Carsten Marr

98 papers A* 1A 1Journal 53Unranked 43
YearRankTypeTitle / Venue / Authors
2026 J jnl
Are Object-Centric Representations Better At Compositional Generalization?
CoRR
Ferdinand Kapl, Amir Mohammad Karimi-Mamaghan, Maximilian Seitzer, Karl Henrik Johansson, Carsten Marr, Stefan Bauer, Andrea Dittadi
2026 J jnl
Topological Inductive Bias fosters Multiple Instance Learning in Data-Scarce Scenarios.
Trans. Mach. Learn. Res.
Salome Kazeminia, Carsten Marr, Bastian Rieck
2025 J jnl
A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images.
CoRR
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
2025 J jnl
AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics.
CoRR
Jan Carreras Boada, Rao Muhammad Umer, Carsten Marr
2025 J jnl
Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling.
CoRR
Xudong Sun, Alex Markham, Pratik Misra, Carsten Marr
2025 — conf
Attention Pooling Enhances NCA-Based Classification of Microscopy Images.
MLMI@MICCAI
Chen Yang, Michael Deutges, Jingsong Liu, Han Li, Nassir Navab, Carsten Marr, Ario Sadafi
2025 J jnl
Attention Pooling Enhances NCA-based Classification of Microscopy Images.
CoRR
Chen Yang, Michael Deutges, Jingsong Liu, Han Li, Nassir Navab, Carsten Marr, Ario Sadafi
2025 — conf
CellPilot: A Unified Approach to Automatic and Interactive Segmentation in Histopathology.
ISBI
Philipp Endres, Valentin Koch, Julia A. Schnabel, Carsten Marr
2025 — conf
Continual Multiple Instance Learning for Hematologic Disease Diagnosis.
EMA4MICCAI
Zahra Ebrahimi, Raheleh Salehi, Nassir Navab, Carsten Marr, Ario Sadafi
2025 J jnl
Continual Multiple Instance Learning for Hematologic Disease Diagnosis.
CoRR
Zahra Ebrahimi, Raheleh Salehi, Nassir Navab, Carsten Marr, Ario Sadafi
2025 — conf
CytoDiff: AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics.
ICCVW
Jan Carreras Boada, Rao Muhammad Umer, Carsten Marr
2025 — conf
CytoSAE: Interpretable Cell Embeddings for Hematology.
MICCAI (14)
Muhammed Furkan Dasdelen, Hyesu Lim, Michèle Buck, Katharina S. Götze, Carsten Marr, Steffen Schneider
2025 J jnl
CytoSAE: Interpretable Cell Embeddings for Hematology.
CoRR
Muhammed Furkan Dasdelen, Hyesu Lim, Michèle Buck, Katharina S. Götze, Carsten Marr, Steffen Schneider
2025 J jnl
FL-W3S: Cross-domain federated learning for weakly supervised semantic segmentation of white blood cells.
Int. J. Medical Informatics
Hussain Ahmad Madni, Rao Muhammad Umer, Silvia Zottin, Carsten Marr, Gian Luca Foresti
2025 A* conf
Feature Importance Metrics in the Presence of Missing Data.
ICML
Henrik von Kleist, Joshua Wendland, Ilya Shpitser, Carsten Marr
2025 — conf
Hierarchical Neural Cellular Automata for Lightweight Microscopy Image Classification.
IPMI (1)
Chen Yang, Michael Deutges, Nassir Navab, Ario Sadafi, Carsten Marr
2025 A conf
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling.
AISTATS
Xudong Sun, Nutan Chen, Alexej Gossmann, Yu Xing, Matteo Wohlrapp, Emilio Dorigatti, Carla Feistner, Felix Drost, Daniele Scarcella, Lisa Beer, Carsten Marr
2025 — conf
Neural Cellular Automata for Weakly Supervised Segmentation of White Blood Cells.
EMA4MICCAI
Michael Deutges, Chen Yang, Raheleh Salehi, Nassir Navab, Carsten Marr, Ario Sadafi
2025 J jnl
Neural Cellular Automata for Weakly Supervised Segmentation of White Blood Cells.
CoRR
Michael Deutges, Chen Yang, Raheleh Salehi, Nassir Navab, Carsten Marr, Ario Sadafi
2025 J jnl
Pathryoshka: Compressing Pathology Foundation Models via Multi-Teacher Knowledge Distillation with Nested Embeddings.
CoRR
Christian Grashei, Christian Brechenmacher, Rao Muhammad Umer, Jingsong Liu, Carsten Marr, Ewa Szczurek, Peter J. Schüffler
2025 — conf
RedDino: A Foundation Model for Red Blood Cell Analysis.
MICCAI (4)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Carsten Marr
2025 J jnl
RedDino: A foundation model for red blood cell analysis.
