Isabell Kiral-Kornek

Author

IBM Research - Australia ORCID

Also Known As

I. Kiral-Kornek, Isabell Kiral, Isabell Kiral-Kornek, Kiral, Isabell, Kiral-Kornek, Isabell

Publications

667

Citations

H-Index

Concepts

All Affiliations

IBM Research - Australia The University of Melbourne Vanderbilt University Medical Center Medizinische Hochschule Hannover Cochlear (Australia)

About

Isabell Kiral-Kornek is an author at IBM Research - Australia specializing in engineering, deep learning, and neuroimaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	203
2	Social Sciences	2	2	92
3	Health Sciences	1	1	45
4	Medicine	1	1	66
5	Biostatistics	1	1	45

Isabell Kiral-Kornek

Publications

657

Citations

H-Index

Page 1

	Year	Citations
Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System Isabell Kiral-Kornek, Subhrajit Roy, Ewan S. Nurse, EBioMedicine	2017	300
Decoding EEG and LFP signals using deep learning Ewan S. Nurse, Benjamin S. Mashford, Antonio Jimeno Yepes, Artificial IntelligenceEngineeringMachine LearningWearable TechnologyDeep Learning Technology	2016	77
A MultiCenter Analysis of Factors Associated with Hearing Outcome for 2,735 Adults with Cochlear Implants Benjamin Goudey, Kerrie Plant, Isabell Kiral-Kornek, Trends in Hearing	2021	76
Deep Learning Enabled Automatic Abnormal EEG Identification Subhrajit Roy, Isabell Kiral-Kornek, Stefan Harrer EngineeringMachine LearningElectroencephalographyData ScienceCognitive Electrophysiology	2018	66
Predictive models for cochlear implant outcomes: Performance, generalizability, and the impact of cohort size Elaheh ShafieiBavani, Benjamin Goudey, Isabell Kiral-Kornek, Trends in Hearing EngineeringMachine LearningMachine Learning ModelsSpeech RecognitionCohort Size	2021	45
A Robust Low-Cost EEG Motor Imagery-Based Brain-Computer Interface Shivanthan A.C. Yohanandan, Isabell Kiral-Kornek, Jianbin Tang,	2018	35
Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data Subhrajit Roy, Isabell Kiral-Kornek, Mahtab Mirmomeni, EBioMedicine	2021	22
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification Subhrajit Roy, Isabell Kiral-Kornek, Stefan Harrer Lecture notes in computer science	2019	21
Neural-network-based analysis of EEG data using the neuromorphic TrueNorth chip for brain-machine interfaces Benjamin S. Mashford, Antonio Jimeno Yepes, Isabell Kiral-Kornek, IBM Journal of Research and Development EngineeringNeural NetworkTrinary WeightsElectroencephalographySocial Sciences	2017	15

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