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ORCIDMohammed S. Alqahtani
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2020 – today
- 2024
[j11]Pritam Chakraborty, Anjan Bandyopadhyay, Preeti Padma Sahu, Aniket Burman, Saurav Mallik, Najah Alsubaie, Mohamed Abbas, Mohammed S. Alqahtani, Ben Othman Soufiene:
Predicting stroke occurrences: a stacked machine learning approach with feature selection and data preprocessing. BMC Bioinform. 25(1): 329 (2024)- [j10]S. R. Sannasi Chakravarthy
, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, Suresh Guluwadi:
Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer. BMC Medical Imaging 24(1): 82 (2024) - [j9]J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan, Suresh Guluwadi:
Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics. BMC Medical Imaging 24(1): 100 (2024) - [j8]G. S. Pradeep Ghantasala, Kumar Dilip, Pellakuri Vidyullatha, Sarah Allabun, Mohammed S. Alqahtani, Manal Othman, Mohamed Abbas, Ben Othman Soufiene:
Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks. BMC Medical Informatics Decis. Mak. 24(1): 299 (2024) - 2023
- [j7]A. Rohini, Carol Praveen, Sandeep Kumar Mathivanan, V. Muthukumaran, Saurav Mallik, Mohammed S. Alqahtani, Amal Al-Rasheed, Ben Othman Soufiene:
Multimodal hybrid convolutional neural network based brain tumor grade classification. BMC Bioinform. 24(1): 382 (2023) - [j6]P. Kavitha, G. Ayyappan, Prabhu Jayagopal, Sandeep Kumar Mathivanan, Saurav Mallik, Amal Al-Rasheed, Mohammed S. Alqahtani, Ben Othman Soufiene:
Detection for melanoma skin cancer through ACCF, BPPF, and CLF techniques with machine learning approach. BMC Bioinform. 24(1): 458 (2023) - [j5]Syed Thouheed Ahmed, Syed Muzamil Basha, Muthukumaran Venkatesan, Sandeep Kumar Mathivanan, Saurav Mallik, Najah Alsubaie, Mohammed S. Alqahtani:
TVFx - CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique. BMC Medical Imaging 23(1): 146 (2023) - [j4]Amena Mahmoud, Nancy Awadallah Awad, Najah Alsubaie, Syed Immamul Ansarullah, Mohammed S. Alqahtani, Mohamed Abbas, Mohammed Usman, Ben Othman Soufiene, Abeer Saber:
Advanced Deep Learning Approaches for Accurate Brain Tumor Classification in Medical Imaging. Symmetry 15(3): 571 (2023) - 2021
- [j3]Talal Saleh Qaid, Hussein Mazaar, Mohammad Yahya H. Al-Shamri, Mohammed S. Alqahtani, Abeer A. Raweh, Wafaa Alakwaa:
Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19. Comput. Intell. Neurosci. 2021: 9996737:1-9996737:11 (2021) - [j2]Talal Saleh Qaid, Hussein Mazaar, Mohammed S. Alqahtani, Abeer A. Raweh, Wafaa Alakwaa:
Deep sequence modelling for predicting COVID-19 mRNA vaccine degradation. PeerJ Comput. Sci. 7: e597 (2021)
2010 – 2019
- 2017
- [j1]John E. Lees, Sarah L. Bugby, Mohammed S. Alqahtani, Layal K. Jambi, Numan S. Dawood, William R. McKnight, Aik H. Ng, Alan C. Perkins:
A Multimodality Hybrid Gamma-Optical Camera for Intraoperative Imaging. Sensors 17(3): 554 (2017)
Coauthor Index
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