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Deep learning models for predicting molecular tumor properties directly from whole slide images
(2026) -
- Journal Article
- A1
- open access
Towards a more inductive world for drug repurposing approaches
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- Conference Paper
- C1
- open access
Prior knowledge injection into deep learning models predicting gene expression from whole slide images
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Synthetic multimodal data modelling for data imputation
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- Journal Article
- A1
- open access
GeNNius: an ultrafast drug-target interaction inference method based on graph neural networks
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- Journal Article
- A1
- open access
Digital profiling of gene expression from histology images with linearized attention
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- Journal Article
- A1
- open access
Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models
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Abstract LB272: Spatial cellular architecture predicts prognosis in glioblastoma
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Abstract 4270: Prediction of cancer transcriptomes from whole-slide images with Vis-Gene
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Towards a more inductive world for drug repurposing approaches