Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning. - Md Mamunur Rahaman; Ewan K. A. Millar; Erik Meijering (CoRR, 2023)

hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images. - Raktim Kumar Mondol; Ewan K. A. Millar; Peter H. Graham; Lois Browne; Arcot Sowmya; Erik Meijering (CoRR, 2023)

MM-Survnet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion. - Raktim Kumar Mondol; Ewan K. A. Millar; Arcot Sowmya; Erik Meijering (ISBI, 2024)

Histopathology Image Classification Using Supervised Contrastive Deep Learning. - Md Mamunur Rahaman; Ewan K. A. Millar; Erik Meijering (ISBI, 2024)

Semi-Supervised Variational Autoencoder for Cell Feature Extraction In Multiplexed Immunofluorescence Images. - Piumi Sandarenu; Julia Chen; Iveta Slapetova; Lois Browne; Peter H. Graham; Alexander Swarbrick; Ewan K. A. Millar; Yang Song 001; Erik Meijering (ISBI, 2024)

BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion. - Raktim Kumar Mondol; Ewan K. A. Millar; Arcot Sowmya; Erik Meijering (IEEE J. Biomed. Health Informatics, 2024)

GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology. - Raktim Kumar Mondol; Ewan K. A. Millar; Peter H. Graham; Lois Browne; Arcot Sowmya; Erik Meijering (CoRR, 2025)

Leveraging Vision-Language Embeddings for Zero-Shot Learning in Histopathology Images. - Md Mamunur Rahaman; Ewan K. A. Millar; Erik Meijering (CoRR, 2025)