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Project

Deep learning models for predicting molecular tumor properties directly from Whole Slide images

Information

Project Team

Outputs and Outcomes

Publications

Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models

Francisco Carrillo-PerezMarija PizuricaYuanning ZhengTarak Nath NandiRavi MadduriJeanne ShenOlivier Gevaert

A1 Journal Article in NATURE BIOMEDICAL ENGINEERING

2024

Whole slide imaging-based prediction of TP53 mutations identifies an aggressive disease phenotype in prostate cancer

Marija PizuricaMaarten LarmuseauKim Van der EeckenLouise de Schaetzen van BrienenFrancisco Carrillo-PerezSimon IsphordingNicolaas LumenJo Van DorpePiet OstSofie VerbekeOlivier GevaertKathleen Marchal et al.

A1 Journal Article in CANCER RESEARCH

2023