469 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of OuluFI13 papers
- Imperial College LondonGB3 papers
- KU LeuvenBE3 papers
- Masaryk UniversityCZ3 papers
- University Medical Center UtrechtNL3 papers
- Broad InstituteUS2 papers
- Centre Inria de SaclayFR2 papers
- Consejo Nacional de Investigaciones Científicas y TécnicasAR2 papers
- Deutsches Konsortium für Translationale KrebsforschungDE2 papers
- DKFZ-ZMBH AllianceDE2 papers
- Erasmus MCNL2 papers
- European Molecular Biology LaboratoryDE2 papers
4 papers · 1 filter
Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer
Liisa Petäinen, Juha P. Väyrynen, Pekka Ruusuvuori +3
Tumor-stroma ratio (TSR) is a prognostic factor for many types of solid tumors. In this study, we propose a method for automated estimation of TSR from histopathological images of…
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data
Huy Hoang Nguyen, Matthew B. Blaschko, Simo Saarakkala +1
Deep neural networks are often applied to medical images to automate the problem of medical diagnosis. However, a more clinically relevant question that practitioners usually face…
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein, Annika Reinke, Patrick Godau +71
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen…
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning
Egor Panfilov, Simo Saarakkala, Miika T. Nieminen +1
Accurate prediction of knee osteoarthritis (KOA) progression from structural MRI has a potential to enhance disease understanding and support clinical trials. Prior art focused on…