CoRR
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Carsten Marr
2025 J jnl
The role of single cell transcriptomics for efficacy and toxicity profiling of chimeric antigen receptor (CAR) T cell therapies.
Comput. Biol. Medicine
Moritz Thomas, Ruben Brabenec, Lisa Gregor, David Andreu-Sanz, Emanuele Carlini, Philipp Jie Müller, Adrian Gottschlich, Donjete Simnica, Sebastian Kobold, Carsten Marr
2024 — conf
A Data-Driven Solution for The Cold Start Problem in Biomedical Image Classification.
ISBI
Salome Kazeminia, Miroslav Brezík, Sayedali Shetab Boushehri, Carsten Marr
2024 J jnl
CellPilot: A unified approach to automatic and interactive segmentation in histopathology.
CoRR
Philipp Endres, Valentin Koch, Julia A. Schnabel, Carsten Marr
2024 — conf
DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology.
MICCAI (12)
Valentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia A. Schnabel, Tingying Peng, Carsten Marr
2024 J jnl
DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology.
CoRR
Valentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia A. Schnabel, Tingying Peng, Carsten Marr
2024 J jnl
DomainLab: A modular Python package for domain generalization in deep learning.
CoRR
Xudong Sun, Carla Feistner, Alexej Gossmann, George Schwarz, Rao Muhammad Umer, Lisa Beer, Patrick Rockenschaub, Rahul Babu Shrestha, Armin Gruber, Nutan Chen, Sayedali Shetab Boushehri, Florian Buettner, Carsten Marr
2024 — conf
EchoVisuAL: Efficient Segmentation of Echocardiograms Using Deep Active Learning.
MIUA (2)
Isabella Galter, Elida Schneltzer, Carsten Marr, IMPC Consortium, Nadine Spielmann, Martin Hrabé de Angelis
2024 — conf
Low-Resource Finetuning of Foundation Models Beats State-of-the-Art in Histopathology.
ISBI
Benedikt Roth, Valentin Koch, Sophia J. Wagner, Julia A. Schnabel, Carsten Marr, Tingying Peng
2024 J jnl
Low-resource finetuning of foundation models beats state-of-the-art in histopathology.
CoRR
Benedikt Roth, Valentin Koch, Sophia J. Wagner, Julia A. Schnabel, Carsten Marr, Tingying Peng
2024 J jnl
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling.
CoRR
Xudong Sun, Nutan Chen, Alexej Gossmann, Yu Xing, Carla Feistner, Emilio Dorigatt, Felix Drost, Daniele Scarcella, Lisa Beer, Carsten Marr
2024 J jnl
Multimodal Analysis of White Blood Cell Differentiation in Acute Myeloid Leukemia Patients using a β-Variational Autoencoder.
CoRR
Gizem Mert, Ario Sadafi, Raheleh Salehi, Nassir Navab, Carsten Marr
2024 — conf
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images.
MICCAI (3)
Michael Deutges, Ario Sadafi, Nassir Navab, Carsten Marr
2024 J jnl
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images.
CoRR
Michael Deutges, Ario Sadafi, Nassir Navab, Carsten Marr
2024 J jnl
SCAS dashboard: A tool to intuitively and interactively analyze Slurm cluster usage.
J. Open Source Softw.
Thomas Walzthoeni, Bom Bahadur Singiali, N. William Rayner, Francesco Paolo Casale, Christoph Feest, Carsten Marr, Alf Wachsmann
2024 J jnl
Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification.
CoRR
Salome Kazeminia, Max Joosten, Dragan Bosnacki, Carsten Marr
2024 J jnl
UNICORN: A Deep Learning Model for Integrating Multi-Stain Data in Histopathology.
CoRR
Valentin Koch, Sabine Bauer, Valerio Lupperger, Michael Joner, Heribert Schunkert, Julia A. Schnabel, Moritz von Scheidt, Carsten Marr
2023 — conf
A Continual Learning Approach for Cross-Domain White Blood Cell Classification.
DART@MICCAI
Ario Sadafi, Raheleh Salehi, Armin Gruber, Sayedali Shetab Boushehri, Pascal Giehr, Nassir Navab, Carsten Marr
2023 J jnl
A Continual Learning Approach for Cross-Domain White Blood Cell Classification.
CoRR
Ario Sadafi, Raheleh Salehi, Armin Gruber, Sayedali Shetab Boushehri, Pascal Giehr, Nassir Navab, Carsten Marr
2023 — conf
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images.
ISBI
Dominik Jens Elias Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr
2023 — conf
A Study of Age and Sex Bias in Multiple Instance Learning Based Classification of Acute Myeloid Leukemia Subtypes.
