From the 1 of 7 linked papers with an AI index.
7 papers
Automated detection of circadian-dependent epileptic biomarkers for seizure localization using machine learning and signal processing
Mehdi Zekriyapanah Gashti, Mostafa Mohammadpour, Hassan Eshkiki +1
The paper presents an automated framework that uses signal processing and machine learning to detect circadian- and sleep‑dependent epileptic biomarkers (spikes, spike sequences, H…
SG-CLDFF: A Novel Framework for Automated White Blood Cell Classification and Segmentation
Mehdi Zekriyapanah Gashti, Mostafa Mohammadpour, Ghasem Farjamnia
Accurate segmentation and classification of white blood cells (WBCs) in microscopic images are essential for diagnosis and monitoring of many hematological disorders, yet remain ch…
Scrutiny new framework in integrated distributed reliable systems
Mehdi Zekriyapanah Gashti
In this paper we represent a new framework for integrated distributed systems. In the proposed framework we have used three parts to increase Satisfaction and Performance of this f…
FIDRS: A Novel Framework for Integrated Distributed Reliable Systems
Mehdi Zekriyapanah Gashti
In this paper we represent a new framework for integrated distributed and reliable systems. In the proposed framework we have used three parts to increase Satisfaction and Performa…
Detection of high-frequency oscillations using time-frequency analysis
Mostafa Mohammadpour, Mehdi Zekriyapanah Gashti, Yusif S. Gasimov
High-frequency oscillations (HFOs) are a new biomarker for identifying the epileptogenic zone. Mapping HFO-generating regions can improve the precision of resection sites in patien…
EEG Sleep Stage Classification with Continuous Wavelet Transform and Deep Learning
Mehdi Zekriyapanah Gashti, Ghasem Farjamnia
Accurate classification of sleep stages is crucial for the diagnosis and management of sleep disorders. Conventional approaches for sleep scoring rely on manual annotation or featu…