Viktor H. Koelzer

27 papers Journal 19Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A protocol for evaluating robustness to H&E staining variation in computational pathology models. CoRR Lydia A. Schoenpflug, Nikki van den Berg, Sonali Andani, Nanda Horeweg, Jurriaan Barkey Wolf, Tjalling Bosse, Viktor H. Koelzer, Maxime W. Lafarge
2025	—	`conf`	Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology. MICCAI (6) Boqi Chen, Cédric Vincent-Cuaz, Lydia A. Schoenpflug, Manuel Madeira, Lisa Fournier, Vaishnavi Subramanian, Sonali Andani, Samuel Ruipérez-Campillo, Julia E. Vogt, Raphaëlle Luisier, Dorina Thanou, Viktor H. Koelzer, Pascal Frossard, Gabriele Campanella, Gunnar Rätsch
2025	J	`jnl`	Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology. CoRR Boqi Chen, Cédric Vincent-Cuaz, Lydia A. Schoenpflug, Manuel Madeira, Lisa Fournier, Vaishnavi Subramanian, Sonali Andani, Samuel Ruipérez-Campillo, Julia E. Vogt, Raphaëlle Luisier, Dorina Thanou, Viktor H. Koelzer, Pascal Frossard, Gabriele Campanella, Gunnar Rätsch
2025	—	`conf`	Scheduled Cross-Domain Multi-center DINO for Robust High-Content Screening Representation Learning. MLMI@MICCAI Sergei Pnev, Julia Wolleb, Jonathan C. Fuller, Patrick Rammelt, Viktor H. Koelzer, Philippe C. Cattin
2025	J	`jnl`	Sequential Hard Mining: a data-centric approach for Mitosis Detection. CoRR Maxime W. Lafarge, Viktor H. Koelzer
2025	J	`jnl`	Tera-MIND: Tera-scale mouse brain simulation via spatial mRNA-guided diffusion. CoRR Jiqing Wu, Ingrid Berg, Yawei Li, Ender Konukoglu, Viktor H. Koelzer
2024	J	`jnl`	Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. Medical Image Anal. Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Çayir, Hongyan Gu, Xiang Anthony Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram
2024	J	`jnl`	Evaluation of deep learning training strategies for the classification of bone marrow cell images. Comput. Methods Programs Biomed. Stefan Glüge, Stefan Balabanov, Viktor H. Koelzer, Thomas Ott
2024	J	`jnl`	GILEA: In silico phenome profiling and editing using GAN Inversion. Comput. Biol. Medicine Jiqing Wu, Viktor H. Koelzer
2024	—	`conf`	IST-editing: Infinite spatial transcriptomic editing in a generated gigapixel mouse pup. MIDL Jiqing Wu, Ingrid Berg, Viktor H. Koelzer
2024	J	`jnl`	SST-editing: Bioinform. Jiqing Wu, Viktor H. Koelzer
2023	J	`jnl`	CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models. CoRR Fan Fan, Georgia Martinez, Thomas DeSilvio, John Shin, Yijiang Chen, Bangchen Wang, Takaya Ozeki, Maxime W. Lafarge, Viktor H. Koelzer, Laura Barisoni, Anant Madabhushi, Satish E. Viswanath, Andrew Janowczyk
2023	J	`jnl`	Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonathan Ganz, Jonas Ammeling, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Cayir, Hongyan Gu, Xiang 'Anthony' Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram
2023	J	`jnl`	Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset. CoRR Maxime W. Lafarge, Viktor H. Koelzer
2023	—	`conf`	Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies. MICCAI (5) Ruby Wood, Enric Domingo, Korsuk Sirinukunwattana, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher
2023	J	`jnl`	Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 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
2023	J	`jnl`	Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides. CoRR Lydia A. Schoenpflug, Maxime W. Lafarge, Anja L. Frei, Viktor H. Koelzer
2023	J	`jnl`	SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interaction. CoRR Lydia A. Schoenpflug, Viktor H. Koelzer
2022	J	`jnl`	Automated causal inference in application to randomized controlled clinical trials. CoRR Jiqing Wu, Nanda Horeweg, Marco de Bruyn, Remi A. Nout, Ina M. Jürgenliemk-Schulz, Ludy C. H. W. Lutgens, Jan J. Jobsen, Elzbieta M. van der Steen-Banasik, Hans W. Nijman, Vincent T. H. B. M. Smit, Tjalling Bosse, Carien L. Creutzberg, Viktor H. Koelzer
2022	J	`jnl`	Automated causal inference in application to randomized controlled clinical trials. Nat. Mach. Intell. Jiqing Wu, Nanda Horeweg, Marco de Bruyn, Remi A. Nout, Ina M. Jürgenliemk-Schulz, Ludy C. H. W. Lutgens, Jan J. Jobsen, Elzbieta M. van der Steen-Banasik, Hans W. Nijman, Vincent T. H. B. M. Smit, Tjalling Bosse, Carien L. Creutzberg, Viktor H. Koelzer
2022	—	`conf`	Enhancing Local Context of Histology Features in Vision Transformers. AIIIMA/MIABID@MICCAI Ruby Wood, Korsuk Sirinukunwattana, Enric Domingo, Alexander Sauer, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher
2022	—	`conf`	Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset. MIDOG/DRAC@MICCAI Maxime W. Lafarge, Viktor H. Koelzer
2022	J	`jnl`	Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR 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
2022	—	`conf`	Towards IID representation learning and its application on biomedical data. MIDL Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer
2022	J	`jnl`	Towards IID representation learning and its application on biomedical data. CoRR Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer
2021	—	`conf`	Rotation Invariance and Extensive Data Augmentation: A Strategy for the MItosis DOmain Generalization (MIDOG) Challenge. MIDOG/MOOD/Learn2Reg@MICCAI Maxime W. Lafarge, Viktor H. Koelzer
2021	J	`jnl`	Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge. CoRR Maxime W. Lafarge, Viktor H. Koelzer