Erik Ostrowski

Orcid: 0000-0001-6861-3880

According to our database1, Erik Ostrowski authored at least 10 papers between 2023 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs.
CoRR, 2024

A Novel Weakly Supervised Semantic Segmentation Ensemble Framework for Medical Imaging.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
AutoEnsemble: Automated Ensemble Search Framework for Semantic Segmentation Using Image Labels.
CoRR, 2023

Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems.
CoRR, 2023

Image Label based Semantic Segmentation Framework using Object Perimeters.
CoRR, 2023

BoundaryCAM: A Boundary-based Refinement Framework for Weakly Supervised Semantic Segmentation of Medical Images.
CoRR, 2023

FPUS23: An Ultrasound Fetus Phantom Dataset With Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features.
IEEE Access, 2023

ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

ISLE: A Framework for Image Level Semantic Segmentation Ensemble.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters.
Proceedings of the International Joint Conference on Neural Networks, 2023


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