Babak Ehteshami Bejnordi
Babak Ehteshami Bejnordi
Research Scientist, Qualcomm AI Research, Qualcomm Technologies, Inc., Netherlands
Verified email at qti.qualcomm.com - Homepage
Title
Cited by
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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
34842017
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
7372017
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
1262015
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
722017
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
702017
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
532019
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
532016
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
482018
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
472018
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
462018
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
372017
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
272012
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
242018
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
222015
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
192014
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
122013
Histopathology stain-color normalization using deep generative models
FG Zanjani, S Zinger, BE Bejnordi, JAWM van der Laak
112018
3D volume reconstruction from serial breast specimen radiographs for mapping between histology and 3D whole specimen imaging
T Mertzanidou, JH Hipwell, S Reis, DJ Hawkes, B Ehteshami Bejnordi, ...
Medical physics 44 (3), 935-948, 2017
112017
Batch-Shaping for Learning Conditional Channel Gated Networks
B Ehteshami Bejnordi, T Blankevoort, M Welling
arXiv, arXiv: 1907.06627, 2019
8*2019
Automated detection of prostate cancer in digitized whole-slide images of H and E-stained biopsy specimens
G Litjens, BE Bejnordi, N Timofeeva, G Swadi, I Kovacs, ...
Medical Imaging 2015: Digital Pathology 9420, 94200B, 2015
82015
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