Pipelines. Proceedings: MICCAI 2021 Workshop on Computational Diffusion MRI. Vol.13006. 2021. doi: 10.1007/978-3-030-87615-9_12.
  22. Faghihpirayesh R., Ruf S., La Rocca M.*, Garner R.*, Vespa P., Erdoğmuş D., Duncan D., Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning. 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). p. 302-305, 2021. doi: 10.1109/EMBC46164.2021.9630242.
  23. Sharma A.*, Garner R.*, La Rocca M.*, Alba C.*, Lee Y.*, Yang K.*, Brawer-Cohen M.*, Duncan D., Machine Learning of Diffusion-Weighted Imaging for Prediction of Seizure Susceptibility Following Traumatic Brain Injury. Proceedings of the IEEE 2021 Annual Modeling and Simulation Conference (ANNSIM), IEEE. p.1-9. 2021. doi: 10.23919/ANNSIM52504.2021.9552121.
  24. Akbar M.N, La Rocca M.*, Garner R.*, Duncan D., Erdogmus D., Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI, in Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) 2020.
  25. Garner R.*, La Rocca M.*, Barisano G., Vespa P., Toga A.W., Duncan D., Using Machine Learning to Assess Seizure Susceptibility After Traumatic Brain Injury. Pacific Rim Neuroimaging Conference, 2020.
  26. La Rocca M.*, Garner R.*, Duncan D., Machine Learning Model to Characterize Seizure Development in Traumatic Brain Injury Patients. 21st International Federation of Automatic Control (IFAC) World Congress. Vol.53(2):2231-2236, 2020. doi:10.1016/j.ifacol.2020.12.009.
  27. Liu J.*, Garner R.*, La Rocca M.*, Bae E.K., Duncan D., The Effects of Filtering on High Frequency Oscillation Classification. Proceedings of the IEEE Modeling and Simulation in Medicine Symposium (Society for Computer Simulation International). p.2020. doi: 10.22360/SpringSim.2020.MSM.008.
  28. Cabeen R.P., Immonen R., Harris N.G., Grohn O., Smith G., Manninen E., Garner R.*, Duncan D., Pitkanen A., Toga A.W., A Computational Diffusion MRI Framework for Biomarker Discovery in a Rodent Model of Post-traumatic Epileptogenesis. Proceedings of the International Symposium on Biomedical Imaging. p.1013-1017, 2020. doi: 10.1109/ISBI45749.2020.9098575.
  29. La Rocca M.*, Garner R.*, Vespa P., Toga A.W., Duncan D., Quantitative Methods to Study Posttraumatic Epilepsy. Pacific Rim Neuroimaging Conference, 2020. 
  30. Garner R.*, La Rocca M.*, Barisano G., Vespa P., Toga A.W., Duncan D., A Machine Learning Model to Predict Seizure Susceptibility from Resting-state fMRI Connectivity. Proceedings of the IEEE Modeling and Simulation in Medicine Symposium (Society for Computer Simulation International). 2019. doi: 10.23919/SpringSim.2019.8732859.
  31. Liu J.*, Garner R.*, La Rocca M.*, Toga A.W., Vespa P., Duncan D., A Novel Approach to Detect Early-Stage Epileptogenesis Via Nonlinear Analysis. 73rd Annual Meeting of the American Epilepsy Society (AES), 2019.
  32. La Rocca M.*, Barisano G., Bennett A.*, Garner R.*, Vespa P., Toga A.W., Duncan D., Lesion Volume in Traumatic Brain Injury Patients is Related to Seizure Development. 73rd Annual Meeting of the American Epilepsy Society (AES), 2019.
  33. La Rocca M.*, Garner R.*, Jann K., Kim H., Vespa P., Toga A.W., Duncan D., Machine Learning of Multimodal MRI to Predict the Development of Epileptic Seizures After Traumatic Brain Injury. 2nd International Conference on Medical Imaging with Deep Learning, 2019.
  34. Duncan D., Garner R.*, La Rocca M.*, Erdogmus D., Multimodal Signal Analysis for Post-Traumatic Epilepsy. International Federation of Automatic Control Advances in Control Education (IFAC-ACE) Meeting, 2019.
  35. La Rocca M.*, Barisano, G., Garner R.*, Vespa P., Toga, A.W., Duncan D., Study of brain connectivity changes to characterize epileptic seizures after traumatic brain injury. Organization of Human Brain Mapping (OHBM) Annual Meeting, 2019. 
  36. Duncan D., Garner R.*, Erdogmus D., Efficient MRI Segmentation of Traumatic Brain Injury Data using Active Learning. Organization of Human Brain Mapping (OHBM) Annual Meeting, 2019.
  37. Duncan D., Efficient MRI segmentation of traumatic brain injury data using active learning. Organization for Human Brain Mapping (OHBM) Annual Meeting. Rome, Italy. 2019.
