Katja Steiger

According to our database, Katja Steiger authored at least 8 papers between 2015 and 2026.

Collaborative distances:

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

2026

InSituPy: a framework for histology-guided, multi-sample analysis of single-cell spatial omics data.

Johannes Wirth, Anna Chernysheva, Birthe Lemke, Isabel Giray, Katja Steiger

Bioinform., 2026

2025

A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images.

Rao Muhammad Umer, Daniel Sens, Jonathan Noll, Christian Matek, Lukas Wolfseher, Rainer Spang, Ralf Huss, Johannes Raffler, Sarah Reinke, Wolfram Klapper, Katja Steiger, Kristina Schwamborn, Carsten Marr

CoRR, December, 2025

2024

Multitask Weakly Supervised Generative Network for MR-US Registration.

Mohammad Farid Azampour, Kristina Mach, Emad Fatemizadeh, Beatrice Demiray, Kay Westenfelder, Katja Steiger, Matthias Eiber, Thomas Wendler, Bernhard Kainz, Nassir Navab

IEEE Trans. Medical Imaging, November, 2024

2022

Multi-Scale Investigation of Human Renal Tissue in Three Dimensions.

Madleen Busse, Simone Ferstl, Melanie A. Kimm, Lorenz Hehn, Katja Steiger, Sebastian Allner, Mark Müller, Enken Drecoll, Toni Bürkner, Martin Dierolf, Bernhard Gleich, Wilko Weichert, Franz Pfeiffer

IEEE Trans. Medical Imaging, 2022

2021

In silico study on radiobiological efficacy of Ac-225 and Lu-177 for PSMA-guided radiotherapy.

Gabriele Birindelli, Milos Drobnjakovic, Volker Morath, Katja Steiger, Calogero D'Alessandria, Eleni Gourni, Ali Afshar-Oromieh, Wolfgang Weber, Axel Rominger, Matthias Eiber, Kuangyu Shi

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks.

Magdalini Paschali, Muhammad Ferjad Naeem, Walter Simson, Katja Steiger, Martin Mollenhauer, Nassir Navab

CoRR, 2019

2016

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images.

Abhishek Vahadane, Tingying Peng, Amit Sethi, Shadi Albarqouni, Lichao Wang, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Irene Esposito, Nassir Navab

IEEE Trans. Medical Imaging, 2016

2015

Structure-preserved color normalization for histological images.

Abhishek Vahadane, Tingying Peng, Shadi Albarqouni, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Amit Sethi, Irene Esposito, Nassir Navab

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015