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Thomas de Bel

Showing results (11-20 of 15) with videos related to

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Journal of the American Society of Nephrology : JASN|September 7, 2019
Deep Learning-Based Histopathologic Assessment of Kidney TissueMeyke Hermsen, Thomas de Bel, Marjolijn den Boer, et al.
NPJ Breast Cancer|January 20, 2022
Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learningThomas de Bel, Geert Litjens, Joshua Ogony, et al.
Breast Cancer Research and Treatment|May 3, 2022
Serum hormone levels and normal breast histology among premenopausal womenMark E Sherman, Thomas de Bel, Michael G Heckman, et al.
Breast Cancer Research : BCR|July 12, 2022
Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligenceJoshua Ogony, Thomas de Bel, Derek C Radisky, et al.
Medical Image Analysis|July 22, 2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challengeArnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, et al.
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Showing results (11-20 of 15) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 15 results.
Journal of the American Society of Nephrology : JASN|September 7, 2019
Deep Learning-Based Histopathologic Assessment of Kidney TissueMeyke Hermsen, Thomas de Bel, Marjolijn den Boer, et al.
NPJ Breast Cancer|January 20, 2022
Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learningThomas de Bel, Geert Litjens, Joshua Ogony, et al.
Breast Cancer Research and Treatment|May 3, 2022
Serum hormone levels and normal breast histology among premenopausal womenMark E Sherman, Thomas de Bel, Michael G Heckman, et al.
Breast Cancer Research : BCR|July 12, 2022
Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligenceJoshua Ogony, Thomas de Bel, Derek C Radisky, et al.
Medical Image Analysis|July 22, 2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challengeArnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, et al.
Pageof 2