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ORCIDAbdulrhman Aljouie
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2020 – today
- 2026
[j4]Khalid Al Sulaiman, Abdullah F. Alharthi, Rahaf Alqahtani, Abdulrhman Aljouie, Anas Khan, Ahmed Al-jedai, Abdulqader Almoeen, Mohammed Alshennawi, Hisham A. Badreldin, Lubna A. Alnasser
, Abdulmajeed M. Alshehri, Mohammed Alzahrani, Haifa A. Alhaidal, Raghad Alhajaji, Salman Alotaibi, Esraa Z. Redhwan, Fahad Alharthi, Badr G. Alghamdi, Ala'a Alquayt, Ohoud Aljuhani:
Ethical, data security, and resource allocation considerations in AI integration for healthcare during Hajj: task force insights and future directions. Int. J. Medical Informatics 205: 106123 (2026)- 2025
- [i3]Mohammed Baharoon, Siavash Raissi, John S. Jun, Thibault Heintz, Mahmoud Hussain Alabbad, Ali Alburkani, Sung Eun Kim, Kent Ryan Kleinschmidt, Abdulrahman O. Alhumaydhi, Mohannad Mohammed G. Alghamdi, Jeremy Palacio, Mohammed Bukhaytan, Noah Michael Prudlo, Rithvik Akula, Brady Chrisler, Benjamin Galligos, Mohammed O. Almutairi, Mazeen Mohammed Alanazi, Nasser M. Alrashdi, Joel Jihwan Hwang, Sri Sai Dinesh Jaliparthi, Luke David Nelson, Nathaniel Nguyen, Sathvik Suryadevara, Steven Kim, Mohammed F. Mohammed, Yevgeniy R. Semenov, Kun-Hsing Yu, Abdulrhman Aljouie, Hassan Rayhan AlOmaish, Adam Rodman, Pranav Rajpurkar:
RadGame: An AI-Powered Platform for Radiology Education. CoRR abs/2509.13270 (2025) - 2023
- [i2]Mohammed Baharoon, Hessa Almatar, Reema Alduhayan, Tariq Aldebasi, Badr Alahmadi, Yahya Bokhari, Mohammed Alawad, Ahmed Almazroa, Abdulrhman Aljouie:
HyMNet: a Multimodal Deep Learning System for Hypertension Classification using Fundus Photographs and Cardiometabolic Risk Factors. CoRR abs/2310.01099 (2023) - [i1]Mohammed Baharoon, Waseem Qureshi, Jiahong Ouyang, Yanwu Xu, Abdulrhman Aljouie, Wei Peng:
Towards General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks. CoRR abs/2312.02366 (2023) - 2022
- [j3]Taghrid Aloraini, Abdulrhman Aljouie, Rashed Alniwaider, Wardah Alharbi, Lamia Alsubaie, Wafaa AlTuraif, Waseem Qureshi, Abdulrahman Alswaid, Wafaa Eyiad, Fuad Al Mutairi, Faroug Ababneh, Majid Alfadhel, Ahmed Alfares:
The variant artificial intelligence easy scoring (VARIES) system. Comput. Biol. Medicine 145: 105492 (2022) - 2020
- [j2]Abdulrhman Aljouie, Ling Zhong, Usman Roshan:
High scoring segment selection for pairwise whole genome sequence alignment with the maximum scoring subsequence and GPUs. Int. J. Comput. Biol. Drug Des. 13(1): 71-81 (2020) - [c5]Abdulrhman Aljouie, Yunzhe Xue, Meiyan Xie, Usman Roshan:
Challenges in predicting glioma survival time in multi-modal deep networks. BIBM 2020: 2558-2562
2010 – 2019
- 2019
- [c4]Abdulrhman Aljouie, Usman Roshan:
Multi-path convolutional neural network for glioblastoma survival group prediction with point mutations and demographic features. BIBM 2019: 1274-1279 - 2018
- [c3]Abdulrhman Aljouie, Nihir Patel, Usman Roshan:
Cross-validation and cross-study validation of kidney cancer with machine learning and whole exome sequences from the National Cancer Institute. CIBCB 2018: 1-6 - 2016
- [j1]Abdulrhman Aljouie, Nihir Patel, Bharati Jadhav, Usman Roshan:
Cross-validation and cross-study validation of chronic lymphocytic leukaemia with exome sequences and machine learning. Int. J. Data Min. Bioinform. 16(1): 47-63 (2016) - 2015
- [c2]Nihir Patel, Bharati Jhadav, Abdulrhman Aljouie, Usman Roshan:
Cross-validation and cross-study validation of chronic lymphocytic leukemia with exome sequences and machine learning. BIBM 2015: 1367-1374 - [c1]Abdulrhman Aljouie, Usman Roshan:
Prediction of Continuous Phenotypes in Mouse, Fly, and Rice Genome Wide Association Studies with Support Vector Regression SNPs and Ridge Regression Classifier. ICMLA 2015: 1246-1250
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