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Author Details

Maschenka Balkenhol
Radboud University Medical Center
2016
19
12
PMIDPaper TitleJournal TitlePublished Year
36724605Continual learning strategies for cancer-independent detection of lymph node metastases.Med Image Anal2023
37957667PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning.Breast Cancer Res2023
36347887Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer.NPJ Breast Cancer2022
35805032Evaluation Criteria for Chromosome Instability Detection by FISH to Predict Malignant Progression in Premalignant Glottic Laryngeal Lesions.Cancers (Basel)2022
33260110HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images.Med Image Anal2021
33640523Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics.Breast2021
34218258Interobserver 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 Pathol2021
32179443Histological subtypes in triple negative breast cancer are associated with specific information on survival.Ann Diagn Pathol2020
30716025From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge.IEEE Trans Med Imaging2019
31871843Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks.PeerJ2019
31222166Deep learning assisted mitotic counting for breast cancer.Lab Invest2019
31476576Learning to detect lymphocytes in immunohistochemistry with deep learning.Med Image Anal2019
30989469Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer.Cell Oncol (Dordr)2019
298603921399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset.Gigascience2018
29994086Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks.IEEE Trans Med Imaging2018
28576620Sonographic Phenotypes of Molecular Subtypes of Invasive Ductal Cancer in Automated 3-D Breast Ultrasound.Ultrasound Med Biol2017
29234806Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.JAMA2017
29285517Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.J Med Imaging (Bellingham)2017
27076354Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images.IEEE Trans Med Imaging2016
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Collaborators

Radboud University Medical Center
Co-authored papers 16
Radboud University Medical Center
Co-authored papers 12
Radboud Institute for Health Sciences, Radboud University Medical Center
Co-authored papers 10
Canisius Wilhelmina Hospital
Co-authored papers 6
Radboud University Medical Center
Co-authored papers 5
Radboud University Medical Center
Co-authored papers 5
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Co-authored papers 5
Radboud Institute for Molecular Life Sciences, Radboud University Medical Center
Co-authored papers 4
Radboud University Medical Center
Co-authored papers 4
Radboud University Medical Center
Co-authored papers 4
1Rijnstate Hospital
Co-authored papers 4
Alrijne Hospital Leiderdorp
Co-authored papers 4
Phoenix Children's Hospital
Co-authored papers 4
Massachusetts General Hospital
Co-authored papers 2
The Hong Kong University of Science and Technology
Co-authored papers 2
The Chinese University of Hong Kong
Co-authored papers 2
University Medical Center Utrecht
Co-authored papers 2
Mayo Clinic
Co-authored papers 2
University Medical Center Utrecht
Co-authored papers 2
Massachusetts General Hospital, Harvard University
Co-authored papers 2
Karolinska Institutet
Co-authored papers 1
University of Castilla-La Mancha
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Memorial Sloan Kettering Cancer Center
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NLP Logix LLC
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Huazhong Agricultural University
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Sorbonne University, Pierre and Marie Curie University
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California State University
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Eindhoven University of Technology
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Technical University of Munich
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Western Sydney University
Co-authored papers 1