Marc Aubreville
Professor
Head of the Visual Computing Group at Flensburg University of Applied Sciences
I’ve received my Ph.D (Dr.-Ing.) from Friedrich-Alexander-Universität Erlangen-Nürnberg and my M. Sc. (Dipl.-Ing.) from Karlsruhe Institute of Technology. My vision is to utilize the power of artificial intelligence algorithms and scale them to clinical applications. With 10+ years of industry experience, I know what it takes to create a great medical product.
Current roles:
- Professor
- PhD advisor
- PI for two DFG projects (545049923, 520330054)
- Editor for Scientific Data
- Speaker of the MINT Team of the doctoral college of Schleswig Holstein (PKSH).
Publications
2026
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A Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis
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Abstract: Investigation of Class Separability within Object Detection Models in Histopathology
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Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation
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Benchmarking Foundation Models for Mitotic Figure Classification
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Cognitive biases in AI–assisted medical decision making: A structured review as a primer for veterinary and human pathology
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Data set creation for supervised deep learning–based analysis of microscopic images: Review of important considerations and recommendations
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Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces SWAN
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Evaluation of ChatGPT Study Mode: Results from an Expert Rating Regarding Self-Regulated Learning
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Exploring General-purpose Autonomous Multimodal Agents for Pathology Report Generation
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Feasibility of confocal laser endomicroscopy as an optical biopsy method for SCC on the auricle : an exploratory study
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Filtering Scheme for Confocal Laser Endomicroscopy (CLE)-video Sequences for Self-supervised Learning
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Intratumoral distribution of anisokaryosis in canine cutaneous mast cell tumors
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Mitosis Domain Generalization (MIDOG) Challenge 2025 Baselines
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Mitotic Figure Detection and Atypia Classification in Whole Slide Images: MICCAI Challenge: MIDOG 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
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Optical biopsy of nasal cavity cancer with confocal laser endomicroscopy – a pilot study
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Performance evaluation of deep learning models for image analysis: Considerations for visual assessment and statistical metrics
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Reporting Transparency in Veterinary Pathology Deep Learning: A Systematic Review of Reproducibility-Critical Details
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Reporting transparency in veterinary pathology deep learning: A systematic review of reproducibility-critical details
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Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology
2025
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"When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology
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An interdisciplinary perspective on AI-supported decision making in medicine
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Artificial intelligence predicts <i>c-KIT</i> exon 11 genotype by phenotype in canine cutaneous mast cell tumors: Can human observers learn it?
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Automation Bias in AI-assisted Medical Decision-making under Time Pressure in Computational Pathology
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Beyond accuracy: Quantifying the reliability of multiple instance learning for whole slide image classification
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Characterization of irradiated mucosa using confocal laser endomicroscopy in the upper aerodigestive tract
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Chromosome Mask-Conditioned Generative Inpainting for Atypical Mitosis Classification
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Comprehensive Dataset of Coarse Tumor Annotations for The Cancer Genome Atlas Breast Invasive Carcinoma
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Domänenübergreifende Generalisierbarkeit von Deep Learning-basierten Bildanalysealgorithmen in der HistopathologieCross-Domain Generalization of Deep Learning-Based Image Analysis Algorithms in Histopathology
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Effortless Vision-Language Model Specialization in Histopathology without Annotation
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Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br)
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Investigation of Class Separability within Object Detection Models in Histopathology
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Is Self-supervision Enough?: Benchmarking Foundation Models Against End-to-end Training for Mitotic Figure Classification
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Mitosis Domain Generalization Challenge 2025
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Reporting guidelines for manuscripts that use artificial intelligence–based automated image analysis in <i>Veterinary Pathology</i>
2024
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An Interdisciplinary Perspective on AI-Supported Decision Making in Medicine
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Artificial intelligence can be trained to predict <i>c-KIT</i> -11 mutational status of canine mast cell tumors from hematoxylin and eosin-stained histological slides
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Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning
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Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry
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Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility
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Breast cancer survival prediction using an automated mitosis detection pipeline
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Developing Robust AI Applications for Clinical Use: The Special Case of Pathology
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Diagnosis of malignancy in oropharyngeal confocal laser endomicroscopy using GPT 4.0 with vision
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Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge
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Feasibility of Optical Biopsy During Endoscopic Sinus Surgery With Confocal Laser Endomicroscopy: A Pilot Study
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Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors
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Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors
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Improving CNN-Based Mitosis Detection through Rescanning Annotated Glass Slides and Atypical Mitosis Subtyping
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Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis
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Leveraging Image Captions for Selective Whole Slide Image Annotation
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Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis
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Nuclear pleomorphism in canine cutaneous mast cell tumors: Comparison of reproducibility and prognostic relevance between estimates, manual morphometry, and algorithmic morphometry
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Oral mucosa - an examination map for confocal laser endomicroscopy within the oral cavity: an experimental clinical study
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Perceived responsibility in AI-supported medicine
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Perceived responsibility in AI-supported medicine
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Prediction of tumor board procedural recommendations using large language models
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Re-identification from histopathology images
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Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models
2023
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A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent Spaces
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A comprehensive multi-domain dataset for mitotic figure detection
