Laparoscopic simple nephrectomy (LSN) is an accepted treatment modality for nonfunctioning kidneys. Besides decreased postoperative morbidity, LSN is an advantage with decreased analgesic requirements and convalescence. ...

Cognitive state of a person can be monitored by the use of brain electrical activity measurements (Electroencephalogram, EEG). In the concept of this study, it is aimed to classify EEG topographies using deep learning. ...

Stroke as one the most significant health problems can be diagnosed by clinical symptoms and medical imaging modalities. Stroke patients mostly suffer from white matter changes, so the detection of any change in the white ...

In the last few decades, the relationship between the mental workload and electrophysiological measurements are being studied. The aim of this study is to measure the electrophysiological responses of the autonomic and ...

Diffusion tensor imaging (DTI) techniques allow the detection of changes in the microstructure of the human brain. The detection and follow-up of the underlying pathology and disruption of tissues is of vital importance. ...

In this study, it was aimed to classify the electrical signals recorded from human brain during different season (summer-winter) videos as stimuli. Data have been recorded using 14 channels EEG from four male participants. ...

Processing of brain images has some difficulties because of the large data size and complexity of the data. Deep learning facilitates hierarchicical feature extraction automatically. However the optimization of deep nets ...

…

Brain activation can be observed by means of electrical and haemodynamic responses under the resting state condition. Several brain regions are synchronously activated to form functional brain networks during the resting ...

Human brain electrical responses measured as Electroencephalogram epochs have different characteristics by means of amplitude and frequency content depending on the conditions and stimuli. Event-related potentials are the ...