most citedBioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion

27 citations · 31 across the 5 of their papers we have counts for

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eess.IV2025★ 3 cited

GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology

Raktim Kumar Mondol, Ewan K. A. Millar, Peter H. Graham +3

Explainable AI (XAI) in medical histopathology is essential for enhancing the interpretability and clinical trustworthiness of deep learning models in cancer diagnosis. However, th…

eess.IV2024

Semi-supervised variational autoencoder for cell feature extraction in multiplexed immunofluorescence images

Piumi Sandarenu, Julia Chen, Iveta Slapetova +6

Advancements in digital imaging technologies have sparked increased interest in using multiplexed immunofluorescence (mIF) images to visualise and identify the interactions between…