Zobrazeno 1 - 10 of 25 pro vyhledávání: '"Burak Tasci"'
1
Akademický článek
TATPat based explainable EEG model for neonatal seizure detection
Autor: Turker Tuncer, Sengul Dogan, Irem Tasci, Burak Tasci, Rena Hajiyeva
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract The most cost-effective data collection method is electroencephalography (EEG) to obtain meaningful information about the brain. Therefore, EEG signal processing is very important for neuroscience and machine learning (ML). The primary objec
Externí odkaz: https://doaj.org/article/52a05596f2cf47f5bbc15187f2e46f4f
Zobrazit plný text záznamu
2
Akademický článek
InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images
Autor: Burak Tasci, Madhav R. Acharya, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Samir Brahim Belhaouari
Publikováno v: International Journal of Applied Earth Observations and Geoinformation, Vol 123, Iss , Pp 103483- (2023)
In February 2023, Turkey experienced a series of earthquakes that caused significant damage to buildings and affected many people. Detecting building damage quickly is crucial for helping earthquake victims, and we believe machine learning models off
Externí odkaz: https://doaj.org/article/3651cf2dd6ed4d0f975f402698410b0b
Zobrazit plný text záznamu
3
Akademický článek
Attention TurkerNeXt: Investigations into Bipolar Disorder Detection Using OCT Images
Autor: Sermal Arslan, Mehmet Kaan Kaya, Burak Tasci, Suheda Kaya, Gulay Tasci, Filiz Ozsoy, Sengul Dogan, Turker Tuncer
Publikováno v: Diagnostics, Vol 13, Iss 22, p 3422 (2023)
Background and Aim: In the era of deep learning, numerous models have emerged in the literature and various application domains. Transformer architectures, particularly, have gained popularity in deep learning, with diverse transformer-based computer
Externí odkaz: https://doaj.org/article/7e786e69c6d64310b7e4cb758d3d07ff
Zobrazit plný text záznamu
4
Akademický článek
ASNET: A Novel AI Framework for Accurate Ankylosing Spondylitis Diagnosis from MRI
Autor: Nevsun Pihtili Tas, Oguz Kaya, Gulay Macin, Burak Tasci, Sengul Dogan, Turker Tuncer
Publikováno v: Biomedicines, Vol 11, Iss 9, p 2441 (2023)
Background: Ankylosing spondylitis (AS) is a chronic, painful, progressive disease usually seen in the spine. Traditional diagnostic methods have limitations in detecting the early stages of AS. The early diagnosis of AS can improve patients’ quali
Externí odkaz: https://doaj.org/article/e7ed150d1dbb42948e1e810e8c484b36
Zobrazit plný text záznamu
5
Akademický článek
An Accurate Multiple Sclerosis Detection Model Based on Exemplar Multiple Parameters Local Phase Quantization: ExMPLPQ
Autor: Gulay Macin, Burak Tasci, Irem Tasci, Oliver Faust, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Ru-San Tan, U. Rajendra Acharya
Publikováno v: Applied Sciences, Vol 12, Iss 10, p 4920 (2022)
Multiple sclerosis (MS) is a chronic demyelinating condition characterized by plaques in the white matter of the central nervous system that can be detected using magnetic resonance imaging (MRI). Many deep learning models for automated MS detection
Externí odkaz: https://doaj.org/article/77b9b58697204f4f8f2878d456d8cb66
Zobrazit plný text záznamu
10
Attention Deep Feature Extraction from Brain MRIs in Explainable Mode: DGXAINet
Autor: BURAK TASCI
Publikováno v: Diagnostics
Volume 13
Issue 5
Pages: 859
Artificial intelligence models do not provide information about exactly how the predictions are reached. This lack of transparency is a major drawback. Particularly in medical applications, interest in explainable artificial intelligence (XAI), which
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2eddcd1d037ced7c18d2a02812d7658
https://doi.org/10.3390/diagnostics13050859
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje