Florian Jug

CoRR, 2024

2023

Better research software tools to elevate the rate of scientific discovery or why we need to invest in research software engineering.

[BibT_eX]

[DOI]

Joran Deschamps

Damian Dalle Nogare

Frontiers Bioinform., May, 2023

DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data Degradations and OOD Model Predictions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

μSplit: image decomposition for fluorescence microscopy.

[BibT_eX]

[DOI]

Ashesh

Francesco Silvio Pasqualini

Moises Di Sante

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Editorial: Methods and Tools for Bioimage Analysis.

[BibT_eX]

[DOI]

Florian Levet

Virginie Uhlmann

Frontiers Comput. Sci., 2022

LABKIT: Labeling and Segmentation Toolkit for Big Image Data.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2022

μSplit: efficient image decomposition for microscopy data.

[BibT_eX]

[DOI]

Ashesh

Francesco Silvio Pasqualini

Moises Di Sante

CoRR, 2022

Interpretable Unsupervised Diversity Denoising and Artefact Removal.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Fourier Image Transformer.

[BibT_eX]

[DOI]

Tim-Oliver Buchholz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods.

[BibT_eX]

[DOI]

CoRR, 2021

Embedding-based Instance Segmentation of Microscopy Images.

[BibT_eX]

[DOI]

CoRR, 2021

Embedding-based Instance Segmentation in Microscopy.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders.

[BibT_eX]

[DOI]

Mangal Prakash

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Probabilistic Noise2Void: Unsupervised Content-Aware Denoising.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2020

DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders.

[BibT_eX]

[DOI]

Mangal Prakash

CoRR, 2020

DenoiSeg: Joint Denoising and Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Fully Unsupervised Probabilistic Noise2Void.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Leveraging Self-supervised Denoising for Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Registration of Multi-modal Volumetric Images by Establishing Cell Correspondence.

[BibT_eX]

[DOI]

Mette Handberg-Thorsager

Yu-Wen Hsieh

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Improving Blind Spot Denoising for Microscopy.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

DenoiSeg: Joint Denoising and Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

A Primal-Dual Solver for Large-Scale Tracking-by-Assignment.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Probabilistic Noise2Void: Unsupervised Content-Aware Denoising.

[BibT_eX]

[DOI]

Tomás Vicar

CoRR, 2019

Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Noise2Void - Learning Denoising From Single Noisy Images.

[BibT_eX]

[DOI]

Tim-Oliver Buchholz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Automatic Fusion of Segmentation and Tracking Labels.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Crowd sourcing image segmentation with iaSTAPLE.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Efficient Algorithms for Moral Lineage Tracing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Seamless HPC Integration of Data-Intensive KNIME Workflows via UNICORE.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016

Moral Lineage Tracing.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014

Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine.

[BibT_eX]

[DOI]

Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

2012

On Competition and Learning in Cortical Structures.

[BibT_eX]

[DOI]

PhD thesis, 2012

Recurrent competitive networks can learn locally excitatory topologies.

[BibT_eX]

[DOI]

Matthew Cook

Angelika Steger

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Interacting maps for fast visual interpretation.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism.

[BibT_eX]

[DOI]

Matthew Cook

Christoph Krautz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

Unsupervised Learning of Relations.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2005

Automated Quality Assurance for UML Models.

[BibT_eX]

[DOI]

Tilman Seifert