Big Data Analysis

About us

The Marr Lab develops methods to improve image-based diagnostics, therapeutic targets, and the prediction of biomedical system kinetics in close collaboration with our biomedical and clinical partners.

  • We design deep learning algorithms to analyze images and profile single cells, exploiting the information contained in huge biomedical data sets. 
  • We build interpretable mechanistic models that enable the inclusion of prior knowledge to advance our understanding of biomedical systems. 
  • We closely collaborate with clinical and medical researchers to translate our methods towards real-word clinical solutions. 

Key Publications

von Kleist, Henrik, ... Marr, Carsten. 2025 Feature Importance Metrics in the Presence of Missing Data. ICML


Tran, Manuel, Schmidle, Paul, ..., Eyerich,  Kilian, Braun, Stephan A., Marr, Carsten, Peng, Tingying. 2025 Generating Dermatopathology Reports from Gigapixel Whole Slide Images with HistoGPT. Nature Communications


Gottschlich, Adrian, Moritz Thomas, Ruth Grünmeier, …, Carsten Marr and Sebatian Kobold. 2023  Single-Cell Transcriptomic Atlas-Guided Development of CAR-T Cells for the Treatment of Acute Myeloid Leukemia. Nature Biotechnology


Boushehri, Sayedali S., Katharina Essig, ..., Elke Glasmacher, Carsten Marr, and Fabian Schmich. 2023 Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodiesNature Communications


Hehr, Matthias, ..., Carsten Marr. 2023 Explainable AI identifies diagnostic cells of genetic AML subtypesPLOS Digital Health


Matek, Christian, Sebastian Krappe, Christian Münzenmayer, Torsten Haferlach, and Carsten Marr. 2021  Highly Accurate Differentiation of Bone Marrow Cell Morphologies Using Deep Neural Networks on a Large Image Data Set. Blood


Matek, Christian, Simone Schwarz, Karsten Spiekermann, and Carsten Marr. 2019 Human-level recognition of blast cells in acute myeloid leukaemia with convolutional neural networks. Nature Machine Intelligence


Strasser, Michael K., Philipp S. Hoppe, Dirk Loeffler, Konstantinos D. Kokkaliaris, Timm Schroeder, Fabian J. Theis, and Carsten Marr. 2018  Lineage Marker Synchrony in Hematopoietic Genealogies Refutes the PU.1/GATA1 Toggle Switch Paradigm. Nature Communications


Buggenthin, Felix, Florian Buettner, ..., Timm Schroeder, Fabian J Theis, and Carsten Marr. 2017 Prospective identification of hematopoietic lineage choice by deep learning. Nature Methods

For the complete list of publications, see Google Scholar

Scientists

Carsten Marr
Prof. Carsten Marr

Director Institute of AI for Health

Profil anzeigen
Porträt Amirhossein Kardoost
Amirhossein Kardoost

Postdoc

Ario Sadafi

Postdoc

Ivan Kukuljan

Postdoc

Maximilian Buser

Postdoc

Rao Umer

Postdoc

Salome Kazeminia

PhD Candidate

Benedikt Mairhörman

PhD Candidate

Christian Brechenmacher

PhD Candidate

Nasrine Bekhedda

PhD Candidate

Michael Deutges

PhD Candidate

Muhammad Furkan Dasdelen

PhD Candidate

Daniele Scarcella

PhD Candidate

PhD Student

Email

Ilaria Looser
Ferdinand Kapl

PhD Candidate

Maximilian Hörmann

PhD Candidate

Latest Publications

In: (28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, 23-27 September 2025, Daejeon). 2026. 445-455 (Lect. Notes Comput. Sc. ; 15963 LNCS)

Zedda, L. ; Loddo, A. ; Di Ruberto, C. ; Marr, C.

RedDino: A Foundation Model for Red Blood Cell Analysis.
In: (28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, 23-27 September 2025, Daejeon). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2026. 77-86 (Lect. Notes Comput. Sc. ; 15973 LNCS)

Dasdelen, M.F. ; Lim, H. ; Buck, M. ; Götze, K.S. ; Marr, C. ; Schneider, S.

CytoSAE: Interpretable Cell Embeddings for Hematology.
In: (29th International Conference on Information Processing in Medical Imaging, IPMI 2025, 25-30 May 2025, Kos). 2026. 19-32 (Lect. Notes Comput. Sc. ; 15829 LNCS)

Yang, C. ; Deutges, M. ; Navab, N. ; Sadafi, A. ; Marr, C.

Hierarchical Neural Cellular Automata for Lightweight Microscopy Image Classification.

Contact

Marianne Antunes

Administrative Assistant

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