A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images. - Babak Ehteshami Bejnordi; Geert Litjens 001; Meyke Hermsen; Nico Karssemeijer; Jeroen A. W. M. van der Laak (Digital Pathology, 2015)

Minimum slice spacing required to reconstruct 3D shape for serial sections of breast tissue for comparison with medical imaging. - Sara Reis; Björn Eiben; Thomy Mertzanidou; John H. Hipwell; Meyke Hermsen; Jeroen van der Laak; Sarah E. Pinder; Peter Bult; David J. Hawkes (Digital Pathology, 2015)

Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology. - Thomy Mertzanidou; John H. Hipwell; Sara Reis; Babak Ehteshami Bejnordi; Meyke Hermsen; Mehmet Dalmis; Suzan Vreemann; Bram Platel; Jeroen van der Laak; Nico Karssemeijer; Ritse Mann; Peter Bult; et al. (Digital Mammography / IWDM, 2016)

Detection of glomeruli in renal pathology by mutual comparison of multiple staining modalities. - Maja Temerinac-Ott; Germain Forestier; Jessica Schmitz; Meyke Hermsen; J. H. Braseni; Friedrich Feuerhake; Cédric Wemmert (ISPA, 2017)

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)

Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection. - Thomas de Bel; Meyke Hermsen; Geert Litjens 001; Jeroen van der Laak (COMPAY/OMIA@MICCAI, 2018)

Automatic segmentation of histopathological slides of renal tissue using deep learning. - Thomas de Bel; Meyke Hermsen; Bart Smeets; Luuk Hilbrands; Jeroen van der Laak; Geert Litjens 001 (Digital Pathology, 2018)

Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology. - Thomas de Bel; Meyke Hermsen; Jesper Kers; Jeroen van der Laak; Geert Litjens 001 (MIDL, 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)

Deep learning-based histopathologic segmentation of peritubular capillaries in kidney transplant biopsies. - Dominique van Midden; Linda Studer; Meyke Hermsen; Eric J. Steenbergen; Jesper Kers; Nicolas Kozakowski; Zeljko Kikic; Luuk Hilbrands; Jeroen A. W. M. van der Laak (Comput. Biol. Medicine, 2025)