Maschenka Balkenhol MD, PhD
Maschenka Balkenhol MD, PhD
Pathology Resident & Researcher, Computational Pathology, Radboudumc
Verified email at - Homepage
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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
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
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
Whole-slide mitosis detection in H&E breast histology using PHH3 as a reference to train distilled stain-invariant convolutional networks
D Tellez, M Balkenhol, I Otte-Höller, R van de Loo, R Vogels, P Bult, ...
IEEE transactions on medical imaging 37 (9), 2126-2136, 2018
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
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
Learning to detect lymphocytes in immunohistochemistry with deep learning
Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ...
Medical image analysis 58, 101547, 2019
Deep learning assisted mitotic counting for breast cancer
MCA Balkenhol, D Tellez, W Vreuls, PC Clahsen, H Pinckaers, F Ciompi, ...
Laboratory investigation 99 (11), 1596-1606, 2019
Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
W Bulten, M Balkenhol, JJA Belinga, A Brilhante, A Çakır, L Egevad, ...
Modern Pathology 34 (3), 660-671, 2021
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images
M Van Rijthoven, M Balkenhol, K Siliņa, J Van Der Laak, F Ciompi
Medical Image Analysis 68, 101890, 2021
H and E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection
D Tellez, M Balkenhol, N Karssemeijer, G Litjens, J van der Laak, ...
Medical Imaging 2018: Digital Pathology 10581, 105810Z, 2018
Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
P Bándi, M Balkenhol, B van Ginneken, J van der Laak, G Litjens
PeerJ 7, e8242, 2019
Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer
MCA Balkenhol, P Bult, D Tellez, W Vreuls, PC Clahsen, F Ciompi, ...
Cellular Oncology 42 (4), 555-569, 2019
Histological subtypes in triple negative breast cancer are associated with specific information on survival
MCA Balkenhol, W Vreuls, CAP Wauters, SJJ Mol, JAWM van der Laak, ...
Annals of Diagnostic Pathology 46, 151490, 2020
Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images
Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ...
Sonographic phenotypes of molecular subtypes of invasive ductal cancer in automated 3-D breast ultrasound
JCM van Zelst, M Balkenhol, T Tan, M Rutten, M Imhof-Tas, P Bult, ...
Ultrasound in Medicine & Biology 43 (9), 1820-1828, 2017
Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics
MCA Balkenhol, F Ciompi, Ż Świderska-Chadaj, R van de Loo, M Intezar, ...
The Breast 56, 78-87, 2021
A generic nuclei detection method for histopathological breast images
H Kost, A Homeyer, P Bult, MCA Balkenhol, JAWM van der Laak, ...
Medical Imaging 2016: Digital Pathology 9791, 354-360, 2016
From point annotations to epithelial cell detection in breast cancer histopathology using RetinaNet
C Mercan, M Balkenhol, J van der Laak, F Ciompi
International Conference on Medical Imaging with Deep Learning--Extended …, 2019
Interobserver variability in the assessment of stromal tumor-infiltrating lymphocytes (sTILs) in triple-negative invasive breast carcinoma influences the association with …
MR Van Bockstal, A François, S Altinay, L Arnould, M Balkenhol, ...
Modern Pathology 34 (12), 2130-2140, 2021
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