From the 1 of 4 linked papers with an AI index.
4 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…
Multi-Temporal Frames Projection for Dynamic Processes Fusion in Fluorescence Microscopy
Hassan Eshkiki, Sarah Costa, Mostafa Mohammadpour +3
Fluorescence microscopy is widely employed for the analysis of living biological samples; however, the utility of the resulting recordings is frequently constrained by noise, tempo…
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…
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…