Brain Tumor Classification Using MRI Images and Convolutional Neural Networks. - Muhammad Adeel Hafeez; Cihan Bilge Kayasandik; Merve Yüsra Dogan (SIU, 2022)

rs-fMRI Analysis Using Spatio-Temporal Sparse Convolutional Neural Networks. - Fatma Müberra Yener; Sultan Yildiz; Muhammad Adeel Hafeez; Cihan Bilge Kayasandik; Merve Yüsra Dogan (SIU, 2022)

Unsupervised End-to-End Transformer based approach for Video Anomaly Detection. - Muhammad Adeel Hafeez; Sajid Javed; Michael G. Madden; Ihsan Ullah 002 (IVCNZ, 2023)

Depth Estimation Using Weighted-Loss and Transfer Learning. - Muhammad Adeel Hafeez; Michael G. Madden; Ganesh Sistu; Ihsan Ullah 002 (VISIGRAPP (2): VISAPP, 2024)

EEG-based stress identification and classification using deep learning. - Muhammad Adeel Hafeez; Sadia Shakil (Multim. Tools Appl., 2024)

A Probabilistic Adversarial Autoencoder for Novelty Detection: Leveraging Lightweight Design and Reconstruction Loss. - Muhammad Asad; Ihsan Ullah 002; Muhammad Adeel Hafeez; Ganesh Sistu; Michael G. Madden (IEEE Access, 2025)

Multi-Source Depth Estimation: Utilizing Real, Synthetic, and Monocular Depth Data with Custom Loss Functions. - Muhammad Adeel Hafeez; Ganesh Sistu; Michael G. Madden; Ihsan Ullah 002 (Signal Image Video Process., 2025)