Content-adaptive non-parametric texture similarity measure. - Motaz Alfarraj; Yazeed Alaudah; Ghassan AlRegib (MMSP, 2016)

A comparative study of texture attributes for characterizing subsurface structures in seismic volumes. - Zhiling Long; Yazeed Alaudah; Muhammad Ali Qureshi; Yuting Hu 001; Zhen Wang 007; Motaz Alfarraj; Ghassan AlRegib; Asjad Amin; Mohamed A. Deriche; Suhail Al-Dharrab; Haibin Di (CoRR, 2018)

Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective. - Ghassan AlRegib; Mohamed A. Deriche; Zhiling Long; Haibin Di; Zhen Wang 007; Yazeed Alaudah; Muhammad A. Shafiq; Motaz Alfarraj (CoRR, 2018)

Subsurface Structure Analysis Using Computational Interpretation and Learning: A Visual Signal Processing Perspective. - Ghassan AlRegib; Mohamed A. Deriche; Zhiling Long; Haibin Di; Zhen Wang 007; Yazeed Alaudah; Muhammad Amir Shafiq; Motaz Alfarraj (IEEE Signal Process. Mag., 2018)

A Machine Learning Benchmark for Facies Classification. - Yazeed Alaudah; Patrycja Michalowicz; Motaz Alfarraj; Ghassan AlRegib (CoRR, 2019)

Petrophysical property estimation from seismic data using recurrent neural networks. - Motaz Alfarraj; Ghassan AlRegib (CoRR, 2019)

Characterization of migrated seismic volumes using texture attributes: a comparative study. - Zhiling Long; Yazeed Alaudah; Muhammad Ali Qureshi; Motaz Al Farraj; Zhen Wang 007; Asjad Amin; Mohamed A. Deriche; Ghassan AlRegib (CoRR, 2019)

Semi-supervised Sequence Modeling for Elastic Impedance Inversion. - Motaz Alfarraj; Ghassan AlRegib (CoRR, 2019)

LANDMASS. - Ghassan AlRegib; Yazeed Alaudah; Motaz Alfarraj (IEEE DataPort, 2019)

Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset. - Yuting Hu 001; Zhiling Long; Anirudha Sundaresan; Motaz Alfarraj; Ghassan AlRegib; Sungmee Park; Sundaresan Jayaraman (CoRR, 2020)

Facies-Mark: A Machine Learning Benchmark for Facies Classification. - Ghassan Alregib; Yazeed Alaudah; Patrycja Michalowicz; Motaz Alfarraj (IEEE DataPort, 2020)

CoMMonS: Challenging Microscopic Material Surface Dataset. - Yuting Hu 001; Zhiling Long; Anirudha Sundaresan; Motaz Alfarraj; Ghassan AlRegib (IEEE DataPort, 2020)

Meta-Optimization of Deep CNN for Image Denoising Using LSTM. - Basit Olakunle Alawode; Motaz Alfarraj (CoRR, 2021)

Efficient Self-Calibrated Convolution for Real-Time Image Super-Resolution. - Adnan Hamida; Motaz Alfarraj; Salam A. Zummo (ICIP, 2022)

Automatic Hajj and Umrah Ritual Detection Using IMU Sensors. - Khalil Chikhaoui; Mohammed Elrashidy; Motaz Alfarraj; Ali H. Muqaibel; Rida Sadagah; Abdullah Sharqawi (IEEE Access, 2022)

Recursions Are All You Need: Towards Efficient Deep Unfolding Networks. - Rawwad Alhejaili; Motaz Alfarraj; Hamzah Luqman; Ali Al-Shaikhi (CVPR Workshops, 2023)

ESC-PAN: An Efficient CNN Architecture for Image Super-Resolution. - Adnan Hamida; Motaz Alfarraj; Salam A. Zummo (IEEE Access, 2023)

Facies-Guided Seismic Image Super-Resolution. - Adnan Hamida; Motaz Alfarraj; Abdullatif A. Al-Shuhail; Salam A. Zummo (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Seismic CS: A Deep Learning Assisted Compressive Sensing for Seismic Data. - Naveed Iqbal 001; Mudassir Masood; Motaz Alfarraj; Umair bin Waheed (IEEE Trans. Geosci. Remote. Sens., 2023)

The KIND Dataset: A Social Collaboration Approach for Nuanced Dialect Data Collection. - Asma Z. Yamani; Raghad Alziyady; Reem AlYami; Salma Albelali; Leina Albelali; Jawharah Almulhim; Amjad K. Alsulami; Motaz Alfarraj; Rabeah A. Al-Zaidy (EACL (Student Research Workshop), 2024)

Object-Aware Adaptive Image Retargeting Via Importance Map Fusion. - Ziyad Alswaidan; M. Hashem Shullar; Khalil Chikhaoui; Motaz Alfarraj (ICIP, 2024)

Advancing Colorectal Polyp Segmentation With Watershed Algorithm-Enhanced Parallel Self-Supervised Learning. - Khalil Chikhaoui; Motaz Alfarraj (ICIP, 2024)

Real-Time Monitoring of Personal Protective Equipment Compliance in Surveillance Cameras. - Sadam Al-Azani; Hamzah Luqman; Motaz Alfarraj; Ala Addin I. Sidig; Ayaz H. Khan; Dina Al-Hamed (IEEE Access, 2024)

Deep reinforcement learning with light-weight vision model for sequential robotic object sorting. - Emmanuel Okafor; Mojeed Opeyemi Oyedeji; Motaz Alfarraj (J. King Saud Univ. Comput. Inf. Sci., 2024)

Geology-constrained dynamic graph convolutional networks for seismic facies classification. - Ziyad Alswaidan; Motaz Alfarraj; Hamzah Luqman (Comput. Geosci., 2024)

Contrastive-based YOLOv7 for personal protective equipment detection. - Hussein Samma; Sadam Al-Azani; Hamzah Luqman; Motaz Alfarraj (Neural Comput. Appl., 2024)

Explainable deep learning diagnostic system for prediction of lung disease from medical images. - Nussair Adel Hroub; Ali Nader Alsannaa; Maad Alowaifeer; Motaz Alfarraj; Emmanuel Okafor (Comput. Biol. Medicine, 2024)

Interpretable Deep Learning for Classifying Skin Lesions. - Mojeed Opeyemi Oyedeji; Emmanuel Okafor; Hussein Samma; Motaz Alfarraj (Int. J. Intell. Syst., 2025)

Listen to your gradients: Integrating gradients into deep unfolding networks. - Rawwad Alhejaili; Motaz Alfarraj; Ali Al-Shaikhi (Pattern Recognit. Lett., 2025)