Maschenka Balkenhol MD, PhD
Radboud Universiteit
H-index: 16
Europe-Netherlands
Top articles of Maschenka Balkenhol MD, PhD
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Automated mitotic spindle hotspot counts are highly associated with clinical outcomes in systemically untreated early-stage triple-negative breast cancer | npj Breast Cancer | Roberto A Leon-Ferre Jodi M Carter David Zahrieh Jason P Sinnwell Roberto Salgado | 2024/3/29 |
Continual learning strategies for cancer-independent detection of lymph node metastases | Medical Image Analysis | Péter Bándi Maschenka Balkenhol Marcory van Dijk Michel Kok Bram van Ginneken | 2023/4/1 |
Prognostic value of deep learning based mitotic count in hormonal receptor-and HER2-positive breast cancer | Maschenka Balkenhol Caner Mercan Leslie Tessier David Tellez Roberto Salgado | 2023/2/3 | |
PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning | Breast Cancer Research | Witali Aswolinskiy Enrico Munari Hugo M Horlings Lennart Mulder Giuseppe Bogina | 2023/11/13 |
On the robustness of regressing tumor percentage as an explainable detector in histopathology whole-slide images | Marina D'Amato Maschenka Balkenhol Mart van Rijthoven Jeroen van der Laak Francesco Ciompi | 2023/4/28 | |
Evaluation Criteria for Chromosome Instability Detection by FISH to Predict Malignant Progression in Premalignant Glottic Laryngeal Lesions | Cancers | Verona E Bergshoeff Maschenka CA Balkenhol Annick Haesevoets Andrea Ruland Michelene N Chenault | 2022/7/3 |
Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies | 2021/1/26 | ||
Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer | NPJ breast cancer | Caner Mercan Maschenka Balkenhol Roberto Salgado Mark Sherman Philippe Vielh | 2022/11/8 |
Domain adaptation strategies for cancer-independent detection of lymph node metastases | arXiv preprint arXiv:2207.06193 | Péter Bándi Maschenka Balkenhol Marcory Van Dijk Bram van Ginneken Jeroen van der Laak | 2022/7/13 |
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images | Medical image analysis | Mart Van Rijthoven Maschenka Balkenhol Karina Siliņa Jeroen Van Der Laak Francesco Ciompi | 2021/2/1 |
Interobserver variability in the assessment of stromal tumor-infiltrating lymphocytes (sTILs) in triple-negative invasive breast carcinoma influences the association with … | Modern Pathology | Mieke R Van Bockstal Aline François Serdar Altinay Laurent Arnould Maschenka Balkenhol | 2021/12 |
Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics | The Breast | Maschenka CA Balkenhol Francesco Ciompi Żaneta Świderska-Chadaj Rob van de Loo Milad Intezar | 2021/4/1 |
Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists | Modern Pathology | Wouter Bulten Maschenka Balkenhol Jean-Joël Awoumou Belinga Américo Brilhante Aslı Çakır | 2021/3 |
Few-shot weakly supervised detection and retrieval in histopathology whole-slide images | Mart van Rijthoven Maschenka Balkenhol Manfredo Atzori Peter Bult Jeroen van der Laak | 2021/2/15 | |
Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer | arXiv preprint arXiv:2012.04974 | Caner Mercan Maschenka Balkenhol Roberto Salgado Mark Sherman Philippe Vielh | 2020/12/9 |
Deep learning enables fully automated mitotic density assessment in breast cancer histopathology | European Journal of Cancer | M Balkenhol P Bult D Tellez W Vreuls P Clahsen | 2020/10/1 |
Histological subtypes in triple negative breast cancer are associated with specific information on survival | Annals of Diagnostic Pathology | Maschenka CA Balkenhol Willem Vreuls Carla AP Wauters Suzanne JJ Mol Jeroen AWM van der Laak | 2020/6/1 |
Tissue-based biomarker assessment for predicting prognosis of triple negative breast cancer: the additional value of artificial intelligence | MCA Balkenhol | 2020 |
Co-Authors
