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Fotios Drakopoulos
Title
Cited by
Cited by
Year
A convolutional neural-network framework for modelling auditory sensory cells and synapses
F Drakopoulos, D Baby, S Verhulst
Communications Biology 4 (1), 827, 2021
212021
Real-time audio processing on a Raspberry Pi using deep neural networks
F Drakopoulos, D Baby, S Verhulst
23rd International Congress on Acoustics (ICA 2019), 2827-2834, 2019
122019
A differentiable optimisation framework for the design of individualised DNN-based hearing-aid strategies
F Drakopoulos, S Verhulst
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
112022
Model-based hearing-enhancement strategies for cochlear synaptopathy pathologies
F Drakopoulos, V Vasilkov, AO Vecchi, T Wartenberg, S Verhulst
Hearing Research 424, 108569, 2022
82022
A neural-network framework for the design of individualised hearing-loss compensation
F Drakopoulos, S Verhulst
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023
72023
Neural network model for cochlear mechanics and processing
S Verhulst, D Baby, F Drakopoulos, A Van Den Broucke
US Patent 11,800,301, 2023
32023
A DNN-based hearing-aid strategy for real-time processing: One size fits all
F Drakopoulos, A Van Den Broucke, S Verhulst
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
Large-scale electrophysiology and deep learning reveal distorted neural signal dynamics after hearing loss
S Sabesan, A Fragner, C Bench, F Drakopoulos, NA Lesica
Elife 12, e85108, 2023
12023
Otoacoustic emissions in a deep-neural-network model of cochlear mechanics
AVD Broucke, F Drakopoulos, D Baby, S Verhulst
AIP Conference Proceedings 3062 (1), 2024
2024
Closed-loop method to individualize neural-network-based audio signal processing
S Verhulst, F Drakopoulos, A Van Den Broucke, S Keshishzadeh
US Patent App. 17/802,983, 2023
2023
Machine-learning-based audio algorithms for hearing loss compensation
M Wouters, F Drakopoulos, S Verhulst
Forum Acusticum 2023, 2023
2023
Machine-learning-based audio algorithms for cochlear synaptopathy compensation: which speech features are enhanced?
M Wouters, F Drakopoulos, S Verhulst
24th International Congress on Acoustics (ICA 2022), 1-9, 2022
2022
Novel compensation strategies for hearing-impaired auditory signal processing
F Drakopoulos
Ghent University, 2022
2022
Biophysically realistic neural-network models of auditory neurons and synapses for neuroscience and machine-hearing applications
S Verhulst, F Drakopoulos, A Van den Broucke, D Baby
30th Annual Computational Neuroscience Meeting: CNS* 2021 49 (Suppl. 1), S30-S31, 2021
2021
Applying biophysical auditory periphery models for real-time applications and studies of hearing impairment
A Van Den Broucke, F Drakopoulos, D Baby, S Verhulst
e-Forum Acusticum 2020, 3005-3006, 2020
2020
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