Marc Aubreville

Christopher C. Kaltenecker

Jonathan Ganz

Jonas Ammeling

Christof A. Bertram

CoRR, 2024

Rethinking U-net Skip Connections for Biomedical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Christof Albert Bertram

CoRR, 2024

Leveraging Image Captions for Selective Whole Slide Image Annotation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Federico Bonsembiante

Christiane Weissenbacher-Lang

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Pan-Tumor T-Lymphocyte Detection Dataset.

[BibT_eX]

[DOI]

Dataset, February, 2023

Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset.

[BibT_eX]

[DOI]

Dataset, January, 2023

Mitosis domain generalization in histopathology images - The MIDOG challenge.

[BibT_eX]

[DOI]

Medical Image Anal., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Wuerstchen: Efficient Pretraining of Text-to-Image Models.

[BibT_eX]

[DOI]

Pablo Pernias

Dominic Rampas

Kimberlin M. H. van Wijnen

CoRR, 2023

Why is the winner the best?

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Mensch und Computer 2023, 2023

Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Why is the Winner the Best?

[BibT_eX]

[DOI]

Matthias Eisenmann

Annika Reinke

Vivienn Weru

Minu Dietlinde Tizabi

Jonathan Rafael-Patino

Vivek Singh Bawa

Stefanie Speidel

Carole H. Sudre

Christoph M. Friedrich

Maria Grammatikopoulou

S. Hong

Mostafa Jahanifar

I. Jang

Abdolrahim Kadkhodamohammadi

Annette Kopp-Schneider

Lena Maier-Hein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Limits of Human Expert Ensembles in Mitosis Multi-expert Ground Truth Generation.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays.

[BibT_eX]

[DOI]

Christoph Brochhausen-Delius

Christian Schulz

Katharina Breininger

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Mitosis domain generalization in histopathology images - The MIDOG challenge.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Frauke Wilm

Katharina Breininger

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Quantifying the Scanner-Induced Domain Gap in Mitosis Detection.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Robust Quad-Tree based Registration on Whole Slide Images.

[BibT_eX]

[DOI]

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

Automatic and explainable grading of meningiomas from histopathology images.

[BibT_eX]

[DOI]

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Cell Detection for Asthma on Partially Annotated Whole Slide Images - Learning to be EXACT.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Judith Hoppe

Alina Langenhagen

Jörn Voigt

Robert Klopfleisch

Andreas Maier

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors.

[BibT_eX]

[DOI]

Christof A. Bertram

Taryn A. Donovan

Marco Tecilla

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Computergestützte Tumordiagnose von Mikroskopiebildern (Computer-Aided Tumor Diagnosis of Microscopy Images)

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides.

[BibT_eX]

[DOI]

Judith Hoppe

Alina Langenhagen

Jörn Voigt

Robert Klopfleisch

Andreas Maier

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Hendrik Schröter

Tobias Rosenkranz

Alberto N. Escalante-B.

Andreas K. Maier

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Is Crowd-Algorithm Collaboration an Advanced Alternative to Crowd-Sourcing on Cytology Slides?

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Abstract: How Big is Big Enough?

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

Fooling the Crowd with Deep Learning-based Methods.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Field of Interest Prediction for Computer-Aided Mitotic Count.

[BibT_eX]

[DOI]

CoRR, 2019

Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2019

Field of Interest Proposal for Augmented Mitotic Cell Count: Comparison of Two Convolutional Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

Microscopy.

[BibT_eX]

[DOI]

Firas Mualla