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Babak Ehteshami Bejnordi
Babak Ehteshami Bejnordi
Sr. Staff Research Scientist, Qualcomm AI Research
Bestätigte E-Mail-Adresse bei qti.qualcomm.com - Startseite
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Zitiert von
Zitiert von
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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
114812017
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
27732017
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
4792018
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
3372018
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
2972015
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
2732019
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
2142017
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), 044504-044504, 2017
1972017
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
B Ehteshami Bejnordi, M Mullooly, RM Pfeiffer, S Fan, PM Vacek, ...
Modern Pathology 31 (10), 1502-1512, 2018
1912018
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
1842020
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
1312018
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
1062016
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
OGF Geessink, A Baidoshvili, JM Klaase, B Ehteshami Bejnordi, ...
Cellular oncology 42, 331-341, 2019
942019
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
892017
Batch-Shaping for Learning Conditional Channel Gated Networks
B Ehteshami Bejnordi, T Blankevoort, M Welling
Proceedings of the eights International Conference on Learning …, 2020
74*2020
Frameexit: Conditional early exiting for efficient video recognition
A Ghodrati, BE Bejnordi, A Habibian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
672021
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, 99-104, 2015
582015
Histopathology stain-color normalization using deep generative models
FG Zanjani, S Zinger, BE Bejnordi, JAWM van der Laak
Medical Imaging with Deep Learning, 2022
522022
Skip-convolutions for efficient video processing
A Habibian, D Abati, TS Cohen, BE Bejnordi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
512021
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, 45-51, 2014
502014
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