Shervan Fekri-Ershad

4PUBLICATIONS
5CO-AUTHORS
Pattern recognitionCancer diagnosisConcurrency theoryGene expression (incl. microarray and other genome-wide approaches)
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Publications (4)

|Sep 26, 2025
A Flexible Multi-Channel Deep Network Leveraging Texture and Spatial Features for Diagnosing New COVID-19 Variants in Lung CT Scans.

Shervan Fekri-Ershad, Khalegh Behrouz Dehkordi

|Feb 25, 2023
Developing a Tuned Three-Layer Perceptron Fed with Trained Deep Convolutional Neural Networks for Cervical Cancer Diagnosis.

Shervan Fekri-Ershad, Marwa Fadhil Alsaffar

|Dec 12, 2022
Diagnosis of COVID-19 Disease in Chest CT-Scan Images Based on Combination of Low-Level Texture Analysis and MobileNetV2 Features.

Azita Yazdani, Shervan Fekri-Ershad, Saeed Jelvay

|Dec 08, 2022
Cell Phenotype Classification Based on Joint of Texture Information and Multilayer Feature Extraction in DenseNet.

Shervan Fekri-Ershad, Mustafa Jawad Al-Imari, Mohammed Hayder Hamad

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