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Thomas de Bel

Observed names: Bel, Thomas de, T. de Bel, Thomas De Bel, de Bel, Thomas
ORCID: 0000-0003-1635-0841
Observed ORCID: 0000-0003-1635-0841
OpenAlex ID: A5084461663
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
2017 · Arnaud Arindra Adiyoso Setio, Alberto Traverso, et al. · Medical Image Analysis · 1,376
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Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
2020 · Wouter Bulten, Hans Pinckaers, et al. · The Lancet Oncology · 696
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Deep Learning–Based Histopathologic Assessment of Kidney Tissue
2019 · Meyke Hermsen, Thomas de Bel, et al. · Journal of the American Society of Nephrology · 344
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Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
2020 · Wouter Bulten, Hans Pinckaers, et al. · arXiv (Cornell University) · 106
Residual cyclegan for robust domain transformation of histopathological tissue slides
2021 · Thomas de Bel, John-Melle Bokhorst, et al. · Medical Image Analysis · 96
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Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer
2020 · Zaneta Swiderska-Chadaj, Thomas de Bel, et al. · Scientific Reports · 70
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Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology
2018 · Thomas de Bel, Meyke Hermsen, et al. · Data Archiving and Networked Services (DANS) · 60
Automatic segmentation of histopathological slides of renal tissue using deep learning
2018 · Thomas de Bel, Meyke Hermsen, et al. · SPIE Medical Imaging: Digital Pathology · 55
Automated prediction of low ferritin concentrations using a machine learning algorithm
2022 · Steef Kurstjens, Thomas de Bel, et al. · Clinical Chemistry and Laboratory Medicine (CCLM) · 36
Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics
2021 · Maschenka CA. Balkenhol, Francesco Ciompi, et al. · The Breast · 35
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Automated Deep Learning-Based Classification of Wilms Tumor Histopathology
2023 · Ananda van der Kamp, Thomas de Bel, et al. · Cancers · 14
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Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning
2022 · Thomas de Bel, Geert Litjens, et al. · npj Breast Cancer · 13
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Renal phospholipidosis and impaired magnesium handling in high‐fat‐diet–fed mice
2019 · Steef Kurstjens, Bart Smeets, et al. · The FASEB Journal · 13
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Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence
2022 · Joshua Ogony, Thomas de Bel, et al. · Breast Cancer Research · 9
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Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection
2018 · T. de Bel, M. Hermsen, et al. · Lecture notes in computer science · 8
Artificial Intelligence in Pediatric Pathology: The Extinction of a Medical Profession or the Key to a Bright Future?
2022 · Ananda van der Kamp, Tomas J. Waterlander, et al. · Pediatric and Developmental Pathology · 7
Serum hormone levels and normal breast histology among premenopausal women
2022 · Mark E. Sherman, Thomas de Bel, et al. · Breast Cancer Research and Treatment · 3
Abstract 3587: High resolution microCT to analyze the 3D morphology of microcalcifications in benign breast disease and breast cancer biopsy tissues
2023 · Sarah E. Schrup, Thomas de Bel, et al. · Cancer Research · 1
Quantitative image analysis reveals the benefits of dapagliflozin on glomerulosclerosis, podocyte effacement and kidney fibrosis in the SDT fatty rat model of diabetic nephropathy
2026 · François Briand, Estelle Grasset, et al. · European Journal of Pharmaceutical Sciences
Wcn25-2239 Quantitative Image Analysis Uncovers the Efficacy of the Selective Endothelin a Receptor Antagonist Atrasentan in a Rat Model of Iga Nephropathy
2025 · Francois Briand, Estelle Grasset, et al. · Kidney International Reports
Quantitative Image Analysis Uncovers the Efficacy of the Selective Endothelin A Receptor Antagonist Atrasentan in a Rat Model of IgA Nephropathy
2024 · Francois Briand, Estelle Grasset, et al. · Journal of the American Society of Nephrology
Quantitative Image Analysis Reveals the Benefits of Dapagliflozin on Glomerulosclerosis, Podocyte Effacement, and Kidney Fibrosis in the Spontaneously Diabetic Torii (SDT) Fatty Rat Model of Diabetic Nephropathy
2024 · Francois Briand, Estelle Grasset, et al. · Journal of the American Society of Nephrology
Reply to: “Addressing Chatbots as Artificial Intelligence Aids in Pediatric Pathology”
2024 · Ananda van der Kamp, Tomas J. Waterlander, et al. · Pediatric and Developmental Pathology
Towards Defining Morphologic Parameters of Normal Parous and Nulliparous Breast Tissues by Artificial Intelligence
2022 · Joshua Ogony, Thomas de Bel, et al. · Research Square
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Abstract P2-11-14: Pathology AI features and immune biomarkers of postpartum involution: Implications for postpartum breast cancer
2022 · Joshua Were Ogony, Thomas De Bel, et al. · Cancer Research
Works count: 30
Citation count: 2,953
H-index: 13
I10-index: 14
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