المؤهلات العلمية

A Bachelor's degree in Diagnostic Radiology -King Khalid University (2009-2013)
A Master's degree in Medical Imaging -the University of Dundee (2016-2017)
A PhD in Medical Imaging - MRI -the University of Dundee  (2018-2022) 

الخبرات

Teaching Assistant at Najran University (2013-2016) 
Lecturer at Najran University (2017-2022) 
Assistant Professor at Najran University (2022-till now ) 

التخصصات والمهارات

Member of the Radiological Sciences Department Council
Member of the Community Service Unit
Member of the Permanent Committee for Providing Supplies and Essentials to the Health Colleges and University Hospital

الدورات التدربية

Foundation Program for Quality, Evaluation and Accreditation 17/09/23 to 21/09/23
Academic Quality Practitioner 01/10/23 to 04/10/23  
 

الأبحاث العلمية

                                                        https://www.researchgate.net/profile/Saeed-Alqahtani-13 


Asiri AA, Shaf A, Ali T, Pasha MA, Zafar M, Irfan M, Alqahtani S, Alghamdi AJ, Alghamdi AH, Alshamrani AF, Alelyani M. Transitioning from Convolutional Neural Network to Involutional Neural Network for Resource Efficient Brain Tumor Detection. IEEE Access. 2023 Oct 20.

Asiri, A.A.; Shaf, A.; Ali, T.; Aamir, M.; Irfan, M.; Alqahtani, S.; Mehdar, K.M.; Halawani, H.T.; Alghamdi, A.H.; Alshamrani, A.F.A.; et al. Brain Tumor Detection and Classification Using Fine-Tuned CNN with ResNet50 and U-Net Model: A Study on TCGA-LGG and TCIA Dataset for MRI Applications. Life 2023, 13, 1449. https://doi.org/10.3390/life13071449

Alqahatani, S. (2023). Study on Machine Learning and Deep Learning in Medical Imaging Emphasizes MRI: A Systematic Literature Review. International Journal of Pharmaceutical Research and Allied Sciences, 12(2), 70-78. https://doi.org/10.51847/kj4hoW5tIZ

Alqahtani, S.; Zhang, X.; Wei, C.; Zhang, Y.; Szewczyk-Bieda, M.; Wilson, J.; Huang, Z.; Nabi, G. Predicting the Performance of Concurrent Systematic Random Biopsies during Image Fusion Targeted Sampling of Multi-Parametric MRI Detected Prostate Cancer. A Prospective Study (PRESET Study). Cancers 2022, 14, 1. https://doi.org/10.3390/cancers14010001

Alqahtani, S., Wei, C., Zhang, Y. et al. Prediction of prostate cancer Gleason score upgrading from biopsy to radical prostatectomy using pre-biopsy multiparametric MRI PIRADS scoring system. Sci Rep 10, 7722 (2020). https://doi.org/10.1038/s41598-020-64693-y

Alqahtani*, Saeed; Wei, Cheng; Zhang, Yilong; Szewczyk-Bieda, Magdalena; Wilson, Jennifer; Huang, Zhihong; Nabi, Ghulam. MP13-09?PRE-BIOPSY MULTIPARAMTRIC MR IMAGING USING PI-RADS SCORING SYSTEM SIGNIFICANTLY PREDICT UPGRADING OF RANDOM TRANSRECTAL PROSTATE BIOPSIES GRADING FOLLOWING RADICAL PROSTATECTOMY. The Journal of Urology 203():p e187, April 2020. | DOI: 10.1097/JU.0000000000000838.09

Wei C, Zhang Y, Malik H, Zhang X, Alqahtani S, Upreti D, Szewczyk-Bieda M, Lang S and Nabi G (2019) Prediction of Postprostatectomy Biochemical Recurrence Using Quantitative Ultrasound Shear Wave Elastography Imaging. Front. Oncol. 9:572. doi: 10.3389/fonc.2019.00572

Asiri, A.A.; Shaf, A.; Ali, T.; Pasha, M.A.; Aamir, M.; Irfan, M.; Alqahtani, S.; Alghamdi, A.J.; Alghamdi, A.H.; Alshamrani, A.F.A.; et al. Advancing Brain Tumor Classification through Fine-Tuned Vision Transformers: A Comparative Study of Pre-Trained Models. Sensors 2023, 23, 7913. https://doi.org/10.3390/s23187913

المقررات التدرسية

Magnetic Resonance Imaging (MRI) Techniques
Practical Training (7)
Anatomy and Radiological Imaging
Radiology
 

الساعات المكتبية

الوصف