Christian Matek

According to our database, Christian Matek authored at least 17 papers between 2018 and 2026.

Collaborative distances:

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

2026

Tissue Classification and Whole-Slide Images Analysis via Modeling of the Tumor Microenvironment and Biological Pathways.

Junzhuo Liu, Xuemei Du, Daniel Reisenbüchler, Ye Chen, Markus Eckstein, Christian Matek, Friedrich Feuerhake, Dorit Merhof

CoRR, January, 2026

Hierarchical supervision in DINOv2 training improves generalizability on white blood cell images.

Manon Chossegros, Sophia J. Wagner, Christian Matek, Daniel Stockholm, Xavier Tannier, Carsten Marr

Expert Syst. Appl., 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

Navigating Through Whole Slide Images With Hierarchy, Multi-Object, and Multi-Scale Data.

Manuel Tran, Sophia J. Wagner, Wilko Weichert, Christian Matek, Melanie Boxberg, Tingying Peng

IEEE Trans. Medical Imaging, May, 2025

Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning.

Pratibha Kumari, Afshin Bozorgpour, Daniel Reisenbüchler, Edgar Jost, Martina Crysandt, Christian Matek, Dorit Merhof

CoRR, March, 2025

Top-Down Attention-Based Multiple Instance Learning for Whole Slide Image Analysis.

Daniel Reisenbüchler, Ruining Deng, Christian Matek, Friedrich Feuerhake, Dorit Merhof

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2023

Data Models for Dataset Drift Controls in Machine Learning With Optical Images - Datasets.

Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jérôme Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti

Dataset, May, 2023

Data Models for Dataset Drift Controls in Machine Learning With Optical Images.

Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jérôme Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti

Trans. Mach. Learn. Res., 2023

B-Cos Aligned Transformers Learn Human-Interpretable Features.

Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng

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

2022

More than just sound: Harnessing metadata to improve neural network classifiers for medical auscultation.

Christian Matek

Patterns, 2022

Data Models for Dataset Drift Controls in Machine Learning With Images.

Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jérôme Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti

CoRR, 2022

Abstract: A Database and Neural Network for Highly Accurate Classification of Single Bone Marrow Cells.

Christian Matek, Sebastian Krappe, Christian Münzenmayer, Torsten Haferlach, Carsten Marr

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Machine Learning for Health: Algorithm Auditing & Quality Control.

Luis Oala, Andrew G. Murchison, Pradeep Balachandran, Shruti Choudhary, Jana Fehr, Alixandro Werneck Leite, Peter G. Goldschmidt, Christian Johner, Elora D. M. Schörverth, Rose Nakasi, Martin Meyer, Federico Cabitza, Pat D. Baird, Carolin Prabhu, Eva Weicken, Xiaoxuan Liu, Markus Wenzel, Steffen Vogler, Darlington Ahiale Akogo, Shada Alsalamah, Emre Kazim, Adriano S. Koshiyama, Sven Piechottka, Sheena Macpherson, Ian Shadforth, Regina Geierhofer, Christian Matek, Joachim Krois, Bruno Sanguinetti, Matthew Arentz, Pavol Bielik, Saúl Calderón Ramírez, Auss Abbood, Nicolas Langer, Stefan Haufe, Ferath Kherif, Sameer Pujari, Wojciech Samek, Thomas Wiegand

J. Medical Syst., 2021

2020

ML4H Auditing: From Paper to Practice.

Luis Oala, Jana Fehr, Luca Gilli, Pradeep Balachandran, Alixandro Werneck Leite, Saúl Calderón Ramírez, Danny Xie Li, Gabriel Nobis, Erick Alejandro Muñoz Alvarado, Giovanna Jaramillo-Gutierrez, Christian Matek, Arun Shroff, Ferath Kherif, Bruno Sanguinetti, Thomas Wiegand

Proceedings of the Machine Learning for Health Workshop, 2020

Abstract: Recognition of AML Blast Cells in a Curated Single-Cell Dataset of Leukocyte Morphologies Using Deep Convolutional Neural Networks.

Christian Matek, Simone Schwarz, Karsten Spiekermann, Carsten Marr

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

Human-level recognition of blast cells in acute myeloid leukaemia with convolutional neural networks.

Christian Matek, Simone Schwarz, Karsten Spiekermann, Carsten Marr

Nat. Mach. Intell., 2019

2018

Abstract: Digital Cytomorphology - Deep Learning on an Image Data Set of Cell Morphologies in Acute Myeloid Leukemia.

Christian Matek, Carsten Marr, Karsten Spiekermann

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018