Viktor H. Koelzer

According to our database, Viktor H. Koelzer authored at least 17 papers between 2021 and 2024.

Collaborative distances:

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

2024

SST-editing: <i>in silico</i> spatial transcriptomic editing at single-cell resolution.

Jiqing Wu, Viktor H. Koelzer

Bioinform., March, 2024

Evaluation of deep learning training strategies for the classification of bone marrow cell images.

Stefan Glüge, Stefan Balabanov, Viktor H. Koelzer, Thomas Ott

Comput. Methods Programs Biomed., January, 2024

Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge.

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

Medical Image Anal., 2024

GILEA: In silico phenome profiling and editing using GAN Inversion.

Jiqing Wu, Viktor H. Koelzer

Comput. Biol. Medicine, 2024

Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images.

Ruby Wood, Enric Domingo, Viktor Hendrik Koelzer, Timothy S. Maughan, Jens Rittscher

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Mitosis domain generalization in histopathology images - The MIDOG challenge.

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

Medical Image Anal., 2023

CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models.

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

CoRR, 2023

Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides.

Lydia A. Schoenpflug, Maxime W. Lafarge, Anja L. Frei, Viktor H. Koelzer

CoRR, 2023

Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies.

Ruby Wood, Enric Domingo, Korsuk Sirinukunwattana, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

SoftCTM: Cell Detection by Soft Instance Segmentation and Consideration of Cell-Tissue Interaction.

Lydia Anette Schoenpflug, Viktor Hendrik Koelzer

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

Detecting Cells in Histopathology Images with a ResNet Ensemble Model.

Maxime W. Lafarge, Viktor Hendrik Koelzer

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

2022

Automated causal inference in application to randomized controlled clinical trials.

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

Nat. Mach. Intell., 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

Towards IID representation learning and its application on biomedical data.

Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Enhancing Local Context of Histology Features in Vision Transformers.

Ruby Wood, Korsuk Sirinukunwattana, Enric Domingo, Alexander Sauer, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher

Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery, 2022

Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset.

Maxime W. Lafarge, Viktor H. Koelzer

Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022

2021

Rotation Invariance and Extensive Data Augmentation: A Strategy for the MItosis DOmain Generalization (MIDOG) Challenge.

Maxime W. Lafarge, Viktor H. Koelzer

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