By Mr Raktim Kumar Mondol

Journal articles

Mondol RK; Millar EKA; Graham PH; Browne L; Sowmya A; Meijering E, 2025, 'GRAPHITE: Graph-based interpretable tissue examination for enhanced explainability in breast cancer histopathology', Computers in Biology and Medicine, 197, http://dx.doi.org/10.1016/j.compbiomed.2025.111106

Mondol RK; Millar EKA; Sowmya A; Meijering E, 2024, 'BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion', IEEE Journal of Biomedical and Health Informatics, 28, pp. 5290 - 5302, http://dx.doi.org/10.1109/JBHI.2024.3418341

Mondol RK; Millar EKA; Graham PH; Browne L; Sowmya A; Meijering E, 2023, 'hist2RNA: An Efficient Deep Learning Architecture to Predict Gene Expression from Breast Cancer Histopathology Images', Cancers, 15, pp. 2569, http://dx.doi.org/10.3390/cancers15092569

Mondol RK; Truong ND; Reza M; Ippolito S; Ebrahimie E; Kavehei O, 2022, 'AFExNet: An Adversarial Autoencoder for Differentiating Breast Cancer Sub-Types and Extracting Biologically Relevant Genes', IEEE ACM Transactions on Computational Biology and Bioinformatics, 19, pp. 2060 - 2070, http://dx.doi.org/10.1109/TCBB.2021.3066086

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