Maha A. Thafar

According to our database, Maha A. Thafar authored at least 11 papers between 2019 and 2025.

Collaborative distances:

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

2025

Brain Stroke Detection and Classification Using CT Imaging with Transformer Models and Explainable AI.

Shomukh Qari, Maha A. Thafar

CoRR, July, 2025

Smart Waste Management System for Makkah City using Artificial Intelligence and Internet of Things.

Rawabi S. Al Qurashi, Maram M. Almnjomi, Teef L. Alghamdi, Amjad H. Almalki, Shahad S. Alharthi, Shahad M. althobuti, Alanoud S. Alharthi, Maha A. Thafar

CoRR, May, 2025

A Smart Healthcare System for Monkeypox Skin Lesion Detection and Tracking.

Huda Alghoraibi, Nuha Alqurashi, Sarah Alotaibi, Renad Alkhudaydi, Bdoor Aldajani, Lubna Alqurashi, Jood Batweel, Maha A. Thafar

CoRR, May, 2025

2023

VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants.

Fang Ge, Chen Li, Shahid Iqbal, Muhammad Arif, Fuyi Li, Maha A. Thafar, Zihao Yan, Apilak Worachartcheewan, Xiaofeng Xu, Jiangning Song, Dong-Jun Yu

Briefings Bioinform., January, 2023

2022

Drug Repositioning through the Development of Diverse Computational Methods using Machine Learning, Deep Learning, and Graph Mining.

Maha A. Thafar

PhD thesis, 2022

2021

Application and evaluation of knowledge graph embeddings in biomedical data.

Mona Alshahrani, Maha A. Thafar, Magbubah Essack

PeerJ Comput. Sci., 2021

DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learning.

Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, Vladimir B. Bajic, Takashi Gojobori, Magbubah Essack, Xin Gao

J. Cheminformatics, 2021

2020

DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniques.

Maha A. Thafar, Rawan S. Olayan, Haitham Ashoor, Somayah Albaradei, Vladimir B. Bajic, Xin Gao, Takashi Gojobori, Magbubah Essack

J. Cheminformatics, 2020

Automated Counting of Colony Forming Units Using Deep Transfer Learning From a Model for Congested Scenes Analysis.

Somayah Albaradei, Francesco Napolitano, Mahmut Uludag, Maha A. Thafar, Sara Napolitano, Magbubah Essack, Vladimir B. Bajic, Xin Gao

IEEE Access, 2020

Computational Drug-target Interaction Prediction based on Graph Embedding and Graph Mining.

Maha A. Thafar, Somayah Albaradei, Rawan S. Olayan, Haitham Ashoor, Magbubah Essack, Vladimir B. Bajic

Proceedings of the ICBBB 2020: 10th International Conference on Bioscience, 2020

2019

Metastatic State of Colorectal Cancer can be Accurately Predicted with Methylome.

Somayah Albaradei, Maha A. Thafar, Christophe Van Neste, Magbubah Essack, Vladimir B. Bajic

Proceedings of the ICBRA '19: 6th International Conference on Bioinformatics Research and Applications, 2019