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Sensors (Basel, Switzerland)
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July 8, 2023
Automated Road Defect and Anomaly Detection for Traffic Safety: A Systematic Review
Munish Rathee, Boris Bačić, Maryam Doborjeh
Journal of Imaging
|
February 26, 2026
SIFT-SNN for Traffic-Flow Infrastructure Safety: A Real-Time Context-Aware Anomaly Detection Framework
Munish Rathee, Boris Bačić, Maryam Doborjeh
Bioengineering (Basel, Switzerland)
|
December 23, 2023
Brain-Inspired Spatio-Temporal Associative Memories for Neuroimaging Data Classification: EEG and fMRI
Nikola K Kasabov, Helena Bahrami, Maryam Doborjeh, et al.
Sensors (Basel, Switzerland)
|
December 23, 2023
Editorial Topical Collection: "Explainable and Augmented Machine Learning for Biosignals and Biomedical Images"
Cosimo Ieracitano, Mufti Mahmud, Maryam Doborjeh, et al.
Sensors (Basel, Switzerland)
|
July 24, 2021
Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network
Maryam Doborjeh, Zohreh Doborjeh, Nikola Kasabov, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
August 26, 2019
Personalised modelling with spiking neural networks integrating temporal and static information
Maryam Doborjeh, Nikola Kasabov, Zohreh Doborjeh, et al.
Progress in Brain Research
|
February 27, 2021
Prediction of tinnitus masking benefit within a case series using a spiking neural network model
Mithila Durai, Philip Sanders, Zohreh Doborjeh, et al.
Scientific Reports
|
April 25, 2019
Spiking Neural Network Modelling Approach Reveals How Mindfulness Training Rewires the Brain
Zohreh Doborjeh, Maryam Doborjeh, Tamasin Taylor, et al.
Frontiers in Digital Health
|
October 29, 2021
A State-of-Art Review of Digital Technologies for the Next Generation of Tinnitus Therapeutics
Grant D Searchfield, Philip J Sanders, Zohreh Doborjeh, et al.
Sensors (Basel, Switzerland)
|
January 21, 2023
Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning
Maryam Doborjeh, Xiaoxu Liu, Zohreh Doborjeh, et al.
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Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Sensors (Basel, Switzerland)
|
July 8, 2023
Automated Road Defect and Anomaly Detection for Traffic Safety: A Systematic Review
Munish Rathee, Boris Bačić, Maryam Doborjeh
Journal of Imaging
|
February 26, 2026
SIFT-SNN for Traffic-Flow Infrastructure Safety: A Real-Time Context-Aware Anomaly Detection Framework
Munish Rathee, Boris Bačić, Maryam Doborjeh
Bioengineering (Basel, Switzerland)
|
December 23, 2023
Brain-Inspired Spatio-Temporal Associative Memories for Neuroimaging Data Classification: EEG and fMRI
Nikola K Kasabov, Helena Bahrami, Maryam Doborjeh, et al.
Sensors (Basel, Switzerland)
|
December 23, 2023
Editorial Topical Collection: "Explainable and Augmented Machine Learning for Biosignals and Biomedical Images"
Cosimo Ieracitano, Mufti Mahmud, Maryam Doborjeh, et al.
Sensors (Basel, Switzerland)
|
July 24, 2021
Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network
Maryam Doborjeh, Zohreh Doborjeh, Nikola Kasabov, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
August 26, 2019
Personalised modelling with spiking neural networks integrating temporal and static information
Maryam Doborjeh, Nikola Kasabov, Zohreh Doborjeh, et al.
Progress in Brain Research
|
February 27, 2021
Prediction of tinnitus masking benefit within a case series using a spiking neural network model
Mithila Durai, Philip Sanders, Zohreh Doborjeh, et al.
Scientific Reports
|
April 25, 2019
Spiking Neural Network Modelling Approach Reveals How Mindfulness Training Rewires the Brain
Zohreh Doborjeh, Maryam Doborjeh, Tamasin Taylor, et al.
Frontiers in Digital Health
|
October 29, 2021
A State-of-Art Review of Digital Technologies for the Next Generation of Tinnitus Therapeutics
Grant D Searchfield, Philip J Sanders, Zohreh Doborjeh, et al.
Sensors (Basel, Switzerland)
|
January 21, 2023
Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning
Maryam Doborjeh, Xiaoxu Liu, Zohreh Doborjeh, et al.
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of 2