Maschenka C A Balkenhol

6PUBLICATIONS
20CO-AUTHORS
Predictive and prognostic markersTumour immunologySemi- and unsupervised learningFormal methods for softwareCancer diagnosis
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Publications (6)

|Jul 09, 2022
Evaluation Criteria for Chromosome Instability Detection by FISH to Predict Malignant Progression in Premalignant Glottic Laryngeal Lesions.

Verona E Bergshoeff, Maschenka C A Balkenhol, Annick Haesevoets

|Jul 04, 2021
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.

Mieke R Van Bockstal, Aline François, Serdar Altinay

|Aug 08, 2020
Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists.

Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga

|Dec 25, 2019
Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks.

Péter Bándi, Maschenka Balkenhol, Bram van Ginneken

|Jun 22, 2019
Deep learning assisted mitotic counting for breast cancer.

Maschenka C A Balkenhol, David Tellez, Willem Vreuls

|Apr 17, 2019
Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer.

Maschenka C A Balkenhol, Peter Bult, David Tellez

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Frequent Collaborators

3 joint publications

Jeroen van der Laak

1 joint publications

Péter Bándi

1 joint publications

Wouter Bulten

1 joint publications

Geert Litjens