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2020 – today
- 2026
[j11]Younes Akbari, Faseela Abdullakutty, Somaya Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi
:
Dynamic model scaling based on segmented tumor size for breast cancer detection. Biomed. Signal Process. Control. 113: 109118 (2026)- [j10]Younes Akbari, Faseela Abdullakutty, Somaya Al-Máadeed, Rafif Al-Saady, Ahmed Bouridane, Rifat Hamoudi:
A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection. Comput. Medical Imaging Graph. 127: 102687 (2026) - [j9]Nabil Hezil, Ahmed Bouridane, Rifat Hamoudi, Mohamed Deriche, Fouzi Harrag:
Clinically Aligned AI for Diabetic Retinopathy: Interpretable Grading Based on Lesion Segmentation. Int. J. Imaging Syst. Technol. 36(1) (2026) - 2025
- [j8]Zubaida Said Ameen, Auwalu Saleh Mubarak, Mohamad Hamad, Rifat Hamoudi, Sherlyn Jemimah, Dilber Uzun Ozsahin, Mawieh Hamad:
Incorporating time as a third dimension in transcriptomic analysis using machine learning and explainable AI. Comput. Biol. Chem. 117: 108432 (2025) - [j7]Faseela Abdullakutty, Younes Akbari, Somaya Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi:
Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation. Cogn. Comput. 17(3): 114 (2025) - [j6]Joaquim Carreras, Giovanna Roncador, Rifat Hamoudi:
Dataset and AI Workflow for Deep Learning Image Classification of Ulcerative Colitis and Colorectal Cancer. Data 10(7): 99 (2025) - [j5]Svetlana Illarionova, Rifat A. Hamoudi, Margarita Zapevalina, Ilya Fedin, Nadezhda Alsahanova, Alexander Bernstein, Evgeny Burnaev, Vera Alferova, Ekaterina Khrameeva, D. Shadrin, Iman Talaat, Ahmed Bouridane, Maxim Sharaev:
A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology. Inf. Sci. 686: 121358 (2025) - [j4]Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi:
FS-Net: Full scale network and adaptive threshold for improving extraction of micro-retinal vessel structures. Pattern Recognit. Lett. 189: 188-194 (2025) - [c7]Svetlana Illarionova, Maxim Sharaev, Fedor Gubanov, Rifat Hamoudi:
Generative AI for Virtual Staining in Histopathological Data Analysis. IPTA 2025: 1 - [i3]Nabil Hezil, Suraj Singh, Vita V. Vlasova, Oleg Rogov, Ahmed Bouridane, Rifat Hamoudi:
Boundary-Aware Vision Transformer for Angiography Vascular Network Segmentation. CoRR abs/2506.12980 (2025) - 2024
- [i2]Faseela Abdullakutty, Younes Akbari, Somaya Al-Máadeed, Ahmed Bouridane, Rifat Hamoudi:
Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability. CoRR abs/2406.12897 (2024) - 2023
- [i1]Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi:
FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures. CoRR abs/2311.08059 (2023) - 2022
- [c6]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:
Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks. ICMV 2022 - 2021
- [j3]Joaquim Carreras, Rifat A. Hamoudi:
Artificial Neural Network Analysis of Gene Expression Data Predicted Non-Hodgkin Lymphoma Subtypes with High Accuracy. Mach. Learn. Knowl. Extr. 3(3): 720-739 (2021) - [c5]Asma Almansoori, Poorna Manasa Bhamidimarri, Riyad Bendardaf, Rifat Hamoudi:
Identifying Diagnostic and Prognostic Targets for Papillary Thyroid Carcinoma Through Mining Gene Expression BIG Datasets Using Adaptive Filtering and Advanced Bioinformatics Algorithms. DeSE 2021: 358-363 - 2020
- [j2]Joaquim Carreras, Yara Yukie Kikuti, Masashi Miyaoka, Shinichiro Hiraiwa, Sakura Tomita, Haruka Ikoma, Yusuke Kondo, Atsushi Ito, Naoya Nakamura, Rifat A. Hamoudi:
Artificial Intelligence Analysis of the Gene Expression of Follicular Lymphoma Predicted the Overall Survival and Correlated with the Immune Microenvironment Response Signatures. Mach. Learn. Knowl. Extr. 2(4): 647-671 (2020)
2010 – 2019
- 2019
- [c4]Mahmood Yaseen Hachim, Bassam Mahboub, Qutayba Hamid, Rifat A. Hamoudi:
Identifying Asthma genetic signature patterns by mining Gene Expression BIG Datasets using Image Filtering Algorithms. IST 2019: 1-6 - [c3]Rifat A. Hamoudi, Meriem Bettayeb, Areej Alsaafin, Mahmood Hachim, Qassim Nasir, Ali Bou Nassif:
Identifying Patterns of Breast Cancer Genetic Signatures using Unsupervised Machine Learning. IST 2019: 1-6 - [c2]Rifat A. Hamoudi, Sarah Hammoudeh, Arabella Hammoudeh, Surendra Rawat:
Semi-Automated Image Analysis Methodology to Investigate Intracellular Heterogeneity in Immunohistochemical Stained Sections. IST 2019: 1-4 - 2015
- [c1]Avi Rosenfeld, David G. Graham, Rifat A. Hamoudi, Rommel Butawan, Victor Eneh, Saif Khan, Haroon Miah, Mahesan Niranjan, Laurence B. Lovat:
MIAT: A novel attribute selection approach to better predict upper gastrointestinal cancer. DSAA 2015: 1-7
2000 – 2009
- 2005
- [j1]Rifat A. Hamoudi, Amina El-Hamidi, Ming-Qing Du:
Identification of novel prognostic markers in cervical intraepithelial neoplasia using LDMAS (LOH Data Management and Analysis Software). BMC Bioinform. 6: 18 (2005)
Coauthor Index
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