CLIP/FAIMI/EPIMI@MICCAI
Ario Sadafi, Matthias Hehr, Nassir Navab, Carsten Marr
2023 J jnl
A Study of Age and Sex Bias in Multiple Instance Learning based Classification of Acute Myeloid Leukemia Subtypes.
CoRR
Ario Sadafi, Matthias Hehr, Nassir Navab, Carsten Marr
2023 — conf
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-Based Multiple Instance Learning.
ISBI
Ario Sadafi, Nassir Navab, Carsten Marr
2023 J jnl
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-based Multiple Instance Learning.
CoRR
Ario Sadafi, Nassir Navab, Carsten Marr
2023 — conf
BEL: A Bag Embedding Loss for Transformer Enhances Multiple Instance Whole Slide Image Classification.
ISBI
Daniel Sens, Ario Sadafi, Francesco Paolo Casale, Nassir Navab, Carsten Marr
2023 J jnl
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification.
CoRR
Daniel Sens, Ario Sadafi, Francesco Paolo Casale, Nassir Navab, Carsten Marr
2023 — conf
BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior.
MICCAI (8)
Yu Liu, Gesine Müller, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
2023 J jnl
BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior.
CoRR
Yu Liu, Gesine Müller, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
2023 J jnl
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology.
CoRR
Rao Muhammad Umer, Armin Gruber, Sayedali Shetab Boushehri, Christian Metak, Carsten Marr
2023 — conf
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images.
IPMI
Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr
2023 J jnl
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images.
CoRR
Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr
2023 J jnl
Topologically-Regularized Multiple Instance Learning for Red Blood Cell Disease Classification.
CoRR
Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Carsten Marr, Bastian Rieck
2022 J jnl
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images.
CoRR
Dominik Jens Elias Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr
2022 — conf
Abstract: A Database and Neural Network for Highly Accurate Classification of Single Bone Marrow Cells.
Bildverarbeitung für die Medizin
Christian Matek, Sebastian Krappe, Christian Münzenmayer, Torsten Haferlach, Carsten Marr
2022 J jnl
Altered expression response upon repeated gene repression in single yeast cells.
PLoS Comput. Biol.
Lea Schuh, Igor Kukhtevich, Poonam Bheda, Melanie Schulz, Maria Bordukova, Robert Schneider, Carsten Marr
2022 — conf
Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification.
MICCAI (8)
Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
2022 J jnl
Anomaly-aware multiple instance learning for rare anemia disorder classification.
CoRR
Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
2022 J jnl
Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction.
CoRR
Dominik Jens Elias Waibel, Scott Atwell, Matthias Meier, Carsten Marr, Bastian Rieck
2022 — conf
Capturing Shape Information with Multi-scale Topological Loss Terms for 3D Reconstruction.
MICCAI (4)
Dominik Jens Elias Waibel, Scott Atwell, Matthias Meier, Carsten Marr, Bastian Rieck
2022 — conf
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet Microscopy.
MICCAI (4)
Yu Liu, Kurt Weiss, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
2022 J jnl
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy.
CoRR
Yu Liu, Kurt Weiss, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
2022 — conf
Systematic Comparison of Incomplete-Supervision Approaches for Biomedical Image Classification.
ICANN (1)
Sayedali Shetab Boushehri, Ahmad Bin Qasim, Dominik Jens Elias Waibel, Fabian Schmich, Carsten Marr
2022 — conf
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification.
MICCAI (3)
Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr
2022 J jnl
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification.
CoRR
Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr
2021 — conf
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias.
ISBI
Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
2021 J jnl
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias.
CoRR
Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
2021 J jnl
InstantDL: an easy-to-use deep learning pipeline for image segmentation and classification.
BMC Bioinform.
Dominik Jens Elias Waibel, Sayedali Shetab Boushehri, Carsten Marr
2021 — conf
Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks.
DART/FAIR@MICCAI
Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
2021 J jnl
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks.
CoRR
Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
2021 J jnl
Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations.
CoRR
Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng
2021 — conf
Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations.
MICCAI (8)
Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng
2020 — conf
Abstract: Recognition of AML Blast Cells in a Curated Single-Cell Dataset of Leukocyte Morphologies Using Deep Convolutional Neural Networks.
Bildverarbeitung für die Medizin
Christian Matek, Simone Schwarz, Karsten Spiekermann, Carsten Marr
2020 — conf
Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders.
MICCAI (5)
Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
2020 J jnl
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders.
CoRR
Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
2020 J jnl
Automatic identification of relevant genes from low-dimensional embeddings of single-cell RNA-seq data.
Bioinform.
Philipp Angerer, David S. Fischer, Fabian J. Theis, Antonio Scialdone, Carsten Marr
2020 — conf
Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground.
