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Jessica J. M. Monaghan

Observed names: Jessica J M Monaghan, Jessica J. M. Monaghan*, Jessica J. Monaghan, Jessica J.M. Monaghan, Jessica JM Monaghan, Jessica Monaghan, Monaghan, Jessica, Monaghan, Jessica J.M.
Observed institutions: MRC Cognition and Brain Sciences Unit, University of Cambridge, National Acoustic Laboratories, MRC Institute of Hearing Research, University of Southampton, Medical Research Council, Macquarie University
ORCID: 0000-0003-1416-4164
Observed ORCID: 0000-0003-1416-4164
OpenAlex ID: A5008219988
A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers
2020 · Xiang Zhang, Lina Yao, et al. · Journal of Neural Engineering · 392
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Development of Social Vocalizations in Mice
2011 · Jasmine M. S. Grimsley, Jessica J. M. Monaghan, et al. · PLoS ONE · 302
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A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis
2019 · Dalin Zhang, Lina Yao, et al. · IEEE Signal Processing Letters · 221
Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users
2016 · Tobias Goehring, Federico Bolner, et al. · Hearing Research · 149
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A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers
2018 · Zhang, Xiang, Yao, Lina, et al. · arXiv (Cornell University) · 137
Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI
2023 · Hengjin Ke, Dan Chen, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 75
Deep reinforcement learning guided graph neural networks for brain network analysis
2022 · Xusheng Zhao, Jia Wu, et al. · Neural Networks · 74
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A statistical, formant-pattern model for segregating vowel type and vocal-tract length in developmental formant data
2009 · Richard E. Turner, Thomas C. Walters, et al. · The Journal of the Acoustical Society of America · 64
Hidden Hearing Loss Impacts the Neural Representation of Speech in Background Noise
2020 · Jessica J.M. Monaghan, Jose A. Garcia-Lazaro, et al. · Current Biology · 63
Cross-modal functional connectivity supports speech understanding in cochlear implant users
2022 · Amanda M Fullerton, Deborah A Vickers, et al. · Cerebral Cortex · 40
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Speech enhancement based on neural networks applied to cochlear implant coding strategies
2016 · Federico Bolner, Tobias Goehring, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 37
Tolerable delay for speech production and perception: effects of hearing ability and experience with hearing aids
2017 · Tobias Goehring, Josie L. Chapman, et al. · International Journal of Audiology · 31
Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners
2017 · Jessica J. M. Monaghan, Tobias Goehring, et al. · The Journal of the Acoustical Society of America · 31
Sensitivity to Envelope Interaural Time Differences at High Modulation Rates
2015 · Jessica J. M. Monaghan, Stefan Bleeck, et al. · Trends in Hearing · 28
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Semi-Supervised EEG Clustering With Multiple Constraints
2022 · Chenglong Dai, Jia Wu, et al. · IEEE Transactions on Knowledge and Data Engineering · 24
Factors affecting the use of envelope interaural time differences in reverberation
2013 · Jessica J. M. Monaghan, Katrin Krumbholz, et al. · The Journal of the Acoustical Society of America · 23
A method to enhance the use of interaural time differences for cochlear implants in reverberant environments
2016 · Jessica J. M. Monaghan, Bernhard U. Seeber · The Journal of the Acoustical Society of America · 21
Speech enhancement for hearing-impaired listeners using deep neural networks with auditory-model based features
2016 · Tobias Goehring, Xin Yang, et al. · European Signal Processing Conference (EUSIPCO) · 20
Understanding degraded speech leads to perceptual gating of a brainstem reflex in human listeners
2021 · Heivet Hernández-Pérez, Jason Mikiel-Hunter, et al. · PLoS Biology · 16
Influence of envelope waveform on ITD sensitivity of neurons in the auditory midbrain
2017 · David Greenberg, Jessica J. M. Monaghan, et al. · Journal of Neurophysiology · 16
Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis
2022 · Yun Li, Zhe Liu, et al. · IEEE Journal of Biomedical and Health Informatics · 14
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Generalizable Sample-Efficient Siamese Autoencoder for Tinnitus Diagnosis in Listeners With Subjective Tinnitus
2021 · Zhe Liu, Lina Yao, et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 13
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Low-dimensional, auditory feature vectors that improve vocal-tract-length normalization in automatic speech recognition
2008 · Jessica J. Monaghan, Christian Feldbauer, et al. · The Journal of the Acoustical Society of America · 12
Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data
2023 · Yunbo Tang, Dan Chen, et al. · Neural Networks · 11
Side-Aware Meta-Learning for Cross-Dataset Listener Diagnosis With Subjective Tinnitus
2022 · Zhe Liu, Yun Li, et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 11
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Works count: 71
Citation count: 1,877
H-index: 18
I10-index: 26
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