Thomas de Bel

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

B. van Ginneken, G. Litjens, J. A. van der Laak, 2020, The Lancet. Oncology.

Deep Learning-Based Histopathologic Assessment of Kidney Tissue.

Bart Smeets, Meyke Hermsen, Jesper Kers, 2019, Journal of the American Society of Nephrology : JASN.

Serum hormone levels and normal breast histology among premenopausal women

R. Vierkant, M. Jensen, J. A. van der Laak, 2022, Breast Cancer Research and Treatment.

Automated prediction of low ferritin concentrations using a machine learning algorithm

Thomas de Bel, R. Kusters, Jasmijn A. van Balveren, 2022, Clinical chemistry and laboratory medicine.

Serum hormone levels and normal breast histology among premenopausal women

R. Vierkant, M. Jensen, J. A. van der Laak, 2022, Breast Cancer Research and Treatment.

Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence

Raymond M. Moore, R. Vierkant, C. Vachon, 2022, Breast cancer research : BCR.

Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics

G. Litjens, J. A. van der Laak, M. Balkenhol, 2021, Breast.

Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer

Alexi Baidoshvili, Lionel Blanchet, Geert Litjens, 2020, Scientific Reports.

Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning

R. Vierkant, G. Litjens, J. A. van der Laak, 2022, npj Breast Cancer.

Artificial Intelligence in Pediatric Pathology: The Extinction of a Medical Profession or the Key to a Bright Future?

J. A. van der Laak, Thomas de Bel, R. D. de Krijger, 2022, Pediatric and developmental pathology : the official journal of the Society for Pediatric Pathology and the Paediatric Pathology Society.

Automated Deep Learning-Based Classification of Wilms Tumor Histopathology

J. A. van der Laak, Thomas de Bel, R. D. de Krijger, 2023, Cancers.

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

B. van Ginneken, G. Litjens, J. A. van der Laak, 2019, The Lancet. Oncology.