Mohammed S. Alqahtani

According to our database, Mohammed S. Alqahtani authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks.

G. S. Pradeep Ghantasala, Kumar Dilip, Pellakuri Vidyullatha, Sarah Allabun, Mohammed S. Alqahtani, Manal Othman, Mohamed Abbas, Ben Othman Soufiene

BMC Medical Informatics Decis. Mak., December, 2024

Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics.

J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan, Suresh Guluwadi

BMC Medical Imaging, December, 2024

Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer.

S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, Suresh Guluwadi

BMC Medical Imaging, December, 2024

Predicting stroke occurrences: a stacked machine learning approach with feature selection and data preprocessing.

Pritam Chakraborty, Anjan Bandyopadhyay, Preeti Padma Sahu, Aniket Burman, Saurav Mallik, Najah Alsubaie, Mohamed Abbas, Mohammed S. Alqahtani, Ben Othman Soufiene

BMC Bioinform., December, 2024

2023

TVFx - CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique.

Syed Thouheed Ahmed, Syed Muzamil Basha, Muthukumaran Venkatesan, Sandeep Kumar Mathivanan, Saurav Mallik, Najah Alsubaie, Mohammed S. Alqahtani

BMC Medical Imaging, December, 2023

Multimodal hybrid convolutional neural network based brain tumor grade classification.

A. Rohini, Carol Praveen, Sandeep Kumar Mathivanan, V. Muthukumaran, Saurav Mallik, Mohammed S. Alqahtani, Amal Al-Rasheed, Ben Othman Soufiene

BMC Bioinform., December, 2023

Detection for melanoma skin cancer through ACCF, BPPF, and CLF techniques with machine learning approach.

P. Kavitha, G. Ayyappan, Prabhu Jayagopal, Sandeep Kumar Mathivanan, Saurav Mallik, Amal Al-Rasheed, Mohammed S. Alqahtani, Ben Othman Soufiene

BMC Bioinform., December, 2023

Advanced Deep Learning Approaches for Accurate Brain Tumor Classification in Medical Imaging.

Amena Mahmoud, Nancy Awadallah Awad, Najah Alsubaie, Syed Immamul Ansarullah, Mohammed S. Alqahtani, Mohamed Abbas, Mohammed Usman, Ben Othman Soufiene, Abeer Saber

Symmetry, February, 2023

2021

Deep sequence modelling for predicting COVID-19 mRNA vaccine degradation.

Talal Saleh Qaid, Hussein Mazaar, Mohammed S. Alqahtani, Abeer A. Raweh, Wafaa Alakwaa

PeerJ Comput. Sci., 2021

Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19.

Talal Saleh Qaid, Hussein Mazaar, Mohammad Yahya H. Al-Shamri, Mohammed S. Alqahtani, Abeer A. Raweh, Wafaa Alakwaa

Comput. Intell. Neurosci., 2021

2017

A Multimodality Hybrid Gamma-Optical Camera for Intraoperative Imaging.

John E. Lees, Sarah L. Bugby, Mohammed S. Alqahtani, Layal K. Jambi, Numan S. Dawood, William R. McKnight, Aik H. Ng, Alan C. Perkins

Sensors, 2017