Rifat Hamoudi

According to our database, Rifat Hamoudi authored at least 15 papers between 2005 and 2025.

Collaborative distances:

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

2025

Boundary-Aware Vision Transformer for Angiography Vascular Network Segmentation.

Nabil Hezil, Suraj Singh, Vita V. Vlasova, Oleg Rogov, Ahmed Bouridane, Rifat Hamoudi

CoRR, June, 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., June, 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

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, Maxim Sharaev

Inf. Sci., 2025

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

2024

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

2022

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

Proceedings of the Fifteenth International Conference on Machine Vision, 2022

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

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

Proceedings of the 14th International Conference on Developments in eSystems Engineering, 2021

2020

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

2019

Semi-Automated Image Analysis Methodology to Investigate Intracellular Heterogeneity in Immunohistochemical Stained Sections.

Rifat A. Hamoudi, Sarah Hammoudeh, Arabella Hammoudeh, Surendra Rawat

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 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

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

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

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

2015

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

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2005

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