Marr Lab
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
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 antibodies. Nature Communications
Hehr, Matthias, ..., Carsten Marr. 2023 Explainable AI identifies diagnostic cells of genetic AML subtypes. PLOS 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
Postdoc
Postdoc
Postdoc
Postdoc
PhD Candidate
Clinical AI Consultant
PhD Candidate
PhD Candidate
PhD Candidate
PhD Candidate
PhD Candidate
PhD Candidate
PhD Student
PhD Candidate
PhD Candidate
Latest Publications
Kardoost, A. ; Ghanem, N. ; Li, T. ; Kolter, J. ; Marr, C.
A large-scale expert-annotated 3D image dataset of dermal tissue macrophages.Dasdelen, M.F. ; Ozlugedik, F. ; Looser, I. ; Umer, R.M. ; Pohlkamp, C. ; Marr, C.
Genetically Aligned Patient Representations Improve Hematological Diagnosis.Grashei, C. ; Brechenmacher, C. ; Umer, R.M. ; Liu, J. ; Marr, C. ; Schüffler, P. ; Szczurek, E.
Pathryoshka: Compressing Pathology Foundation Models via Multi-teacher Knowledge Distillation with Nested Embeddings.Contact
