Publications of Ernst Scholten

2026

Abstracts

  1. R. Dinnessen, N. Antonissen, D. Peeters, H. Gietema, F. Mohamed Hoesein, E. Scholten, C. Schaefer-Prokop and C. Jacobs, "Performance and generalisability of a screening-trained deep learning model for pulmonary nodule malignancy risk estimation on a multicentre dataset of incidental nodules", European Congress of Radiology, 2026.
    Abstract
  2. A. Cerrato Nieto, E. Scholten, S. Schalekamp, M. Prokop and C. Jacobs, "Benchmarking lung tumour segmentation models: stratified performance of deep learning models across tumour sizes and cancer stages", European Congress of Radiology, 2026.
    Abstract