A generic nuclei detection method for histopathological breast images. - Henning Kost; André Homeyer; Peter Bult; Maschenka C. A. Balkenhol; Jeroen A. W. M. van der Laak; Horst K. Hahn (Digital Pathology, 2016)

Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images. - Babak Ehteshami Bejnordi; Maschenka Balkenhol; Geert Litjens 001; Roland Holland; Peter Bult; Nico Karssemeijer; Jeroen A. W. M. van der Laak (IEEE Trans. Medical Imaging, 2016)

Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images. - Babak Ehteshami Bejnordi; Guido C. A. Zuidhof; Maschenka Balkenhol; Meyke Hermsen; Peter Bult; Bram van Ginneken; Nico Karssemeijer; Geert Litjens 001; Jeroen van der Laak (CoRR, 2017)

H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection. - David Tellez; Maschenka Balkenhol; Nico Karssemeijer; Geert Litjens 001; Jeroen van der Laak; Francesco Ciompi (Digital Pathology, 2018)

Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. - David Tellez; Maschenka Balkenhol; Irene Otte-Höller; Rob van de Loo; Rob Vogels; Peter Bult; Carla Wauters; Willem Vreuls; Suzanne Mol; Nico Karssemeijer; Geert Litjens 001; Jeroen van der Laak; et al. (IEEE Trans. Medical Imaging, 2018)

Learning to detect lymphocytes in immunohistochemistry with deep learning. - Zaneta Swiderska-Chadaj; Hans Pinckaers; Mart van Rijthoven; Maschenka Balkenhol; Margarita Melnikova; Oscar Geessink; Quirine Manson; Mark Sherman 003; António Polónia; Jeremy Parry; Mustapha Abubakar; Geert Litjens 001; et al. (Medical Image Anal., 2019)

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. - Péter Bándi; Oscar Geessink; Quirine Manson; Marcory Van Dijk; Maschenka Balkenhol; Meyke Hermsen; Babak Ehteshami Bejnordi; Byungjae Lee; Kyunghyun Paeng; Aoxiao Zhong; Quanzheng Li; Farhad Ghazvinian Zanjani; et al. (IEEE Trans. Medical Imaging, 2019)

Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists. - Wouter Bulten; Maschenka Balkenhol; Jean-Joël Awoumou Belinga; Américo Brilhante; Asli Çakir; Xavier Farré; Katerina Geronatsiou; Vincent Molinié; Guilherme Pereira; Paromita Roy; Günter Saile; Paulo Salles; et al. (CoRR, 2020)

Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer. - Caner Mercan; Maschenka Balkenhol; Roberto Salgado; Mark Sherman 003; Philippe Vielh; Willem Vreuls; António Polónia; Hugo M. Horlings; Wilko Weichert; Jodi M. Carter; Peter Bult; Matthias Christgen; et al. (CoRR, 2020)

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; Francesco Ciompi (Digital Pathology, 2021)

HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images. - Mart van Rijthoven; Maschenka Balkenhol; Karina Silina; Jeroen van der Laak; Francesco Ciompi (Medical Image Anal., 2021)

Domain adaptation strategies for cancer-independent detection of lymph node metastases. - Péter Bándi; Maschenka Balkenhol; Marcory Van Dijk; Bram van Ginneken; Jeroen van der Laak; Geert Litjens 001 (CoRR, 2022)

Continual learning strategies for cancer-independent detection of lymph node metastases. - Péter Bándi; Maschenka Balkenhol; Marcory Van Dijk; Michel Kok; Bram van Ginneken; Jeroen van der Laak; Geert Litjens 001 (Medical Image Anal., 2023)