Rifat Hamoudi
Orcid: 0000-0002-1402-0868
According to our database1,
Rifat Hamoudi authored at least 24 papers
between 2005 and 2026.
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Bibliography
2026
Denoising diffusion probabilistic model as a GAN generator for breast cancer histology images segmentation.
Neural Comput. Appl., March, 2026
Clinically Aligned AI for Diabetic Retinopathy: Interpretable Grading Based on Lesion Segmentation.
Int. J. Imaging Syst. Technol., January, 2026
Integrating histopathology and genomic data: a comparative study of fusion methods for breast cancer survival prediction.
Complex Intell. Syst., 2026
A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection.
Comput. Medical Imaging Graph., 2026
Biomed. Signal Process. Control., 2026
Multi-Scale Attention Framework with Transformer Architecture for Explainable Chest X-Ray Report Generation.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
2025
CoRR, June, 2025
Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation.
Cogn. Comput., June, 2025
FS-Net: Full scale network and adaptive threshold for improving extraction of micro-retinal vessel structures.
Pattern Recognit. Lett., 2025
A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology.
Inf. Sci., 2025
Dataset and AI Workflow for Deep Learning Image Classification of Ulcerative Colitis and Colorectal Cancer.
Data, 2025
Incorporating time as a third dimension in transcriptomic analysis using machine learning and explainable AI.
Comput. Biol. Chem., 2025
Proceedings of the Fourteenth International Conference on Image Processing, 2025
2024
Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability.
CoRR, 2024
2022
Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks.
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.
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.
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.
Mach. Learn. Knowl. Extr., 2020
2019
Semi-Automated Image Analysis Methodology to Investigate Intracellular Heterogeneity in Immunohistochemical Stained Sections.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019
Identifying Patterns of Breast Cancer Genetic Signatures using Unsupervised Machine Learning.
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.
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.
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).
BMC Bioinform., 2005