Isabell Kiral
Isabell Kiral
Amazon Web Services
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Cited by
Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System
I Kiral-Kornek, S Roy, E Nurse, B Mashford, P Karoly, T Carroll, D Payne, ...
EBioMedicine, 2017
Decoding EEG and LFP signals using deep learning: heading TrueNorth.
E Nurse, BS Mashford, A Jimeno Yepes, I Kiral-Kornek, P Karoly, J Tang, ...
In Proceedings of the ACM International Conference on Computing Frontiers …, 2016
ChronoNet: a deep recurrent neural network for abnormal EEG identification
S Roy, I Kiral-Kornek, S Harrer
Conference on artificial intelligence in medicine in Europe, 47-56, 2019
Deep learning enabled automatic abnormal EEG identification
S Roy, I Kiral-Kornek, S Harrer
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
A robust low-cost eeg motor imagery-based brain-computer interface
SAC Yohanandan, I Kiral-Kornek, J Tang, BS Mshford, U Asif, S Harrer
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Neural-network-based analysis of EEG data using the neuromorphic TrueNorth chip for brain-machine interfaces
BS Mashford, AJ Yepes, I Kiral-Kornek, J Tang, S Harrer
IBM Journal of Research and Development 61 (2/3), 7: 1-7: 6, 2017
Crowdsourcing health improvements routes
PR Bastide, IF Kiral-Kornek, D Mahapatra, S Saha, A Vishwanath, ...
US Patent 10,650,918, 2020
A neuroethics framework for the Australian brain initiative
A Carter, LJ Richards, D Apthorp, MR Azghadi, DR Badcock, B Balleine, ...
Neuron 101 (3), 365-369, 2019
Visual health maintenance and improvement
P Bastide, S Von Cavallar, I Kiral-Kornek, F Lu, D Mahapatra, S Saha, ...
US Patent 9,993,385, 2018
TrueNorth-enabled Real-time Classification of EEG Data for Brain-Computer Interfacing
I Kiral-Kornek, D Mendis, E Nurse, B Mashford, D Freestone, D Grayden, ...
Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, 2017
Can electric current steering be used to control perception of a retinal prosthesis patient
CO Savage, FI Kiral-Kornek, B Tahayori, DB Grayden
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
Automatic scaling for fixed point implementation of deep neural networks
S Harrer, AJJ Yepes, FI Kiral-Kornek, BS Mashford, J Tang
US Patent App. 15/293,954, 2018
Embracing the irregular: A patient-specific image processing strategy for visual prostheses
FI Kiral-Kornek, CO Savage, E O'Sullivan-Greene, AN Burkitt, DB Grayden
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
Influence of finite High-Impedance Surface dimensions on the characteristics of a planar printed dipole
SK Hampel, I Kiral, O Schmitz, I Rolfes
Proceedings of the Fourth European Conference on Antennas and Propagation, 1-4, 2010
From Wearables to Thinkables-Deep Learning, Nanobiosensors and the Next Generation of Mobile Devices
S Harrer, I Kiral-Kornek, R Kerr, BS Mashford, J Tang, AJ Yepes, ...
A multicenter analysis of factors associated with hearing outcome for 2,735 adults with cochlear implants
B Goudey, K Plant, I Kiral, A Jimeno-Yepes, A Swan, M Gambhir, ...
Trends in Hearing 25, 23312165211037525, 2021
Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data
S Roy, I Kiral, M Mirmomeni, T Mummert, A Braz, J Tsay, J Tang, U Asif, ...
EBioMedicine 66, 103275, 2021
Seizure detection, prediction and prevention using neurostimulation technology and deep neural network
S Harrer, FI Kiral-Kornek, BS Mashford, ROY Subhrajit, S Saha
US Patent 10,596,377, 2020
The Deep Learning Epilepsy Detection Challenge: design, implementation, and test of a new crowd-sourced AI challenge ecosystem
I Kiral, S Roy, T Mummert, A Braz, J Tsay, J Tang, U Asif, T Schaffter, ...
Challenges in Machine Learning Competitions for All (CiML) 1 (1), 2019
Improved visual performance in letter perception through edge orientation encoding in a retinal prosthesis simulation
FI Kiral-Kornek, E OʼSullivan-Greene, CO Savage, C McCarthy, ...
Journal of neural engineering 11 (6), 066002, 2014
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