Thomas de Bel

According to our database, Thomas de Bel authored at least 7 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Residual cyclegan for robust domain transformation of histopathological tissue slides.

Thomas de Bel, John-Melle Bokhorst, Jeroen van der Laak, Geert Litjens

Medical Image Anal., 2021

2019

Automated Gleason Grading of Prostate Biopsies using Deep Learning.

Wouter Bulten, Hans Pinckaers, Hester van Boven, Robert Vink, Thomas de Bel, Bram van Ginneken, Jeroen van der Laak, Christina A. Hulsbergen van de Kaa, Geert Litjens

CoRR, 2019

Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology.

Thomas de Bel, Meyke Hermsen, Jesper Kers, Jeroen van der Laak, Geert Litjens

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018

Automatic segmentation of histopathological slides of renal tissue using deep learning.

Thomas de Bel, Meyke Hermsen, Bart Smeets, Luuk Hilbrands, Jeroen van der Laak, Geert Litjens

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection.

Thomas de Bel, Meyke Hermsen, Geert Litjens, Jeroen van der Laak

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017

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

Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sóñora-Mengana, Juan Carlos García-Naranjo, Evgenia Papavasileiou, Mathias Prokop

Medical Image Anal., 2017

2016

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

Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sóñora-Mengana, Juan Carlos García-Naranjo, Mathias Prokop, Marco Saletta, Cornelia Schaefer-Prokop, Ernst Th. Scholten, Luuk Scholten, Miranda M. Snoeren, Ernesto Lopez Torres, Jef Vandemeulebroucke, Nicole Walasek, Guido C. A. Zuidhof, Bram van Ginneken, Colin Jacobs

CoRR, 2016