Mustafa Al-Maini

According to our database, Mustafa Al-Maini authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

Attention mechanisms in UNet variants for medical/non-medical image segmentation: A comprehensive and state-of-the-art narrative review.

Siddharth Gupta, Yogendra Chhetri, Amit Pandey, Akansha Singh, Mrinalini Bhagawati, Suneet K. Gupta, Neha Gupta, Surbhi Verma, Ekta Tiwari, Mustafa Al-Maini, Mostafa M. Fouda, Gavino Faa, Esma R. Isenovic, Andrew Laine, Luca Saba, Jasjit S. Suri

Comput. Biol. Medicine, 2026

Identification of high-risk genes and classification of acute myocardial infarction patients utilizing deep learning in a restricted cohort.

Krish Chaudhary, Narendra N. Khanna, Pankaj Kumar Jain, Rajesh Singh, Laura E. Mantella, Amer M. Johri, Gavino Faa, Mohamed Abbas, John R. Laird, Mustafa Al-Maini, Esma R. Isenovic, Luca Saba, Jasjit S. Suri

Comput. Biol. Medicine, 2026

2025

StockAI 3.0: Ensemble fusion paradigms using novel gating mechanism in long short-term memory architectures for forecasting sentiment-based stock trends.

Yuvraj Sharma, Siddharth Gupta, Neha Gupta, Ekta Tiwari, Rajesh Singh, Narendra N. Khanna, Mustafa Al-Maini, Vijay S. Rathore, Puneet Ahluwalia, Vandana Kumari, D. Subbaram Naidu, Luca Saba, Jasjit S. Suri

Soft Comput., November, 2025

Artificial intelligence-based multiclass diabetes risk stratification for big data embedded with explainability: From machine learning to attention models.

Ekta Tiwari, Siddharth Gupta, Anudeep Pavulla, Mustafa Al-Maini, Rajesh Singh, Esma R. Isenovic, Sumit Chaudhary, John L. Laird, Laura E. Mantella, Amer M. Johri, Luca Saba, Jasjit S. Suri

Biomed. Signal Process. Control., 2025

Attention-based hybrid deep learning models and its scientific validation for cardiovascular disease risk stratification.

Mrinalini Bhagawati, Siddharth Gupta, Sudip Paul, Laura E. Mantella, Amer M. Johri, John R. Laird, Ekta Tiwari, Narendra N. Khanna, Andrew Nicolaides, Rajesh Singh, Mustafa Al-Maini, Luca Saba, Jasjit S. Suri

Biomed. Signal Process. Control., 2025

2022

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.

Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri

Comput. Biol. Medicine, 2022