Katarzyna Bozek

According to our database, Katarzyna Bozek authored at least 20 papers between 2012 and 2026.

Collaborative distances:

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

2026

Understanding Cell Fate Decisions with Temporal Attention.

Florian Bürger, Martim Dias Gomes, Adrián E. Granada, Noémie Moreau, Katarzyna Bozek

CoRR, March, 2026

Self-Supervised ImageNet Representations for In Vivo Confocal Microscopy: Tortuosity Grading without Segmentation Maps.

Kim Ouan, Noémie Moreau, Katarzyna Bozek

CoRR, March, 2026

Context-aware Skin Cancer Epithelial Cell Classification with Scalable Graph Transformers.

Lucas Sancere, Noémie Moreau, Katarzyna Bozek

CoRR, February, 2026

AMAP-APP: Efficient Segmentation and Morphometry Quantification of Fluorescent Microscopy Images of Podocytes.

Arash Fatehi, David Unnersjö-Jess, Linus Butt, Noémie Moreau, Thomas Benzing, Katarzyna Bozek

CoRR, February, 2026

Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma.

Lucas Sancere, Carina Lorenz, Doris Helbig, Oana-Diana Persa, Sonja Dengler, Alexander Kreuter, Martim Laimer, Roland Lang, Anne Fröhlich, Jennifer Landsberg, Johannes Brägelmann, Katarzyna Bozek

PLoS Comput. Biol., 2026

2025

TransientTrack: Advanced Multi-Object Tracking and Classification of Cancer Cells with Transient Fluorescent Signals.

Florian Bürger, Martim Dias Gomes, Nica Gutu, Adrián E. Granada, Noémie Moreau, Katarzyna Bozek

CoRR, December, 2025

ActiTect: A Generalizable Machine Learning Pipeline for REM Sleep Behavior Disorder Screening through Standardized Actigraphy.

David Bertram, Anja Ophey, Sinah Röttgen, Konstantin Kufer, Gereon R. Fink, Elke Kalbe, Clint Hansen, Walter Maetzler, Maximilian Kapsecker, Lara Marie Reimer, Stephan M. Jonas, Andreas T. Damgaard, Natasha B. Bertelsen, Casper Skjærbæk, Per Borghammer, Karolien Groenewald, Pietro-Luca Ratti, Michele T. Hu, Noémie Moreau, Michael Sommerauer, Katarzyna Bozek

CoRR, November, 2025

Histo-Miner: Deep Learning based Tissue Features Extraction Pipeline from H&E Whole Slide Images of Cutaneous Squamous Cell Carcinoma.

Lucas Sancere, Carina Lorenz, Doris Helbig, Oana-Diana Persa, Sonja Dengler, Alexander Kreuter, Martim Laimer, Anne Fröhlich, Jennifer Landsberg, Johannes Brägelmann, Katarzyna Bozek

CoRR, May, 2025

KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level.

Ruining Deng, Tianyuan Yao, Yucheng Tang, Junlin Guo, Siqi Lu, Juming Xiong, Lining Yu, Quan Huu Cap, Pengzhou Cai, Libin Lan, Ze Zhao, Adrian Galdran, Amit Kumar, Gunjan Deotale, Dev Kumar Das, Inyoung Paik, Joonho Lee, Geongyu Lee, Yujia Chen, Wangkai Li, Zhaoyang Li, Xuege Hou, Zeyuan Wu, Shengjin Wang, Maximilian Fischer, Lars Kramer, Anghong Du, Le Zhang, Maria Sanchez Sanchez, Helena Sanchez Ulloa, David Ribalta Heredia, Carlos Perez de Arenaza Garcia, Shuoyu Xu, Bingdou He, Xinping Cheng, Tao Wang, Noémie Moreau, Katarzyna Bozek, Shubham Innani, Ujjwal Baid, Kaura Solomon Kefas, Bennett A. Landman, Yu Wang, Shilin Zhao, Mengmeng Yin, Haichun Yang, Yuankai Huo

CoRR, February, 2025

Active Learning with Uncertainty-Guided Sample Selection for PET/CT Tumor Segmentation.

Mahsa Vali, Hossein Arabi, Katarzyna Bozek

Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2025

2024

Analyzing the Impact of Oncological Data at Different Time Points and Tumor Biomarkers on Artificial Intelligence Predictions for Five-Year Survival in Esophageal Cancer.

Leandra Lukomski, Juan I. Pisula, Naita Wirsik, Alexander Damanakis, Jin-On Jung, Karl Knipper, Rabi R. Datta, Wolfgang Schröder, Florian Gebauer, Thomas Schmidt, Alexander Quaas, Katarzyna Bozek, Christiane J. Bruns, Felix Popp

Mach. Learn. Knowl. Extr., March, 2024

HoLy-Net: Segmentation of histological images of diffuse large B-cell lymphoma.

Hussein Naji, Lucas Sancere, Adrian Simon, Reinhard Büttner, Marie-Lisa Eich, Philipp Lohneis, Katarzyna Bozek

Comput. Biol. Medicine, March, 2024

GLOMNET: A Hover Deep Learning Model for Glomerulus Instance Segmentation.

Noémie Moreau, Michelle Shabani, Christoph Schell, Katarzyna Bozek

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Fine-Tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation.

Juan I. Pisula, Katarzyna Bozek

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Learning Nuclei Representations with Masked Image Modelling.

Piotr Wójcik, Hussein Naji, Adrian Simon, Reinhard Büttner, Katarzyna Bozek

CoRR, 2023

2022

Language models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification.

Juan I. Pisula, Katarzyna Bozek

CoRR, 2022

2018

Pixel personality for dense object tracking in a 2D honeybee hive.

Katarzyna Bozek, Laetitia Hebert, Alexander S. Mikheyev, Greg J. Stephens

CoRR, 2018

Towards Dense Object Tracking in a 2D Honeybee Hive.

Katarzyna Bozek, Laetitia Hebert, Alexander S. Mikheyev, Greg J. Stephens

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2013

Analysis of Physicochemical and Structural Properties Determining HIV-1 Coreceptor Usage.

Katarzyna Bozek, Thomas Lengauer, Saleta Sierra, Rolf Kaiser, Francisco S. Domingues

PLoS Comput. Biol., 2013

2012

Analysis of HIV-host interaction on different scales.

Katarzyna Bozek

PhD thesis, 2012