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Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation
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Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making
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Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays
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Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images
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Cellular density and variability in laryngeal and pharyngeal squamous cell carcinoma using confocal laser endomicroscopy
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Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images
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Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector
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Defining a baseline identification of artifacts in confocal laser endomicroscopy in head and neck cancer imaging
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Histological classification of canine and feline lymphoma using a modular approach based on deep learning and advanced image processing
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Limits of Human Expert Ensembles in Mitosis Multi-expert Ground Truth Generation
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Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology
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Mitosis Domain Generalization and Diabetic Retinopathy Analysis: MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18–22, 2022, Proceedings
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Mitosis domain generalization in histopathology images — The MIDOG challenge
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Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset
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Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry
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Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge
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Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge
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Segmentation metric misinterpretations in bioimage analysis
2022
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Classification of visibility in multi-stain microscopy images
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Computer-assisted mitotic count using a deep learning–based algorithm improves interobserver reproducibility and accuracy
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Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge
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Impact of intraepithelial capillary loops and atypical vessels in confocal laser endomicroscopy for the diagnosis of laryngeal and hypopharyngeal squamous cell carcinoma
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Inter-species cell detection - datasets on pulmonary hemosiderophages in equine, human and feline specimens
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Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset
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Validation of a classification and scoring system for the diagnosis of laryngeal and pharyngeal squamous cell carcinomas by confocal laser endomicroscopy
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Validity of tissue homogeneity in confocal laser endomicroscopy on the diagnosis of laryngeal and hypopharyngeal squamous cell carcinoma
2021
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Automatic and explainable grading of meningiomas from histopathology images
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Cell Detection for Asthma on Partially Annotated Whole Slide Images: Learning to be EXACT
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Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors
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EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control
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Feasibility of intraoperative assessment of safe surgical margins during laryngectomy with confocal laser endomicroscopy: A pilot study
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Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment
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International Guidelines for Veterinary Tumor Pathology: A Call to Action
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Intraoperative free margins assessment of oropharyngeal squamous cell carcinoma with confocal laser endomicroscopy: a pilot study
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Iterative Cross-Scanner Registration for Whole Slide Images
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Mitotic Figures—Normal, Atypical, and Imposters: A Guide to Identification
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Robust quad-tree based registration on whole slide images
2020
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A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research
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Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides
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Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels
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CLCNET: Deep Learning-Based Noise Reduction for Hearing aids using Complex Linear Coding
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Computer-Aided Tumor Diagnosis of Microscopy Images
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Computerized Calculation of Mitotic Count Distribution in Canine Cutaneous Mast Cell Tumor Sections: Mitotic Count Is Area Dependent
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Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides
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Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region
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Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment: Learning New Tricks from Old Dogs
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Is Crowd-Algorithm Collaboration an Advanced Alternative to Crowd-Sourcing on Cytology Slides?
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Mitotic Count in Canine Cutaneous Mast Cell Tumours – Not Accurate but Reproducible
2019
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A large-scale dataset for mitotic figure assessment on whole slide images of canine cutaneous mast cell tumor
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Augmented Mitotic Cell Count Using Field of Interest Proposal
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Augmented Mitotic Cell Count Using Field of Interest Proposal
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Classification of Leukemic B-Lymphoblast Cells from Blood Smear Microscopic Images with an Attention-Based Deep Learning Method and Advanced Augmentation Techniques
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Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images
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Field of Interest Proposal for Augmented Mitotic Cell Count: Comparison of Two Convolutional Networks:
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Field of Interest Proposal for Augmented Mitotic Cell Count: Comparison of Two Convolutional Networks:
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Probe-based confocal laser endomicroscopy in detecting malignant lesions of vocal folds
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Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract
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Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract
2018
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Classification of Mitotic Cells: Potentials Beyond the Limits of Small Data Sets
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Classification of Polyethylene Particles and the Local CD3+ Lymphocytosis in Histological Slices
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Deep Denoising for Hearing Aid Applications
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Microscopy
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Motion Artifact Detection in Confocal Laser Endomicroscopy Images
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Motion Artifact Detection in Confocal Laser Endomicroscopy Images
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Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment:
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SlideRunner: A Tool for Massive Cell Annotations in Whole Slide Images
2017
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A Guided Spatial Transformer Network for Histology Cell Differentiation
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Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning