Technical

AI-Based Phenotyping of Soft Tissue Tumors from Histopathology Images
Developing trustworthy AI methods for diagnosis, phenotying, grading, and treatment response prediction
Karthik Prathaban, Martijn P. A. Starmans
AI-Based Phenotyping of Soft Tissue Tumors from Histopathology Images
Automated Deep Learning for Soft-Tissue Tumor Classification Using Meta-Learning and AutoML
Eliminating the need for any manual tuning
Natalia Oviedo Acosta, Martijn P. A. Starmans
Automated Deep Learning for Soft-Tissue Tumor Classification Using Meta-Learning and AutoML
Benchmarking AutoML and Meta-Learning on Medical Image Classification
Create a publicly available benchmark for medical image classification
Natalia Oviedo Acosta, Martijn P. A. Starmans
Benchmarking AutoML and Meta-Learning on Medical Image Classification
Dynamic Preprocessing Pipeline for Soft Tissue Tumor Classification
Developing learnable and efficient preprocessing layers
Natalia Oviedo Acosta, Martijn P. A. Starmans
Dynamic Preprocessing Pipeline for Soft Tissue Tumor Classification
From Image to Insight; Can Vision Language Models see like Radiologists?
Developing trustworthy AI methods for liver tumor phenotyping
Frederik Hartmann, Ruben Niemantsverdriet, Martijn P. A. Starmans
From Image to Insight; Can Vision Language Models see like Radiologists?
Predicting CTNNB1 S45F Mutation in Desmoid Tumors from H&E-Stained Histopathology Images
Developing trustworthy AI methods for a clinical need
Karthik Prathaban, Martijn P. A. Starmans
Predicting CTNNB1 S45F Mutation in Desmoid Tumors from H&E-Stained Histopathology Images