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Fırat Orhanbulucu

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Computer Methods in Biomechanics and Biomedical Engineering|October 4, 2021
Detection of amyotrophic lateral sclerosis disease from event-related potentials using variational mode decomposition methodFırat Orhanbulucu, Fatma Latifoğlu
Diagnostics (Basel, Switzerland)|June 10, 2023
A New Hybrid Approach Based on Time Frequency Images and Deep Learning Methods for Diagnosis of Migraine Disease and Investigation of Stimulus EffectFırat Orhanbulucu, Fatma Latifoğlu, Recep Baydemir
Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|September 16, 2025
Machine learning-based migraine analysis using retinal vessel diameters from optical coherence tomography: an alternative approachFırat Orhanbulucu, Metin Ünlü, Duygu Gülmez Sevim, et al.
The International Journal of Neuroscience|July 7, 2025
EEG signal analysis for the classification of Alzheimer's and frontotemporal dementia: a novel approach using artificial neural networks and cross-entropy techniquesFatma Latifoğlu, Fırat Orhanbulucu, Murugappan Murugappan, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Computer Methods in Biomechanics and Biomedical Engineering|October 4, 2021
Detection of amyotrophic lateral sclerosis disease from event-related potentials using variational mode decomposition methodFırat Orhanbulucu, Fatma Latifoğlu
Diagnostics (Basel, Switzerland)|June 10, 2023
A New Hybrid Approach Based on Time Frequency Images and Deep Learning Methods for Diagnosis of Migraine Disease and Investigation of Stimulus EffectFırat Orhanbulucu, Fatma Latifoğlu, Recep Baydemir
Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|September 16, 2025
Machine learning-based migraine analysis using retinal vessel diameters from optical coherence tomography: an alternative approachFırat Orhanbulucu, Metin Ünlü, Duygu Gülmez Sevim, et al.
The International Journal of Neuroscience|July 7, 2025
EEG signal analysis for the classification of Alzheimer's and frontotemporal dementia: a novel approach using artificial neural networks and cross-entropy techniquesFatma Latifoğlu, Fırat Orhanbulucu, Murugappan Murugappan, et al.
Pageof 1