Maschenka Balkenhol MD, PhD
Maschenka Balkenhol MD, PhD
Pathology Resident & Researcher, Computational Pathology, Radboudumc
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
Implicit causal models for genome-wide association studies
D Tran, DM Blei
arXiv preprint arXiv:1710.10742, 2017
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
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
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
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
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
Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images
Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ...
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
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, 97911E, 2016
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, 151490, 2020
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
arXiv preprint arXiv:2006.12230, 2020
Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists
W Bulten, M Balkenhol, JJA Belinga, A Brilhante, A Çakır, X Farré, ...
arXiv preprint arXiv:2002.04500, 2020
Tissue-based biomarker assessment for predicting prognosis of triple negative breast cancer: the additional value of artificial intelligence
MCA Balkenhol
[Sl: sn], 2020
Deep learning enables fully automated mitotic density assessment in breast cancer histopathology
M Balkenhol, P Bult, D Tellez, W Vreuls, P Clahsen, F Ciompi, ...
VIRCHOWS ARCHIV 475, S58-S59, 2019
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