Friedrich Feuerhake

Orcid: 0000-0002-1234-982X

According to our database1, Friedrich Feuerhake authored at least 41 papers between 2013 and 2026.

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Timeline

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Bibliography

2026
Explainable histomorphology-based survival prediction of glioblastoma, IDH-wildtype.
CoRR, January, 2026

Tissue Classification and Whole-Slide Images Analysis via Modeling of the Tumor Microenvironment and Biological Pathways.
CoRR, January, 2026

Spatial transcriptomics expression prediction from histopathology based on cross-modal mask reconstruction and contrastive learning.
Medical Image Anal., 2026

DSA-CycleGAN: A Domain Shift Aware Cyclegan for Robust Multi-Stain Glomeruli Segmentation.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
Automatic Extraction of Rules for Generating Synthetic Patient Data From Real-World Population Data Using Glioblastoma as an Example.
CoRR, December, 2025

HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification.
CoRR, June, 2025

Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis.
CoRR, May, 2025

Tissue concepts: Supervised foundation models in computational pathology.
Comput. Biol. Medicine, 2025

Top-Down Attention-Based Multiple Instance Learning for Whole Slide Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Preservation of Image Content in Stain-to-stain Translation for Digital Pathology.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

2024
Overcoming data scarcity in biomedical imaging with a foundational multi-task model.
Nat. Comput. Sci., July, 2024

Unsupervised Latent Stain Adaption for Digital Pathology.
CoRR, 2024

Machine learning-based analysis of glioma tissue sections: a review.
CoRR, 2024

Unsupervised Latent Stain Adaptation for Computational Pathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Continual Domain Incremental Learning for Privacy-Aware Digital Pathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Utnetpara: A Hybrid CNN-Transformer Architecture with Multi-Scale Fusion for Whole-Slide Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
HistoStarGAN: A unified approach to stain normalisation, stain transfer and stain invariant segmentation in renal histopathology.
Knowl. Based Syst., October, 2023

2022
CycleGAN for virtual stain transfer: Is seeing really believing?
Artif. Intell. Medicine, 2022

2021
Towards histopathological stain invariance by Unsupervised Domain Augmentation using generative adversarial networks.
Neurocomputing, 2021

An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology.
Comput. Methods Programs Biomed., 2021

Self Adversarial Attack as an Augmentation Method for Immunohistochemical Stainings.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Graph-based description of tertiary lymphoid organs at single-cell level.
PLoS Comput. Biol., 2020

An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images.
CoRR, 2020

Real-Time Detection of Glomeruli in Renal Pathology.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Image Quilting for Histological Image Synthesis.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Scalable HEVC for Histological Whole-Slide Image Compression.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019
Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students.
IEEE Trans. Medical Imaging, 2019

Combined Learning for Similar Tasks with Domain-Switching Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Strategies for Training Stain Invariant CNNS.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Role of Task Complexity and Training in Crowdsourced Image Annotation.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017
Context-Based Normalization of Histological Stains Using Deep Convolutional Features.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Detection of glomeruli in renal pathology by mutual comparison of multiple staining modalities.
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017

Analyzing Immunohistochemically Stained Whole-Slide Images of Ovarian Carcinoma.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016
Detection of lobular structures in normal breast tissue.
Comput. Biol. Medicine, 2016

Multi-class single-label classification of histopathological whole-slide images.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Synthesizing whole slide images.
Proceedings of the 9th International Symposium on Image and Signal Processing and Analysis, 2015

Automated Whole Slide Analysis of Differently Stained and Co-Registered Tissue Sections.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

Foreground Extraction for Histopathological Whole Slide Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014
Efficient Region-based Classification for Whole Slide Images.
Proceedings of the Computer Vision, Imaging and Computer Graphics - Theory and Applications, 2014

Fast Segmentation for Texture-based Cartography of whole Slide Images.
Proceedings of the VISAPP 2014, 2014

2013
Stain unmixing in brightfield multiplexed immunohistochemistry.
Proceedings of the IEEE International Conference on Image Processing, 2013


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