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Daan Geijs
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2020 – today
- 2024
- [j1]Daan J. Geijs
, Stephan Dooper
Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning. Medical Image Anal. 93: 103063 (2024) - [c5]Carlijn M. Lems, Daan J. Geijs, John-Melle Bokhorst, Maxime Sülter, Leander van Eekelen, Francesco Ciompi:
Color Deconvolution for Color-Agnostic and Cross-Modality Analysis of Immunohistochemistry Whole-Slide Images with Deep Learning. ISBI 2024: 1-4 - 2021
- [c4]Daan J. Geijs, Hans Pinckaers, Avital L. Amir, Geert J. S. Litjens
End-to-end classification on basal-cell carcinoma histopathology whole-slides images. Medical Imaging: Digital Pathology 2021 - 2020
- [c3]Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune
Low Dimensional State Representation Learning with Reward-shaped Priors. ICPR 2020: 3736-3743 - [i2]Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune
Low Dimensional State Representation Learning with Reward-shaped Priors. CoRR abs/2007.16044 (2020)
2010 – 2019
- 2018
- [c2]Daan J. Geijs, Milad Intezar, Jeroen A. W. M. van der Laak
Automatic color unmixing of IHC stained whole slide images. Medical Imaging: Digital Pathology 2018: 105810L - 2017
- [c1]Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi
Comparison of different methods for tissue segmentation in histopathological whole-slide images. ISBI 2017: 591-595 - [i1]Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images. CoRR abs/1703.05990 (2017)
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