Search results (13)
« Back to PublicationsConfounding factors and biases abound when predicting molecular biomarkers from histological images.
Journal article
Dawood M. et al, (2026), Nat Biomed Eng
Redefining the topology of the human bone marrow using augmented spatial transcriptomic analysis
Preprint
Cooper RA. et al, (2025)
HistoKernel: Whole slide image level Maximum Mean Discrepancy kernels for pan-cancer predictive modelling.
Journal article
Keller P. et al, (2025), Med Image Anal, 101
Cancer drug sensitivity prediction from routine histology images.
Journal article
Dawood M. et al, (2024), NPJ Precis Oncol, 8
SynCLay: Interactive synthesis of histology images from bespoke cellular layouts.
Journal article
Deshpande S. et al, (2024), Med Image Anal, 91
Buyer Beware: confounding factors and biases abound when predicting omics-based biomarkers from histological images
Preprint
Dawood M. et al, (2024)
Buyer Beware: confounding factors and biases abound when predicting omics-based biomarkers from histological images
Preprint
Dawood M. et al, (2024)
Cross-linking breast tumor transcriptomic states and tissue histology.
Journal article
Dawood M. et al, (2023), Cell Rep Med, 4
Data-Driven Modelling of Gene Expression States in Breast Cancer and their Prediction from Routine Whole Slide Images
Preprint
Dawood M. et al, (2023)
SlideGraph+: Whole slide image level graphs to predict HER2 status in breast cancer.
Journal article
Lu W. et al, (2022), Med Image Anal, 80
All You Need is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning
Conference paper
Dawood M. et al, (2021), MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, PT II, 1525, 437 - 450