Anna Kreshuk

Orcid: 0000-0003-1334-6388

According to our database1, Anna Kreshuk authored at least 29 papers between 2009 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Understanding metric-related pitfalls in image analysis validation.
CoRR, 2023

Reinforcement learning for instance segmentation with high-level priors.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
From Shallow to Deep: Exploiting Feature-Based Classifiers for Domain Adaptation in Semantic Segmentation.
Frontiers Comput. Sci., 2022

Metrics reloaded: Pitfalls and recommendations for image analysis validation.
CoRR, 2022

Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Developing open-source software for bioimage analysis: opportunities and challenges.
F1000Research, 2021

Stateless actor-critic for instance segmentation with high-level priors.
CoRR, 2021

2020
The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

2019
QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images From Rodent Brain.
Frontiers Neuroinformatics, 2019

Leveraging Domain Knowledge to Improve Microscopy Image Segmentation With Lifted Multicuts.
Frontiers Comput. Sci., 2019

A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation.
CoRR, 2019

Leveraging Domain Knowledge to improve EM image segmentation with Lifted Multicuts.
CoRR, 2019

The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning.
CoRR, 2019

Synthetic Patches, Real Images: Screening for Centrosome Aberrations in EM Images of Human Cancer Cells.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Domain Adaptive Segmentation In Volume Electron Microscopy Imaging.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Neuron Segmentation With High-Level Biological Priors.
IEEE Trans. Medical Imaging, 2018

The Mutex Watershed: Efficient, Parameter-Free Image Partitioning.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Solving Large Multicut Problems for Connectomics via Domain Decomposition.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2015
ROOT - A C++ Framework for Petabyte Data Storage, Statistical Analysis and Visualization.
CoRR, 2015

Who Is Talking to Whom: Synaptic Partner Detection in Anisotropic Volumes of Insect Brain.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Improving 3D EM data segmentation by joint optimization over boundary evidence and biological priors.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2012
Automated Analysis of Biomedical Data from Low to High Resolution
PhD thesis, 2012

2011
ROOT - A C++ framework for petabyte data storage, statistical analysis and visualization.
Comput. Phys. Commun., 2011

Automated segmentation of synapses in 3D EM data.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2009
ROOT - A C++ framework for petabyte data storage, statistical analysis and visualization.
Comput. Phys. Commun., 2009

Developments in ROOT I/O and trees
CoRR, 2009


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