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ORCIDViktor H. Koelzer
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2020 – today
- 2024
[j6]Jiqing Wu
, Viktor H. Koelzer:
SST-editing: in silico spatial transcriptomic editing at single-cell resolution. Bioinform. 40(3) (2024)- [j5]Jiqing Wu, Viktor H. Koelzer:
GILEA: In silico phenome profiling and editing using GAN Inversion. Comput. Biol. Medicine 179: 108825 (2024) - [j4]Stefan Glüge, Stefan Balabanov, Viktor H. Koelzer, Thomas Ott:
Evaluation of deep learning training strategies for the classification of bone marrow cell images. Comput. Methods Programs Biomed. 243: 107924 (2024) - [j3]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:
Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. Medical Image Anal. 94: 103155 (2024) - [c8]Ruby Wood, Enric Domingo, Viktor Hendrik Koelzer, Timothy S. Maughan, Jens Rittscher:
Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images. CVPR Workshops 2024: 5122-5131 - 2023
- [j2]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:
Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 84: 102699 (2023) - [c7]Lydia Anette Schoenpflug, Viktor Hendrik Koelzer:
SoftCTM: Cell Detection by Soft Instance Segmentation and Consideration of Cell-Tissue Interaction. GRAIL/OCELOT@MICCAI 2023: 109-122 - [c6]Maxime W. Lafarge, Viktor Hendrik Koelzer:
Detecting Cells in Histopathology Images with a ResNet Ensemble Model. GRAIL/OCELOT@MICCAI 2023: 123-129 - [c5]Ruby Wood, Enric Domingo, Korsuk Sirinukunwattana, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher:
Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies. MICCAI (5) 2023: 758-767 - [i9]Maxime W. Lafarge, Viktor H. Koelzer:
Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset. CoRR abs/2301.01079 (2023) - [i8]Lydia A. Schoenpflug, Maxime W. Lafarge, Anja L. Frei, Viktor H. Koelzer:
Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides. CoRR abs/2304.03101 (2023) - [i7]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:
CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models. CoRR abs/2307.08673 (2023) - [i6]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:
Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR abs/2309.15589 (2023) - [i5]Lydia A. Schoenpflug, Viktor H. Koelzer:
SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interaction. CoRR abs/2312.12151 (2023) - 2022
- [j1]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:
Automated causal inference in application to randomized controlled clinical trials. Nat. Mach. Intell. 4(5): 436-444 (2022) - [c4]Ruby Wood, Korsuk Sirinukunwattana, Enric Domingo, Alexander Sauer, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher:
Enhancing Local Context of Histology Features in Vision Transformers. AIIIMA/MIABID@MICCAI 2022: 154-163 - [c3]Maxime W. Lafarge, Viktor H. Koelzer:
Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset. MIDOG/DRAC@MICCAI 2022: 226-233 - [c2]Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer:
Towards IID representation learning and its application on biomedical data. MIDL 2022: 1375-1402 - [i4]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:
Automated causal inference in application to randomized controlled clinical trials. CoRR abs/2201.05773 (2022) - [i3]Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer:
Towards IID representation learning and its application on biomedical data. CoRR abs/2203.00332 (2022) - [i2]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) - 2021
- [c1]Maxime W. Lafarge, Viktor H. Koelzer:
Rotation Invariance and Extensive Data Augmentation: A Strategy for the MItosis DOmain Generalization (MIDOG) Challenge. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 62-67 - [i1]Maxime W. Lafarge, Viktor H. Koelzer:
Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge. CoRR abs/2109.00823 (2021)
Coauthor Index
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