Carsten Marr

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 61

Top Topics

Image Classification

Multiple Instance

Convolutional Neural Networks

Fluorescence Microscopy

Top Venues

Bildverarbeitung für die Medizin

Publications

Valentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia A. Schnabel, Tingying Peng, Carsten Marr
DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology. CoRR (2024)
Michael Deutges, Ario Sadafi, Nassir Navab, Carsten Marr
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images. CoRR (2024)
Salome Kazeminia, Max Joosten, Dragan Bosnacki, Carsten Marr
Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification. CoRR (2024)
Benedikt Roth, Valentin Koch, Sophia J. Wagner, Julia A. Schnabel, Carsten Marr, Tingying Peng
Low-resource finetuning of foundation models beats state-of-the-art in histopathology. CoRR (2024)
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
DomainLab: A modular Python package for domain generalization in deep learning. CoRR (2024)
Xudong Sun, Nutan Chen, Alexej Gossmann, Yu Xing, Carla Feistner, Emilio Dorigatt, Felix Drost, Daniele Scarcella, Lisa Beer, Carsten Marr
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling. CoRR (2024)
Isabella Galter, Elida Schneltzer, Carsten Marr, IMPC Consortium, Nadine Spielmann, Martin Hrabé de Angelis
EchoVisuAL: Efficient Segmentation of Echocardiograms Using Deep Active Learning. MIUA (2) (2024)
Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images. CoRR (2023)
Ario Sadafi, Raheleh Salehi, Armin Gruber, Sayedali Shetab Boushehri, Pascal Giehr, Nassir Navab, Carsten Marr
A Continual Learning Approach for Cross-Domain White Blood Cell Classification. DART@MICCAI (2023)
Dominik Jens Elias Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images. ISBI (2023)
Rao Muhammad Umer, Armin Gruber, Sayedali Shetab Boushehri, Christian Metak, Carsten Marr
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology. CoRR (2023)
Ario Sadafi, Nassir Navab, Carsten Marr
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-Based Multiple Instance Learning. ISBI (2023)
Ario Sadafi, Nassir Navab, Carsten Marr
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-based Multiple Instance Learning. CoRR (2023)
Daniel Sens, Ario Sadafi, Francesco Paolo Casale, Nassir Navab, Carsten Marr
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification. CoRR (2023)
Yu Liu, Gesine Müller, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior. MICCAI (8) (2023)
Daniel Sens, Ario Sadafi, Francesco Paolo Casale, Nassir Navab, Carsten Marr
BEL: A Bag Embedding Loss for Transformer Enhances Multiple Instance Whole Slide Image Classification. ISBI (2023)
Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Carsten Marr, Bastian Rieck
Topologically-Regularized Multiple Instance Learning for Red Blood Cell Disease Classification. CoRR (2023)
Ario Sadafi, Matthias Hehr, Nassir Navab, Carsten Marr
A Study of Age and Sex Bias in Multiple Instance Learning based Classification of Acute Myeloid Leukemia Subtypes. CoRR (2023)
Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images. IPMI (2023)
Ario Sadafi, Raheleh Salehi, Armin Gruber, Sayedali Shetab Boushehri, Pascal Giehr, Nassir Navab, Carsten Marr
A Continual Learning Approach for Cross-Domain White Blood Cell Classification. CoRR (2023)
Ario Sadafi, Matthias Hehr, Nassir Navab, Carsten Marr
A Study of Age and Sex Bias in Multiple Instance Learning Based Classification of Acute Myeloid Leukemia Subtypes. CLIP/FAIMI/EPIMI@MICCAI (2023)
Yu Liu, Gesine Müller, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior. CoRR (2023)
Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification. MICCAI (3) (2022)
Dominik Jens Elias Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images. CoRR (2022)
Christian Matek, Sebastian Krappe, Christian Münzenmayer, Torsten Haferlach, Carsten Marr
Abstract: A Database and Neural Network for Highly Accurate Classification of Single Bone Marrow Cells. Bildverarbeitung für die Medizin (2022)
Dominik Jens Elias Waibel, Scott Atwell, Matthias Meier, Carsten Marr, Bastian Rieck
Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction. CoRR (2022)
Yu Liu, Kurt Weiss, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet Microscopy. MICCAI (4) (2022)
Dominik Jens Elias Waibel, Scott Atwell, Matthias Meier, Carsten Marr, Bastian Rieck
Capturing Shape Information with Multi-scale Topological Loss Terms for 3D Reconstruction. MICCAI (4) (2022)
Sayedali Shetab Boushehri, Ahmad Bin Qasim, Dominik Jens Elias Waibel, Fabian Schmich, Carsten Marr
Systematic Comparison of Incomplete-Supervision Approaches for Biomedical Image Classification. ICANN (1) (2022)
Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification. CoRR (2022)
Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification. MICCAI (8) (2022)
Yu Liu, Kurt Weiss, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy. CoRR (2022)
Lea Schuh, Igor Kukhtevich, Poonam Bheda, Melanie Schulz, Maria Bordukova, Robert Schneider, Carsten Marr
Altered expression response upon repeated gene repression in single yeast cells. PLoS Comput. Biol. 18 (10) (2022)
Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Anomaly-aware multiple instance learning for rare anemia disorder classification. CoRR (2022)
Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng
Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations. CoRR (2021)
Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng
Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations. MICCAI (8) (2021)
Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. ISBI (2021)
Dominik Jens Elias Waibel, Sayedali Shetab Boushehri, Carsten Marr
InstantDL: an easy-to-use deep learning pipeline for image segmentation and classification. BMC Bioinform. 22 (1) (2021)
Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks. CoRR (2021)
Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks. DART/FAIR@MICCAI (2021)
Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. CoRR (2021)
Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders. MICCAI (5) (2020)
Philipp Angerer, David S. Fischer, Fabian J. Theis, Antonio Scialdone, Carsten Marr
Automatic identification of relevant genes from low-dimensional embeddings of single-cell RNA-seq data. Bioinform. 36 (15) (2020)
Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders. CoRR (2020)
Tingying Peng, Lorenz Lamm, Dirk Loeffler, Nouraiz Ahmed, Nassir Navab, Timm Schroeder, Carsten Marr
Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground. MICCAI (5) (2020)
Christian Matek, Simone Schwarz, Karsten Spiekermann, Carsten Marr
Abstract: Recognition of AML Blast Cells in a Curated Single-Cell Dataset of Leukocyte Morphologies Using Deep Convolutional Neural Networks. Bildverarbeitung für die Medizin (2020)
Dominik Jens Elias Waibel, Ulf Tiemann, Valerio Lupperger, Henrik Semb, Carsten Marr
In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning. ICANN (3) (2019)
Tingying Peng, Melanie Boxberg, Wilko Weichert, Nassir Navab, Carsten Marr
Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological Image Classification and Retrieval. MICCAI (1) (2019)
Manish Mishra, Sabine Schmitt, Hans Zischka, Michael K. Strasser, Nassir Navab, Carsten Marr, Tingying Peng
Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net. ICANN (Workshop) (2019)
Christian Matek, Simone Schwarz, Karsten Spiekermann, Carsten Marr
Human-level recognition of blast cells in acute myeloid leukaemia with convolutional neural networks. Nat. Mach. Intell. 1 (11) (2019)
Michael Schneider, Lichao Wang, Carsten Marr
Evaluation of Domain Adaptation Approaches for Robust Classification of Heterogeneous Biological Data Sets. ICANN (2) (2019)
Ario Sadafi, Niklas Koehler, Asya Makhro, Anna Bogdanova, Nassir Navab, Carsten Marr, Tingying Peng
Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy. MICCAI (1) (2019)
Justin Feigelman, Daniel Weindl, Fabian J. Theis, Carsten Marr, Jan Hasenauer
LNA++: Linear Noise Approximation with First and Second Order Sensitivities. CMSB (2018)
Christian Matek, Carsten Marr, Karsten Spiekermann
Abstract: Digital Cytomorphology - Deep Learning on an Image Data Set of Cell Morphologies in Acute Myeloid Leukemia. Bildverarbeitung für die Medizin (2018)
Oliver Hilsenbeck, Michael Schwarzfischer, Dirk Loeffler, Sotiris Dimopoulos, Simon Hastreiter, Carsten Marr, Fabian J. Theis, Timm Schroeder
fastER: a user-friendly tool for ultrafast and robust cell segmentation in large-scale microscopy. Bioinform. 33 (13) (2017)
Sabine Hug, Michael Schwarzfischer, Jan Hasenauer, Carsten Marr, Fabian J. Theis
An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson's rule. Stat. Comput. 26 (3) (2016)
Manish Mishra, Sabine Schmitt, Lichao Wang, Michael K. Strasser, Carsten Marr, Nassir Navab, Hans Zischka, Tingying Peng
Structure-based assessment of cancerous mitochondria using deep networks. ISBI (2016)
Philipp Angerer, Laleh Haghverdi, Maren Büttner, Fabian J. Theis, Carsten Marr, Florian A. Büttner
: diffusion maps for large-scale single-cell data in R. Bioinform. 32 (8) (2016)
Carolin Loos, Carsten Marr, Fabian J. Theis, Jan Hasenauer
Approximate Bayesian Computation for Stochastic Single-Cell Time-Lapse Data Using Multivariate Test Statistics. CMSB (2015)
Lichao Wang, Vasileios Belagiannis, Carsten Marr, Fabian J. Theis, Guang-Zhong Yang, Nassir Navab
Anatomic-landmark detection using graphical context modelling. ISBI (2015)
Michael K. Strasser, Justin Feigelman, Fabian J. Theis, Carsten Marr
Inference of spatiotemporal effects on cellular state transitions from time-lapse microscopy. BMC Syst. Biol. 9 (2015)
Valeriy Khakhutskyy, Michael Schwarzfischer, Nina C. Hubig, Claudia Plant, Carsten Marr, Michael A. Rieger, Timm Schroeder, Fabian J. Theis
Centroid Clustering of Cellular Lineage Trees. ITBAM (2014)
Justin Feigelman, Fabian J. Theis, Carsten Marr
MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data. CoRR (2014)
Justin Feigelman, Fabian J. Theis, Carsten Marr
MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data. BMC Bioinform. 15 (2014)
Felix Buggenthin, Carsten Marr, Michael Schwarzfischer, Philipp S. Hoppe, Oliver Hilsenbeck, Timm Schroeder, Fabian J. Theis
An automatic method for robust and fast cell detection in bright field images from high-throughput microscopy. BMC Bioinform. 14 (2013)
Carsten Marr, Marc-Thorsten Hütt
Cellular Automata on Graphs: Topological Properties of ER Graphs Evolved towards Low-Entropy Dynamics. Entropy 14 (6) (2012)
Carsten Marr, Fabian J. Theis, Larry S. Liebovitch, Marc-Thorsten Hütt
. PLoS Comput. Biol. 6 (7) (2010)
Carsten Marr, Marcel Geertz, Marc-Thorsten Hütt, Georgi Muskhelishvili
Dissecting the logical types of network control in gene expression profiles. BMC Syst. Biol. 2 (2008)