Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases. - Abdullahi Umar Ibrahim; Mehmet Ozsoz; Sertan Serte; Fadi M. Al-Turjman; Salahudeen Habeeb Kolapo (Expert Syst. J. Knowl. Eng., 2022)

Futuristic CRISPR-based biosensing in the cloud and internet of things era: an overview. - Abdullahi Umar Ibrahim; Fadi Al-Turjman 001; Zubaida Sa'id Ameen; Mehmet Ozsoz (Multim. Tools Appl., 2022)

Computer-aided Detection of Tuberculosis from Microbiological and Radiographic Images. - Abdullahi Umar Ibrahim; Ayse Gunnay Kibarer; Fadi Al-Turjman 001 (Data Intell., 2023)

Current Technologies for Detection of COVID-19: Biosensors, Artificial Intelligence and Internet of Medical Things (IoMT): Review. - Irkham Irkham; Abdullahi Umar Ibrahim; Chidi Wilson Nwekwo; Fadi Al-Turjman 001; Yeni Wahyuni Hartati (Sensors, 2023)

Smart Graphene-Based Electrochemical Nanobiosensor for Clinical Diagnosis: Review. - Irkham Irkham; Abdullahi Umar Ibrahim; Pwadubashiyi Coston Pwavodi; Fadi Al-Turjman 001; Yeni Wahyuni Hartati (Sensors, 2023)

Crispr biosensing and Ai driven tools for detection and prediction of Covid-19. - Abdullahi Umar Ibrahim; Pwadubashiyi Coston Pwavodi; Mehmet Ozsoz; Fadi M. Al-Turjman; Tirah Galaya; Joy Johnson Agbo (J. Exp. Theor. Artif. Intell., 2023)

Large-scaled detection of COVID-19 from X-ray using transfer learning. - Abdullahi Umar Ibrahim; Ayse Gunnay Kibarer; Fadi Al-Turjman 001; Serife Kaba (Int. J. Imaging Syst. Technol., 2023)

Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19. - Abdullahi Umar Ibrahim; Mehmet Ozsoz; Sertan Serte; Fadi M. Al-Turjman; Polycarp Shizawaliyi Yakoi (Cogn. Comput., 2024)

Applied Artificial Intelligence and Prospect of Internet of Everything (IoE) for the Detection of Tuberculosis. - Ibrahim Omodamilola; Abdullahi Umar Ibrahim; Süleyman Asir; Fadi M. Al-Turjman (Appl. Artif. Intell., 2024)