Millar, Ewan

A single-cell and spatially resolved atlas of human breast cancers

Wu, S. Z., Al-Eryani, G., Roden, D. L., Junankar, S., Harvey, K., Andersson, A., Thennavan, A., Wang, C., Torpy, J. R., Bartonicek, N., et al. (2021) · Nature Genetics

Single-cell and spatial transcriptomicsBreast Cancer Treatment Studies

Cited by 1,775

A foundation model for clinical-grade computational pathology and rare cancers detection

Vorontsov, E., Bozkurt, A., Casson, A., Shaikovski, G., Zelechowski, M., Severson, K., Zimmermann, E., Hall, J., Tenenholtz, N., Fusi, N., et al. (2024) · Nature Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 572

MASTL overexpression promotes chromosome instability and metastasis in breast cancer

Rogers, S., McCloy, R. A., Parker, B. L., Gallego-Ortega, D., Law, A. M. K., Chin, V. T., Conway, J. R. W., Fey, D., Millar, E. K. A., O’Toole, S., et al. (2018) · Oncogene

Microtubule and mitosis dynamicsCancer-related Molecular Pathways

Cited by 67

BioFusionNet: Deep learning-based survival risk stratification in ER+ breast cancer through multifeature and multimodal data fusion

Mondol, R. K., Millar, E. K. A., Sowmya, A., & Meijering, E. (2024) · IEEE Journal of Biomedical and Health Informatics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 29