Artificial intelligence technologies in neurosurgery: a systematic literature review using topic modeling. Part II: Research objectives and perspectives
GV Danilov, MA Shifrin, KV Kotik… - Современные …, 2020 - cyberleninka.ru
The current increase in the number of publications on the use of artificial intelligence (AI)
technologies in neurosurgery indicates a new trend in clinical neuroscience. The aim of the …
technologies in neurosurgery indicates a new trend in clinical neuroscience. The aim of the …
[HTML][HTML] Reproducible network changes occur in a mouse model of temporal lobe epilepsy but do not correlate with disease severity
Studying the development of brain network disruptions in epilepsy is challenged by the
paucity of data before epilepsy onset. Here, we used the unilateral, kainate mouse model of …
paucity of data before epilepsy onset. Here, we used the unilateral, kainate mouse model of …
[HTML][HTML] Abnormal directed connectivity of resting state networks in focal epilepsy
M Carboni, P De Stefano, BJ Vorderwülbecke… - NeuroImage: Clinical, 2020 - Elsevier
Objective Epilepsy diagnosis can be difficult in the absence of interictal epileptic discharges
(IED) on scalp EEG. We used high-density EEG to measure connectivity in large‐scale …
(IED) on scalp EEG. We used high-density EEG to measure connectivity in large‐scale …
Hybrid machine learning method for a connectivity-based epilepsy diagnosis with resting-state EEG
This study investigates the performance of a convolutional neural network (CNN) algorithm
on epilepsy diagnosis. Without pathology, diagnosis involves long and costly …
on epilepsy diagnosis. Without pathology, diagnosis involves long and costly …
Resting state EEG microstate profiling and a machine-learning based classifier model in epilepsy
A SA, DP, S PS, A ML, D Kumar, SV Thomas… - Cognitive …, 2024 - Springer
Electroencephalography-based (EEG) microstate analysis is a promising and widely studied
method in which spontaneous cerebral activity is segmented into sub second level quasi …
method in which spontaneous cerebral activity is segmented into sub second level quasi …
CNN for a Connectivity Based Epilepsy Diagnosis with Resting-state EEG
Objective This study investigates the performance of a CNN algorithm on epilepsy
diagnosis. Without pathology, diagnosis involves long and costly electroencephalographic …
diagnosis. Without pathology, diagnosis involves long and costly electroencephalographic …