10 papers
Nuclear mechanics controls the temporal dynamics of cell unjamming
Leon Hillmann, Quirine J. S. Braat, Pablo Gottheil +9
Cell unjamming in dense tissues is a complex but essential process in embryogenesis and cancer metastasis. Increasing evidence suggests that nuclear mechanics and density effects p…
Attention-Based Multimodal Survival Prediction with Cross-Modal Bilinear Fusion
Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko Veta
We propose a novel multimodal deep learning framework for patient-level survival prediction, which integrates whole-slide histology features, RNA-seq expression profiles, and clini…
Data-driven Synthesis of Magnetic Resonance Spectroscopy Data using a Variational Autoencoder
Dennis M. J. van de Sande, Julian P. Merkofer, Sina Amirrajab +4
The development of deep learning methods for magnetic resonance spectroscopy (MRS) is often hindered by limited availability of large, high-quality training datasets. While physics…
Beyond accuracy: quantifying the reliability of Multiple Instance Learning for Whole Slide Image classification
Hassan Keshvarikhojasteh, Marc Aubreville, Christof A. Bertram +2
Machine learning models have become integral to many fields, but their reliability, defined as producing dependable, trustworthy, and domain-consistent predictions, remains a criti…
Artificial Intelligence-Based Classification of Spitz Tumors
Ruben T. Lucassen, Marjanna Romers, Chiel F. Ebbelaar +10
Spitz tumors are diagnostically challenging due to overlap in atypical histological features with conventional melanomas. We investigated to what extent AI models, using histologic…
On the Importance of Text Preprocessing for Multimodal Representation Learning and Pathology Report Generation
Ruben T. Lucassen, Tijn van de Luijtgaarden, Sander P. J. Moonemans +3
Vision-language models in pathology enable multimodal case retrieval and automated report generation. Many of the models developed so far, however, have been trained on pathology r…