Thomas de Bel

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

Arnaud A. A. Setio, Alberto Traverso, Thomas de Bel et al. · Medical Image Analysis · 2017 · 1.3K citations · Full text

Medicine, Radiology, Diagnostic Imaging +12

Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study

Wouter Bulten, Hans Pinckaers, Hester van Boven et al. · The Lancet Oncology · 2020 · 687 citations · Full text

Medicine, Pathology, Urology +17

Deep Learning–Based Histopathologic Assessment of Kidney Tissue

Meyke Hermsen, Thomas de Bel, Marjolijn den Boer et al. · Journal of the American Society of Nephrology · 2019 · 350 citations · Full text

Medicine, Biomedical Engineering, Pathology +14

Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study

Wouter Bulten, Hans Pinckaers, Hester van Boven et al. · arXiv (Cornell University) · 2020 · 112 citations · Full text

Medicine, Pathology, Urology +17

Residual cyclegan for robust domain transformation of histopathological tissue slides

Thomas de Bel, John‐Melle Bokhorst, Jeroen van der Laak et al. · Medical Image Analysis · 2021 · 97 citations · Full text

Computing, Computer Science, Pathology +14