Babak Ehteshami Bejnordi
Babak Ehteshami Bejnordi
Research Scientist, Qualcomm AI Research, Qualcomm Technologies, Inc., Netherlands
Verified email at qti.qualcomm.com - Homepage
Title
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Year
A survey on deep learning in medical image analysis
G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi, M Ghafoorian, ...
Medical image analysis 42, 60-88, 2017
63372017
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
13662017
Stain specific standardization of whole-slide histopathological images
BE Bejnordi, G Litjens, N Timofeeva, I Otte-Höller, A Homeyer, ...
IEEE transactions on medical imaging 35 (2), 404-415, 2015
1792015
From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge
P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ...
IEEE transactions on medical imaging 38 (2), 550-560, 2018
1332018
The importance of stain normalization in colorectal tissue classification with convolutional networks
F Ciompi, O Geessink, BE Bejnordi, GS De Souza, A Baidoshvili, G Litjens, ...
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
1212017
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ...
Medical image analysis 54, 111-121, 2019
1192019
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
G Litjens, P Bandi, B Ehteshami Bejnordi, O Geessink, M Balkenhol, ...
GigaScience 7 (6), giy065, 2018
1162018
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
BE Bejnordi, G Zuidhof, M Balkenhol, M Hermsen, P Bult, B van Ginneken, ...
Journal of Medical Imaging 4 (4), 044504, 2017
1022017
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
BE Bejnordi, M Mullooly, RM Pfeiffer, S Fan, PM Vacek, DL Weaver, ...
Modern Pathology 31 (10), 1502-1512, 2018
942018
Automated detection of DCIS in whole-slide H&E stained breast histopathology images
BE Bejnordi, M Balkenhol, G Litjens, R Holland, P Bult, N Karssemeijer, ...
IEEE transactions on medical imaging 35 (9), 2141-2150, 2016
722016
Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images
BE Bejnordi, J Lin, B Glass, M Mullooly, GL Gierach, ME Sherman, ...
2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017
542017
Stain normalization of histopathology images using generative adversarial networks
FG Zanjani, S Zinger, BE Bejnordi, JAWM van der Laak, PHN de With
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
532018
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
OGF Geessink, A Baidoshvili, JM Klaase, BE Bejnordi, GJS Litjens, ...
Cellular Oncology 42 (3), 331-341, 2019
352019
A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images
BE Bejnordi, G Litjens, M Hermsen, N Karssemeijer, JAWM van der Laak
Medical Imaging 2015: Digital Pathology 9420, 94200H, 2015
352015
Conditional channel gated networks for task-aware continual learning
D Abati, J Tomczak, T Blankevoort, S Calderara, R Cucchiara, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
332020
Automated segmentation of free-lying cell nuclei in pap smears for malignancy-associated change analysis
R Moshavegh, BE Bejnordi, A Mehnert, K Sujathan, P Malm, E Bengtsson
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
302012
Quantitative analysis of stain variability in histology slides and an algorithm for standardization
BE Bejnordi, N Timofeeva, I Otte-Höller, N Karssemeijer, ...
Medical Imaging 2014: Digital Pathology 9041, 904108, 2014
272014
Batch-Shaping for Learning Conditional Channel Gated Networks
B Ehteshami Bejnordi, T Blankevoort, M Welling
arXiv e-prints, arXiv: 1907.06627, 2019
24*2019
Histopathology stain-color normalization using deep generative models
FG Zanjani, S Zinger, BE Bejnordi, JAWM van der Laak
192018
Novel chromatin texture features for the classification of pap smears
BE Bejnordi, R Moshavegh, K Sujathan, P Malm, E Bengtsson, A Mehnert
Medical Imaging 2013: Digital Pathology 8676, 867608, 2013
162013
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