Meyke Hermsen

According to our database, Meyke Hermsen authored at least 9 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens

IEEE Trans. Medical Imaging, 2019

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

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

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection.

Thomas de Bel, Meyke Hermsen, Geert Litjens, Jeroen van der Laak

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

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, Jeroen van der Laak

CoRR, 2017

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

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017

2016

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, David J. Hawkes

Proceedings of the Breast Imaging, 2016

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

Proceedings of the Medical Imaging 2015: Digital Pathology, 2015

A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images.

Babak Ehteshami Bejnordi, Geert Litjens, Meyke Hermsen, Nico Karssemeijer, Jeroen A. W. M. van der Laak

Proceedings of the Medical Imaging 2015: Digital Pathology, 2015