Marc Aubreville

Orcid: 0000-0002-5294-5247

According to our database1, Marc Aubreville authored at least 75 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2024
Rethinking U-net Skip Connections for Biomedical Image Segmentation.
CoRR, 2024

Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides.
CoRR, 2024

Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage - Performance of Human Experts and a Deep Learning.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset.
Dataset, January, 2023

Mitosis domain generalization in histopathology images - The MIDOG challenge.
Medical Image Anal., 2023

Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard.
CoRR, 2023

Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge.
CoRR, 2023

Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors.
CoRR, 2023

Wuerstchen: Efficient Pretraining of Text-to-Image Models.
CoRR, 2023

Why is the winner the best?
CoRR, 2023

Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making.
Proceedings of the Mensch und Computer 2023, 2023

Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Why is the Winner the Best?
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Limits of Human Expert Ensembles in Mitosis Multi-expert Ground Truth Generation.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
Fast Text-Conditional Discrete Denoising on Vector-Quantized Latent Spaces.
CoRR, 2022

Mitosis domain generalization in histopathology images - The MIDOG challenge.
CoRR, 2022

Pan-Tumor CAnine cuTaneous Cancer Histology (CATCH) Dataset.
CoRR, 2022

Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge.
Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022

2021
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge.
CoRR, 2021

Inter-Species Cell Detection: Datasets on pulmonary hemosiderophages in equine, human and feline specimens.
CoRR, 2021

Quantifying the Scanner-Induced Domain Gap in Mitosis Detection.
CoRR, 2021

Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images.
CoRR, 2021

Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge.
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

Iterative Cross-Scanner Registration for Whole Slide Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Robust Quad-Tree based Registration on Whole Slide Images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021

Automatic and explainable grading of meningiomas from histopathology images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021


Cell Detection for Asthma on Partially Annotated Whole Slide Images - Learning to be EXACT.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Are Fast Labeling Methods Reliable? - A Case Study of Computer-aided Expert Annotations on Microscopy Slides.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Deep Learning Algorithms Out-perform Veterinary Pathologists in Detecting the Mitotically Most Active Tumor Region.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: A Completely Annotated Whole Slide Image Dataset of Canine Breast Cancer to Aid Human Breast Cancer Research.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020
Computergestützte Tumordiagnose von Mikroskopiebildern (Computer-Aided Tumor Diagnosis of Microscopy Images)
PhD thesis, 2020

How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment.
CoRR, 2020

Dogs as Model for Human Breast Cancer: A Completely Annotated Whole Slide Image Dataset.
CoRR, 2020

EXACT: A collaboration toolset for algorithm-aided annotation of almost everything.
CoRR, 2020

Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

CLCNET: Deep Learning-Based Noise Reduction for Hearing aids using Complex Linear Coding.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Is Crowd-Algorithm Collaboration an Advanced Alternative to Crowd-Sourcing on Cytology Slides?
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Abstract: How Big is Big Enough?
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019
Fooling the Crowd with Deep Learning-based Methods.
CoRR, 2019

Learning New Tricks from Old Dogs - Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment.
CoRR, 2019

Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides.
CoRR, 2019

Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract.
CoRR, 2019

Field of Interest Prediction for Computer-Aided Mitotic Count.
CoRR, 2019

Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images.
Int. J. Comput. Assist. Radiol. Surg., 2019

Field of Interest Proposal for Augmented Mitotic Cell Count: Comparison of Two Convolutional Networks.
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

Augmented Mitotic Cell Count Using Field of Interest Proposal.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018
Microscopy.
Proceedings of the Medical Imaging Systems - An Introductory Guide, 2018

Deep Denoising for Hearing Aid Applications.
Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract.
Proceedings of the Biomedical Engineering Systems and Technologies, 2018

Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

Motion Artifact Detection in Confocal Laser Endomicroscopy Images.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Classification of Polyethylene Particles and the Local CD3+ Lymphocytosis in Histological Slices.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Classification of Mitotic Cells - Potentials Beyond the Limits of Small Data Sets.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.
CoRR, 2017

A Guided Spatial Transformer Network for Histology Cell Differentiation.
Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 2017

2015
Directionality assessment of adaptive binaural beamforming with noise suppression in hearing aids.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015


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