Identification of novel prognostic markers in cervical intraepithelial neoplasia using LDMAS (LOH Data Management and Analysis Software). - Rifat A. Hamoudi; Amina El-Hamidi; Ming-Qing Du (BMC Bioinform., 2005)

MIAT: A novel attribute selection approach to better predict upper gastrointestinal cancer. - Avi Rosenfeld; David G. Graham; Rifat A. Hamoudi; Rommel Butawan; Victor Eneh; Saif Khan; Haroon Miah; Mahesan Niranjan; Laurence B. Lovat (DSAA, 2015)

Identifying Asthma genetic signature patterns by mining Gene Expression BIG Datasets using Image Filtering Algorithms. - Mahmood Yaseen Hachim; Bassam Mahboub; Qutayba Hamid; Rifat A. Hamoudi (IST, 2019)

Identifying Patterns of Breast Cancer Genetic Signatures using Unsupervised Machine Learning. - Rifat A. Hamoudi; Meriem Bettayeb; Areej Alsaafin; Mahmood Hachim; Qassim Nasir; Ali Bou Nassif (IST, 2019)

Semi-Automated Image Analysis Methodology to Investigate Intracellular Heterogeneity in Immunohistochemical Stained Sections. - Rifat A. Hamoudi; Sarah Hammoudeh; Arabella Hammoudeh; Surendra Rawat (IST, 2019)

Artificial Intelligence Analysis of the Gene Expression of Follicular Lymphoma Predicted the Overall Survival and Correlated with the Immune Microenvironment Response Signatures. - Joaquim Carreras; Yara Yukie Kikuti; Masashi Miyaoka; Shinichiro Hiraiwa; Sakura Tomita; Haruka Ikoma; Yusuke Kondo; Atsushi Ito; Naoya Nakamura; Rifat A. Hamoudi (Mach. Learn. Knowl. Extr., 2020)

Identifying Diagnostic and Prognostic Targets for Papillary Thyroid Carcinoma Through Mining Gene Expression BIG Datasets Using Adaptive Filtering and Advanced Bioinformatics Algorithms. - Asma Almansoori; Poorna Manasa Bhamidimarri; Riyad Bendardaf; Rifat Hamoudi (DeSE, 2021)

Artificial Neural Network Analysis of Gene Expression Data Predicted Non-Hodgkin Lymphoma Subtypes with High Accuracy. - Joaquim Carreras; Rifat A. Hamoudi (Mach. Learn. Knowl. Extr., 2021)

Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks. - Maria Zubrikhina; Dmitrii Masnyi; Rifat Hamoudi; Hamid Alhaj; Bashar Issa; Almira Kustubaeva; Altyngul T. Kamzanova; Manzura Zholdassova; Alexander Bernstein; Evgeny Burnaev; Alexey Artemov; Maxim Sharaev (ICMV, 2022)

Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability. - Faseela Abdullakutty; Younes Akbari; Somaya Al-Máadeed; Ahmed Bouridane; Rifat Hamoudi (CoRR, 2024)

Incorporating time as a third dimension in transcriptomic analysis using machine learning and explainable AI. - Zubaida Said Ameen; Auwalu Saleh Mubarak; Mohamad Hamad; Rifat Hamoudi; Sherlyn Jemimah; Dilber Uzun Ozsahin; Mawieh Hamad (Comput. Biol. Chem., 2025)

A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology. - Svetlana Illarionova; Rifat A. Hamoudi; M. Zapevalina; I. Fedin; Nadezhda Alsahanova; Alexander Bernstein; Evgeny Burnaev; V. Alferova; Ekaterina Khrameeva; D. Shadrin; I. Talaat; Ahmed Bouridane; et al. (Inf. Sci., 2025)

FS-Net: Full scale network and adaptive threshold for improving extraction of micro-retinal vessel structures. - Melaku N. Getahun; Oleg Y. Rogov; Dmitry V. Dylov; Andrey Somov; Ahmed Bouridane; Rifat Hamoudi (Pattern Recognit. Lett., 2025)

Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation. - Faseela Abdullakutty; Younes Akbari; Somaya Al-Máadeed; Ahmed Bouridane; Rifat Hamoudi (Cogn. Comput., 2025)

Boundary-Aware Vision Transformer for Angiography Vascular Network Segmentation. - Nabil Hezil; Suraj Singh; Vita V. Vlasova; Oleg Rogov; Ahmed Bouridane; Rifat Hamoudi (CoRR, 2025)