Yogatheesan Varatharajah

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Greg WorrellProfessor of Neurology and Physiology & Biomedical Engineering, Mayo ClinicDirección de correo verificada de mayo.edu
Benjamin H. Brinkmann Ph.D., FACNSMayo Clinic, Department of NeurologyDirección de correo verificada de mayo.edu
Vaclav Kremen, Assoc. Prof, M.Sc.Eng...Bioelectronics, Neurophysiology, and Engineering Lab, Mayo Clinic, Rochester, MN, USADirección de correo verificada de mayo.edu
Krishnakant SabooUniversity of California, San FranciscoDirección de correo verificada de ucsf.edu
Prashanthi VemuriMayo ClinicDirección de correo verificada de mayo.edu
Jan CimbalnikJunior Researcher, FNUSA-ICRCDirección de correo verificada de fnusa.cz
Neeraj WaghPhD Candidate, University of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Sam RawalMD Candidate, Carle Illinois College of MedicineDirección de correo verificada de illinois.edu
Hari GuragainDepartment of Neurology, Mayo Clinic, Rochester, MinnesotaDirección de correo verificada de lmco.com
MICHAEL R SperlingThomas Jefferson UniversityDirección de correo verificada de jefferson.edu
Boney JosephDepartment of Neurology, Mayo ClinicDirección de correo verificada de mayo.edu
David JonesMayo ClinicDirección de correo verificada de mayo.edu
Vijay K Ramanan, MD PhDCognitive Neurologist, Mayo Clinic MNDirección de correo verificada de mayo.edu
Jionghao WeiDirección de correo verificada de illinois.edu
Mona NasseriMayo clinicDirección de correo verificada de mayo.edu
Petr NejedlyInstitute of Scientific Instruments of the Czech Academy of ScienceDirección de correo verificada de isibrno.cz
Petr KlimesInstitute of Scientific Instruments of the Czech Academy of ScienceDirección de correo verificada de isibrno.cz
Christopher G. SchwarzAssistant Professor of Radiology, Mayo ClinicDirección de correo verificada de mayo.edu
Kathryn DavisUniversity of PennsylvaniaDirección de correo verificada de pennmedicine.upenn.edu
Bradley LegaUT SouthwesternDirección de correo verificada de utsouthwestern.edu

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Yogatheesan Varatharajah

University of Minnesota Twin Cities

Dirección de correo verificada de umn.edu - Página principal

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Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Deep-learning for seizure forecasting in canines with epilepsy P Nejedly, V Kremen, V Sladky, M Nasseri, H Guragain, P Klimes, ... Journal of neural engineering 16 (3), 036031, 2019	85	2019
Predicting short-term MCI-to-AD progression using imaging, CSF, genetic factors, cognitive resilience, and demographics Y Varatharajah, VK Ramanan, R Iyer, P Vemuri Scientific reports 9 (1), 2235, 2019	73	2019
Integrating artificial intelligence with real-time intracranial EEG monitoring to automate interictal identification of seizure onset zones in focal epilepsy Y Varatharajah, B Berry, J Cimbalnik, V Kremen, J Van Gompel, M Stead, ... Journal of neural engineering 15 (4), 046035, 2018	63	2018
Seizure forecasting and the preictal state in canine epilepsy Y Varatharajah, RK Iyer, BM Berry, GA Worrell, BH Brinkmann International journal of neural systems 27 (01), 1650046, 2017	59	2017
EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network N Wagh, Y Varatharajah Proceedings of the Machine Learning for Health NeurIPS Workshop 136, 367-378, 2020	56	2020
Visually validated semi-automatic high-frequency oscillation detection aides the delineation of epileptogenic regions during intra-operative electrocorticography SA Weiss, B Berry, I Chervoneva, Z Waldman, J Guba, M Bower, ... Clinical neurophysiology 129 (10), 2089-2098, 2018	42	2018
EEG-GRAPH: a factor-graph-based model for capturing spatial, temporal, and observational relationships in electroencephalograms Y Varatharajah, MJ Chong, K Saboo, B Berry, B Brinkmann, G Worrell, ... Advances in neural information processing systems 30, 2017	25	2017
Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance KV Saboo, Y Varatharajah, BM Berry, V Kremen, MR Sperling, KA Davis, ... Scientific reports 9 (1), 17390, 2019	23	2019
Domain-guided self-supervision of eeg data improves downstream classification performance and generalizability N Wagh, J Wei, S Rawal, B Berry, L Barnard, B Brinkmann, G Worrell, ... Machine Learning for Health, 130-142, 2021	19	2021
A contextual-bandit-based approach for informed decision-making in clinical trials Y Varatharajah, B Berry Life 12 (8), 1277, 2022	17	2022
Characterizing the electrophysiological abnormalities in visually reviewed normal EEGs of drug-resistant focal epilepsy patients Y Varatharajah, B Berry, B Joseph, I Balzekas, T Pal Attia, V Kremen, ... Brain Communications 3 (2), fcab102, 2021	14	2021
Quantitative analysis of visually reviewed normal scalp EEG predicts seizure freedom following anterior temporal lobectomy Y Varatharajah, B Joseph, B Brinkmann, M Morita‐Sherman, Z Fitzgerald, ... Epilepsia 63 (7), 1630-1642, 2022	13	2022
Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging KV Saboo, C Hu, Y Varatharajah, SA Przybelski, RI Reid, CG Schwarz, ... NeuroImage 251, 119020, 2022	10	2022
Inter-ictal Seizure Onset Zone localization using unsupervised clustering and Bayesian Filtering Y Varatharajah, BM Berry, ZT Kalbarczyk, BH Brinkmann, GA Worrell, ... 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 533-539, 2017	10	2017
Body area sensor network for evaluating fitness exercise Y Varatharajah, N Karunathilaka, M Rismi, S Kotinkaduwa, D Dias 6th Joint IFIP Wireless and Mobile Networking Conference (WMNC), 1-8, 2013	9	2013
Electrophysiological correlates of brain health help diagnose epilepsy and lateralize seizure focus Y Varatharajah, B Berry, B Joseph, I Balzekas, V Kremen, B Brinkmann, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020	8	2020
Predicting brain age using structural neuroimaging and deep learning Y Varatharajah, S Baradwaj, A Kiraly, D Ardila, R Iyer, S Shetty, K Kohlhoff BioRxiv, 497925, 2018	7	2018
Leveraging electrophysiologic correlates of word encoding to map seizure onset zone in focal epilepsy: Task‐dependent changes in epileptiform activity, spectral features, and … KV Saboo, I Balzekas, V Kremen, Y Varatharajah, M Kucewicz, RK Iyer, ... Epilepsia 62 (11), 2627-2639, 2021	6	2021
SCORE-IT: A Machine Learning-based Tool for Automatic Standardization of EEG Reports S Rawal, Y Varatharajah Machine Learning for Healthcare, 2021	6*	2021
A Dynamic Human-in-the-loop Recommender System for Evidence-based Clinical Staging of COVID-19. Y Varatharajah, H Chen, A Trotter, RK Iyer HealthRecSys@ RecSys, 21-22, 2020	6	2020

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