Katarzyna Bozek

22 papers A* 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
AMAP-APP: Efficient Segmentation and Morphometry Quantification of Fluorescent Microscopy Images of Podocytes.
CoRR
Arash Fatehi, David Unnersjö-Jess, Linus Butt, Noémie Moreau, Thomas Benzing, Katarzyna Bozek
2026 J jnl
Context-aware Skin Cancer Epithelial Cell Classification with Scalable Graph Transformers.
CoRR
Lucas Sancere, Noémie Moreau, Katarzyna Bozek
2026 J jnl
Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma.
PLoS Comput. Biol.
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
2026 J jnl
Self-Supervised ImageNet Representations for In Vivo Confocal Microscopy: Tortuosity Grading without Segmentation Maps.
CoRR
Kim Ouan, Noémie Moreau, Katarzyna Bozek
2026 J jnl
Understanding Cell Fate Decisions with Temporal Attention.
CoRR
Florian Bürger, Martim Dias Gomes, Adrián E. Granada, Noémie Moreau, Katarzyna Bozek
2025 J jnl
ActiTect: A Generalizable Machine Learning Pipeline for REM Sleep Behavior Disorder Screening through Standardized Actigraphy.
CoRR
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
2025 — conf
Active Learning with Uncertainty-Guided Sample Selection for PET/CT Tumor Segmentation.
IST
Mahsa Vali, Hossein Arabi, Katarzyna Bozek
2025 J jnl
Histo-Miner: Deep Learning based Tissue Features Extraction Pipeline from H&E Whole Slide Images of Cutaneous Squamous Cell Carcinoma.
CoRR
Lucas Sancere, Carina Lorenz, Doris Helbig, Oana-Diana Persa, Sonja Dengler, Alexander Kreuter, Martim Laimer, Anne Fröhlich, Jennifer Landsberg, Johannes Brägelmann, Katarzyna Bozek
2025 J jnl
KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level.
CoRR
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
2025 J jnl
TransientTrack: Advanced Multi-Object Tracking and Classification of Cancer Cells with Transient Fluorescent Signals.
CoRR
Florian Bürger, Martim Dias Gomes, Nica Gutu, Adrián E. Granada, Noémie Moreau, Katarzyna Bozek
2024 J jnl
Analyzing the Impact of Oncological Data at Different Time Points and Tumor Biomarkers on Artificial Intelligence Predictions for Five-Year Survival in Esophageal Cancer.
Mach. Learn. Knowl. Extr.
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
2024 — conf
Fine-Tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation.
ECCV Workshops (16)
Juan I. Pisula, Katarzyna Bozek
2024 J jnl
Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation.
CoRR
Juan I. Pisula, Katarzyna Bozek
2024 — conf
GLOMNET: A Hover Deep Learning Model for Glomerulus Instance Segmentation.
ISBI
Noémie Moreau, Michelle Shabani, Christoph Schell, Katarzyna Bozek
2024 J jnl
HoLy-Net: Segmentation of histological images of diffuse large B-cell lymphoma.
Comput. Biol. Medicine
Hussein Naji, Lucas Sancere, Adrian Simon, Reinhard Büttner, Marie-Lisa Eich, Philipp Lohneis, Katarzyna Bozek
2023 J jnl
Learning Nuclei Representations with Masked Image Modelling.
CoRR
Piotr Wójcik, Hussein Naji, Adrian Simon, Reinhard Büttner, Katarzyna Bozek
2022 J jnl
Language models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification.
CoRR
Juan I. Pisula, Katarzyna Bozek
2018 J jnl
Pixel personality for dense object tracking in a 2D honeybee hive.
CoRR
Katarzyna Bozek, Laetitia Hebert, Alexander S. Mikheyev, Greg J. Stephens
2018 A* conf
Towards Dense Object Tracking in a 2D Honeybee Hive.
CVPR
Katarzyna Bozek, Laetitia Hebert, Alexander S. Mikheyev, Greg J. Stephens
2017 J jnl
Towards dense object tracking in a 2D honeybee hive.
CoRR
Katarzyna Bozek, Laetitia Hebert, Alexander S. Mikheyev, Greg J. Stephens
2013 J jnl
Analysis of Physicochemical and Structural Properties Determining HIV-1 Coreceptor Usage.
PLoS Comput. Biol.
Katarzyna Bozek, Thomas Lengauer, Saleta Sierra, Rolf Kaiser, Francisco S. Domingues
2012 — —
Analysis of HIV-host interaction on different scales.
Katarzyna Bozek