Rutger H. J. Fick

According to our database, Rutger H. J. Fick authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Rethinking U-net Skip Connections for Biomedical Image Segmentation.

Frauke Wilm, Jonas Ammeling, Mathias Öttl, Rutger H. J. Fick, Marc Aubreville, Katharina Breininger

CoRR, 2024

2023

Interpretable HER2 scoring by evaluating clinical guidelines through a weakly supervised, constrained deep learning approach.

Manh Dan Pham, Guillaume Balezo, Cyprien Tilmant, Stéphanie Petit, Isabelle Salmon, Saïma Ben Hadj, Rutger H. J. Fick

Comput. Medical Imaging Graph., September, 2023

Mitosis domain generalization in histopathology images - The MIDOG challenge.

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, 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

Medical Image Anal., 2023

Enabling Collagen Quantification on HE-Stained Slides through Stain Deconvolution and Restained HE-HES.

Guillaume Balezo, Christof A. Bertram, Cyprien Tilmant, Stéphanie Petit, Saima Ben Hadj, Rutger H. J. Fick

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector.

Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Interpretable HER2 scoring by evaluating clinical Guidelines through a weakly supervised, constrained Deep Learning Approach.

Manh Dan Pham, Cyprien Tilmant, Stéphanie Petit, Isabelle Salmon, Saima Ben Hadj, Rutger H. J. Fick

CoRR, 2022

Mitosis domain generalization in histopathology images - The MIDOG challenge.

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

CoRR, 2022

2021

Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation.

Gauthier Roy, Jules Dedieu, Capucine Bertrand, Alireza Moshayedi, Ali Mammadov, Stéphanie Petit, Saima Ben Hadj, Rutger H. J. Fick

CoRR, 2021

Domain-Specific Cycle-GAN Augmentation Improves Domain Generalizability for Mitosis Detection.

Rutger H. J. Fick, Alireza Moshayedi, Gauthier Roy, Jules Dedieu, Stéphanie Petit, Saima Ben Hadj

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

A Partial Label-Based Machine Learning Approach For Cervical Whole-Slide Image Classification: The Winning TissueNet Solution^*.

Rutger H. J. Fick, Brice Tayart, Capucine Bertrand, Solene Chan-Lang, Tina Rey, Francesco Ciompi, Cyprien Tilmant, Isabelle Farré, Saima Ben Hadj

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021