Carsten Marr
Orcid: 0000-0003-2154-4552
According to our database1,
Carsten Marr
authored at least 49 papers
between 2008 and 2024.
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Bibliography
2024
CoRR, 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling.
CoRR, 2024
Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification.
CoRR, 2024
Low-resource finetuning of foundation models beats state-of-the-art in histopathology.
CoRR, 2024
2023
Topologically-Regularized Multiple Instance Learning for Red Blood Cell Disease Classification.
CoRR, 2023
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology.
CoRR, 2023
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023
BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
BEL: A Bag Embedding Loss for Transformer Enhances Multiple Instance Whole Slide Image Classification.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-Based Multiple Instance Learning.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images.
Proceedings of the Information Processing in Medical Imaging, 2023
A Study of Age and Sex Bias in Multiple Instance Learning Based Classification of Acute Myeloid Leukemia Subtypes.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
2022
PLoS Comput. Biol., October, 2022
Capturing Shape Information with Multi-scale Topological Loss Terms for 3D Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet Microscopy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Systematic Comparison of Incomplete-Supervision Approaches for Biomedical Image Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Abstract: A Database and Neural Network for Highly Accurate Classification of Single Bone Marrow Cells.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
2021
InstantDL: an easy-to-use deep learning pipeline for image segmentation and classification.
BMC Bioinform., 2021
Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Automatic identification of relevant genes from low-dimensional embeddings of single-cell RNA-seq data.
Bioinform., 2020
Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Abstract: Recognition of AML Blast Cells in a Curated Single-Cell Dataset of Leukocyte Morphologies Using Deep Convolutional Neural Networks.
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.
Nat. Mach. Intell., 2019
Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological Image Classification and Retrieval.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019
Evaluation of Domain Adaptation Approaches for Robust Classification of Heterogeneous Biological Data Sets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
2018
Proceedings of the Computational Methods in Systems Biology, 2018
Abstract: Digital Cytomorphology - Deep Learning on an Image Data Set of Cell Morphologies in Acute Myeloid Leukemia.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
fastER: a user-friendly tool for ultrafast and robust cell segmentation in large-scale microscopy.
Bioinform., 2017
2016
An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson's rule.
Stat. Comput., 2016
Bioinform., 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Inference of spatiotemporal effects on cellular state transitions from time-lapse microscopy.
BMC Syst. Biol., 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Approximate Bayesian Computation for Stochastic Single-Cell Time-Lapse Data Using Multivariate Test Statistics.
Proceedings of the Computational Methods in Systems Biology, 2015
2014
MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data.
BMC Bioinform., 2014
Proceedings of the Information Technology in Bio- and Medical Informatics, 2014
2013
An automatic method for robust and fast cell detection in bright field images from high-throughput microscopy.
BMC Bioinform., 2013
2012
Cellular Automata on Graphs: Topological Properties of ER Graphs Evolved towards Low-Entropy Dynamics.
Entropy, 2012
2010
Patterns of Subnet Usage Reveal Distinct Scales of Regulation in the Transcriptional Regulatory Network of <i>Escherichia coli</i>.
PLoS Comput. Biol., 2010
2008
BMC Syst. Biol., 2008