Ewan K. A. Millar

According to our database, Ewan K. A. Millar authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, September, 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, Erik Meijering

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Histopathology Image Classification Using Supervised Contrastive Deep Learning.

Md Mamunur Rahaman, Ewan K. A. Millar, Erik Meijering

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

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