  38. La Rocca M.*, Barisano G., Cabeen R., Vespa P., Toga A.W., Duncan D., Analysis of Automatically Extracted Structural Features to Describe Traumatic Brain Injury Severity. International Society for Magnetic Resonance in Medicine (ISMRM) 27th Annual Meeting, 2019.
  39. Duncan D., Multimodal signal analysis for post-traumatic epilepsy. International Federation of Automatic Control Advances in Control Education (IFAC-ACE) Meeting. Philadelphia, PA. 2019.
  40. Barisano G., Duncan D., Sepehrband F., Cabeen R., Kim H., Vespa P., Toga A.W., Law M., The Role of Paravascular Spaces for Epileptogenesis After Traumatic Brain Injury. Society for Neuroscience (SfN) Annual Meeting, 2018. 
  41. Duncan D., Quality control of MRI segmentation using virtual reality and crowdsourcing [dynamic poster presentation]. Society for Neuroscience (SfN) Annual Meeting. San Diego, CA. 2018.
  42. Cabeen R., Duncan D., Braimah A., Immonen R., Ndode-Ekane X., Grohn O., Wright D., Ali I., Brady R., Shultz S., Jones N., Casillas-Espinosa P., Santana-Gomez C., Staba R., Harris N., Smith G., Pitkanen A., O’Brien T.J., Engel J., Toga A.W., Developing Potential Quantitative Tractography Biomarkers of Epileptogenesis Following Experimental Traumatic Brain Injury. Society for Neuroscience (SfN) Annual Meeting, 2018. 
  43. Barisano G., Garner R., Zhao L., Xu J., Patel P., Sepehrband F., Duncan D., Law M., Zimmerman L., Willyerd F., Monti M., Vespa P., Toga A.W., Disrupted Default Mode Network Connectivity Following Traumatic Brain Injury: A Resting-State fMRI Study. 12th Annual Meeting of the American Society of Functional Neuroradiology, 2018.
  44. Duncan D., Barisano G., Toga A.W., Law M., Paravascular Spaces in Post-Traumatic Epilepsy Patients. Poster session presented at: Organization for Human Brain Mapping (OHBM) Annual Meeting, 2018.
  45. Duncan D., Paravascular spaces in post-traumatic epilepsy patients. Organization for Human Brain Mapping (OHBM) Annual Meeting. Singapore. 2018.
  46. Duncan D., Visualization and manual correction of brain segmentation failures using virtual reality. Organization for Human Brain Mapping (OHBM) Annual Meeting. Singapore. 2018
  47. Duncan D., Virtual Brain Segmenter [Exhibit booth]. Annual American Academy of Neurology (AAN) meeting. Los Angeles, CA. 2018.
  48. Duncan D., Identifying Epileptogenic Biomarkers after Traumatic Brain Injury using Diffusion Component Analysis. Society for Neuroscience (SfN) Annual Meeting. Washington, DC. 2017.
  49. Duncan D., Crowdsourcing Manual Validation of Algorithmically Segmented Brain Volumes through Virtual Reality. Organization of Human Brain Mapping (OHBM) annual meeting. Vancouver, Canada. 2017.
  50. Duncan D., Virtual Reality Assisted Intervention for Neuroimaging (VRAIN) [research demo]. IEEE VR 2017. Los Angeles, CA. 2017.
  51. Duncan D., Unsupervised Diffusion Component Analysis in Post-Traumatic Epilepsy. Society for Neuroscience (SfN) Annual Meeting. San Diego, CA. 2016.
  52. Duncan D., Classification of Alzheimer's Disease Using Nonlinear Independent Component Analysis. Society for Neuroscience (SfN) Annual Meeting. Washington, DC. 2014.
  53. Duncan D., Detecting Preseizure States in Intracranial EEG Data Using an Adaptation of Diffusion Maps. Society for Neuroscience (SfN) Annual Meeting. San Diego, CA. 2013.
  54. Duncan D., Nonlinear Factor Analysis of the EEG for Detection of Seizure Onset and Geometric Sensor Modeling, Yale University, 2013.
  55. Duncan D., Predicting Seizures in Intracranial EEG Data Using Diffusion Maps. Yale Epilepsy Retreat. Milford, CT. 2012.
  56. Duncan D., Relationship Analysis Using Intracranial EEG in Resting State Networks. Annual Society for Neuroscience (SfN) meeting. New Orleans, LA. 2012.
  57. Duncan D., Predicting Seizures in Intracranial EEG Data Using Diffusion Maps. Challenges in Geometry, Analysis, and Computation: High-Dimensional Synthesis conference. Yale University. New Haven, CT. 2012.
  58. Duncan D., A Lack of Intracranial EEG Support for a Resting State Network Observed with fMRI. American Epilepsy Society Annual Meeting. Baltimore, MD. 2011.
  59. Duncan D., A Possible Lack of Intracranial EEG Support for a Resting State Network Observed with fMRI. Yale Epilepsy Retreat. Milford, CT. 2011.

*Lab Members