MICCAI (5)
Tingying Peng, Lorenz Lamm, Dirk Loeffler, Nouraiz Ahmed, Nassir Navab, Timm Schroeder, Carsten Marr
2019 — conf
Evaluation of Domain Adaptation Approaches for Robust Classification of Heterogeneous Biological Data Sets.
ICANN (2)
Michael Schneider, Lichao Wang, Carsten Marr
2019 J jnl
Human-level recognition of blast cells in acute myeloid leukaemia with convolutional neural networks.
Nat. Mach. Intell.
Christian Matek, Simone Schwarz, Karsten Spiekermann, Carsten Marr
2019 — conf
In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning.
ICANN (3)
Dominik Jens Elias Waibel, Ulf Tiemann, Valerio Lupperger, Henrik Semb, Carsten Marr
2019 — conf
Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological Image Classification and Retrieval.
MICCAI (1)
Tingying Peng, Melanie Boxberg, Wilko Weichert, Nassir Navab, Carsten Marr
2019 — conf
Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy.
MICCAI (1)
Ario Sadafi, Niklas Koehler, Asya Makhro, Anna Bogdanova, Nassir Navab, Carsten Marr, Tingying Peng
2019 — conf
Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net.
ICANN (Workshop)
Manish Mishra, Sabine Schmitt, Hans Zischka, Michael K. Strasser, Nassir Navab, Carsten Marr, Tingying Peng
2018 — conf
Abstract: Digital Cytomorphology - Deep Learning on an Image Data Set of Cell Morphologies in Acute Myeloid Leukemia.
Bildverarbeitung für die Medizin
Christian Matek, Carsten Marr, Karsten Spiekermann
2018 — conf
LNA++: Linear Noise Approximation with First and Second Order Sensitivities.
CMSB
Justin Feigelman, Daniel Weindl, Fabian J. Theis, Carsten Marr, Jan Hasenauer
2017 J jnl
fastER: a user-friendly tool for ultrafast and robust cell segmentation in large-scale microscopy.
Bioinform.
Oliver Hilsenbeck, Michael Schwarzfischer, Dirk Loeffler, Sotiris Dimopoulos, Simon Hastreiter, Carsten Marr, Fabian J. Theis, Timm Schroeder
2016 J jnl
An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson's rule.
Stat. Comput.
Sabine Hug, Michael Schwarzfischer, Jan Hasenauer, Carsten Marr, Fabian J. Theis
2016 — conf
Structure-based assessment of cancerous mitochondria using deep networks.
ISBI
Manish Mishra, Sabine Schmitt, Lichao Wang, Michael K. Strasser, Carsten Marr, Nassir Navab, Hans Zischka, Tingying Peng
2015 — conf
Anatomic-landmark detection using graphical context modelling.
ISBI
Lichao Wang, Vasileios Belagiannis, Carsten Marr, Fabian J. Theis, Guang-Zhong Yang, Nassir Navab
2015 — conf
Approximate Bayesian Computation for Stochastic Single-Cell Time-Lapse Data Using Multivariate Test Statistics.
CMSB
Carolin Loos, Carsten Marr, Fabian J. Theis, Jan Hasenauer
2015 J jnl
Inference of spatiotemporal effects on cellular state transitions from time-lapse microscopy.
BMC Syst. Biol.
Michael K. Strasser, Justin Feigelman, Fabian J. Theis, Carsten Marr
2014 — conf
Centroid Clustering of Cellular Lineage Trees.
ITBAM
Valeriy Khakhutskyy, Michael Schwarzfischer, Nina C. Hubig, Claudia Plant, Carsten Marr, Michael A. Rieger, Timm Schroeder, Fabian J. Theis
2014 J jnl
MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data.
BMC Bioinform.
Justin Feigelman, Fabian J. Theis, Carsten Marr
2014 J jnl
MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data.
CoRR
Justin Feigelman, Fabian J. Theis, Carsten Marr
2013 J jnl
An automatic method for robust and fast cell detection in bright field images from high-throughput microscopy.
BMC Bioinform.
Felix Buggenthin, Carsten Marr, Michael Schwarzfischer, Philipp S. Hoppe, Oliver Hilsenbeck, Timm Schroeder, Fabian J. Theis
2012 J jnl
Cellular Automata on Graphs: Topological Properties of ER Graphs Evolved towards Low-Entropy Dynamics.
Entropy
Carsten Marr, Marc-Thorsten Hütt
2010 J jnl
Patterns of Subnet Usage Reveal Distinct Scales of Regulation in the Transcriptional Regulatory Network of
PLoS Comput. Biol.
Carsten Marr, Fabian J. Theis, Larry S. Liebovitch, Marc-Thorsten Hütt
2008 J jnl
Dissecting the logical types of network control in gene expression profiles.
BMC Syst. Biol.
Carsten Marr, Marcel Geertz, Marc-Thorsten Hütt, Georgi Muskhelishvili