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Thomas de Bel
Thomas de Bel
PhD Candidate, Radboud University Medical Center, Computational Pathology Group
Verified email at radboudumc.nl
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Cited by
Year
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge
AAA Setio, A Traverso, T De Bel, MSN Berens, C Van Den Bogaard, ...
Medical image analysis 42, 1-13, 2017
10312017
Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
W Bulten, H Pinckaers, H van Boven, R Vink, T de Bel, B van Ginneken, ...
The Lancet Oncology 21 (2), 233-241, 2020
5362020
Deep learning–based histopathologic assessment of kidney tissue
M Hermsen, T de Bel, M Den Boer, EJ Steenbergen, J Kers, S Florquin, ...
Journal of the American Society of Nephrology 30 (10), 1968-1979, 2019
2582019
Stain-transforming cycle-consistent generative adversarial networks for improved segmentation of renal histopathology
T de Bel, M Hermsen, J Kers, J van der Laak, G Litjens
942018
Residual cyclegan for robust domain transformation of histopathological tissue slides
T de Bel, JM Bokhorst, J van der Laak, G Litjens
Medical Image Analysis 70, 102004, 2021
732021
Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer
Z Swiderska-Chadaj, T de Bel, L Blanchet, A Baidoshvili, D Vossen, ...
Scientific Reports 10 (1), 14398, 2020
602020
Automatic segmentation of histopathological slides of renal tissue using deep learning
T de Bel, M Hermsen, B Smeets, L Hilbrands, J van der Laak, G Litjens
Medical Imaging 2018: Digital Pathology 10581, 285-290, 2018
542018
Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics
MCA Balkenhol, F Ciompi, Ż Świderska-Chadaj, R van de Loo, M Intezar, ...
The Breast 56, 78-87, 2021
222021
Automated prediction of low ferritin concentrations using a machine learning algorithm
S Kurstjens, T De Bel, A van der Horst, R Kusters, J Krabbe, ...
Clinical Chemistry and Laboratory Medicine (CCLM) 60 (12), 1921-1928, 2022
142022
Renal phospholipidosis and impaired magnesium handling in high‐fat‐diet–fed mice
S Kurstjens, B Smeets, C Overmars-Bos, HB Dijkman, DJW den Braanker, ...
The FASEB Journal 33 (6), 7192-7201, 2019
142019
Structure instance segmentation in renal tissue: A case study on tubular immune cell detection
T de Bel, M Hermsen, G Litjens, J van der Laak
Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018
82018
Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning
T de Bel, G Litjens, J Ogony, M Stallings-Mann, JM Carter, T Hilton, ...
NPJ breast cancer 8 (1), 13, 2022
62022
Artificial Intelligence in Pediatric Pathology: The Extinction of a Medical Profession or the Key to a Bright Future?
A van der Kamp, TJ Waterlander, T de Bel, J van der Laak, ...
Pediatric and Developmental Pathology 25 (4), 380-387, 2022
52022
Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence
J Ogony, T de Bel, DC Radisky, J Kachergus, EA Thompson, AC Degnim, ...
Breast Cancer Research 24 (1), 45, 2022
12022
Automated Deep Learning-Based Classification of Wilms Tumor Histopathology
A van der Kamp, T de Bel, L van Alst, J Rutgers, ...
Cancers 15 (9), 2656, 2023
2023
High resolution microCT to analyze the 3D morphology of microcalcifications in benign breast disease and breast cancer biopsy tissues
SE Schrup, T de Bel, T Hoskin, T Allers, S Winham, D Radisky, ...
Cancer Research 83 (7_Supplement), 3587-3587, 2023
2023
Serum hormone levels and normal breast histology among premenopausal women
ME Sherman, T de Bel, MG Heckman, LJ White, J Ogony, ...
Breast cancer research and treatment 194 (1), 149-158, 2022
2022
Abstract P2-11-14: Pathology AI features and immune biomarkers of postpartum involution: Implications for postpartum breast cancer
JW Ogony, T De Bel, D Radisky, J VanderLaak, M Sherman
Cancer Research 82 (4_Supplement), P2-11-14-P2-11-14, 2022
2022
Optimised tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics
M Balkenhol, F Ciompi, Z Swiderska-Chadaj, R van de Loo, M Intezar, ...
VIRCHOWS ARCHIV 477, S36-S37, 2020
2020
Discrimination of benign breast disease from normal lobules using an automated computational pathology algorithm
AC Degnim, T de Bel, ME Sherman, DC Radisky, SJ Winham, TL Hoskin, ...
Cancer Research 80 (16_Supplement), 2113-2113, 2020
2020
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