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ORCIDRutger H. J. Fick
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Journal Articles
- 2023
[j2]Manh Dan Pham, Guillaume Balezo, Cyprien Tilmant
, Stéphanie Petit, Isabelle Salmon, Saïma Ben Hadj, Rutger H. J. Fick:
Interpretable HER2 scoring by evaluating clinical guidelines through a weakly supervised, constrained deep learning approach. Comput. Medical Imaging Graph. 108: 102261 (2023)- [j1]Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Adam Shephard, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Ramona Erber, Andrea Klang, Karoline Lipnik, Pompei Bolfa, Michael J. Dark, Gabriel Wasinger, Mitko Veta, Katharina Breininger:
Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 84: 102699 (2023)
Conference and Workshop Papers
- 2023
- [c4]Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram:
Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector. Bildverarbeitung für die Medizin 2023: 189-195 - [c3]Guillaume Balezo, Christof A. Bertram, Cyprien Tilmant, Stéphanie Petit, Saima Ben Hadj, Rutger H. J. Fick:
Enabling Collagen Quantification on HE-Stained Slides through Stain Deconvolution and Restained HE-HES. ISBI 2023: 1-5 - 2021
- [c2]Rutger H. J. Fick, Brice Tayart, Capucine Bertrand, Solene Chan-Lang, Tina Rey, Francesco Ciompi, Cyprien Tilmant, Isabelle Farré, Saima Ben Hadj:
A Partial Label-Based Machine Learning Approach For Cervical Whole-Slide Image Classification: The Winning TissueNet Solution*. EMBC 2021: 2127-2131 - [c1]Rutger H. J. Fick, Alireza Moshayedi, Gauthier Roy, Jules Dedieu, Stéphanie Petit, Saima Ben Hadj:
Domain-Specific Cycle-GAN Augmentation Improves Domain Generalizability for Mitosis Detection. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 40-47
Informal and Other Publications
- 2024
- [i6]Frauke Wilm, Jonas Ammeling, Mathias Öttl, Rutger H. J. Fick, Marc Aubreville, Katharina Breininger:
Rethinking U-net Skip Connections for Biomedical Image Segmentation. CoRR abs/2402.08276 (2024) - 2022
- [i5]Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger:
Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR abs/2204.03742 (2022) - [i4]Manh Dan Pham, Cyprien Tilmant, Stéphanie Petit, Isabelle Salmon, Saima Ben Hadj, Rutger H. J. Fick:
Interpretable HER2 scoring by evaluating clinical Guidelines through a weakly supervised, constrained Deep Learning Approach. CoRR abs/2211.09559 (2022) - [i3]Guillaume Balezo, Christof A. Bertram, Cyprien Tilmant, Stéphanie Petit, Saima Ben Hadj, Rutger H. J. Fick:
Enabling Collagen Quantification on HE-stained Slides Through Stain Deconvolution and Restained HE-HES. CoRR abs/2211.09566 (2022) - [i2]Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram:
Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector. CoRR abs/2212.05900 (2022) - 2021
- [i1]Gauthier Roy, Jules Dedieu, Capucine Bertrand, Alireza Moshayedi, Ali Mammadov, Stéphanie Petit, Saima Ben Hadj, Rutger H. J. Fick:
Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation. CoRR abs/2109.01878 (2021)
Coauthor Index
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