23 citations · 70 across the 17 of their papers we have counts for
14 papers · 1 filter
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…
A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology
Hassan Keshvarikhojasteh, Mihail Tifrea, Sibylle Hess +2
Multiple instance learning (MIL) is a promising approach for weakly supervised classification in pathology using whole slide images (WSIs). However, conventional MIL methods such a…
Adaptive Prototype Learning for Multimodal Cancer Survival Analysis
Hong Liu, Haosen Yang, Federica Eduati +2
Leveraging multimodal data, particularly the integration of whole-slide histology images (WSIs) and transcriptomic profiles, holds great promise for improving cancer survival predi…
World of Forms: Deformable Geometric Templates for One-Shot Surface Meshing in Coronary CT Angiography
Rudolf L. M. van Herten, Ioannis Lagogiannis, Jelmer M. Wolterink +8
Deep learning-based medical image segmentation and surface mesh generation typically involve a sequential pipeline from image to segmentation to meshes, often requiring large train…
Tissue Cross-Section and Pen Marking Segmentation in Whole Slide Images
Ruben T. Lucassen, Willeke A. M. Blokx, Mitko Veta
Tissue segmentation is a routine preprocessing step to reduce the computational cost of whole slide image (WSI) analysis by excluding background regions. Traditional image processi…
Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation
Didier R. P. R. M. Lustermans, Sina Amirrajab, Mitko Veta +2
Background: The clinical utility of late gadolinium enhancement (LGE) cardiac MRI is limited by the lack of standardization, and time-consuming postprocessing. In this work, we tes…