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Author Details
Full Name
Maschenka Balkenhol
Affiliation
Radboud University Medical Center
ORCID
Career Start Year
2016
Papers
19
H Index
12
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36724605
Continual learning strategies for cancer-independent detection of lymph node metastases.
Med Image Anal
2023
37957667
PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning.
Breast Cancer Res
2023
36347887
Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer.
NPJ Breast Cancer
2022
35805032
Evaluation Criteria for Chromosome Instability Detection by FISH to Predict Malignant Progression in Premalignant Glottic Laryngeal Lesions.
Cancers (Basel)
2022
33260110
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images.
Med Image Anal
2021
33640523
Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics.
Breast
2021
34218258
Interobserver variability in the assessment of stromal tumor-infiltrating lymphocytes (sTILs) in triple-negative invasive breast carcinoma influences the association with pathological complete response: the IVITA study.
Mod Pathol
2021
32179443
Histological subtypes in triple negative breast cancer are associated with specific information on survival.
Ann Diagn Pathol
2020
30716025
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge.
IEEE Trans Med Imaging
2019
31871843
Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks.
PeerJ
2019
31222166
Deep learning assisted mitotic counting for breast cancer.
Lab Invest
2019
31476576
Learning to detect lymphocytes in immunohistochemistry with deep learning.
Med Image Anal
2019
30989469
Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer.
Cell Oncol (Dordr)
2019
29860392
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset.
Gigascience
2018
29994086
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks.
IEEE Trans Med Imaging
2018
28576620
Sonographic Phenotypes of Molecular Subtypes of Invasive Ductal Cancer in Automated 3-D Breast Ultrasound.
Ultrasound Med Biol
2017
29234806
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.
JAMA
2017
29285517
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.
J Med Imaging (Bellingham)
2017
27076354
Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images.
IEEE Trans Med Imaging
2016
1 - 19 of 19
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