Ramona Woitek
Orcid: 0000-0002-9146-9159
According to our database1,
Ramona Woitek
authored at least 12 papers
between 2019 and 2024.
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Bibliography
2024
A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer.
CoRR, 2024
Breast Histopathology Image Retrieval by Attention-based Adversarially Regularized Variational Graph Autoencoder with Contrastive Learning-Based Feature Extraction.
CoRR, 2024
2023
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation.
Comput. Biol. Medicine, September, 2023
Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization.
CoRR, 2023
NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images.
CoRR, 2023
2022
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation.
CoRR, 2022
Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering.
Biomed. Signal Process. Control., 2022
2021
A CUDA-powered method for the feature extraction and unsupervised analysis of medical images.
J. Supercomput., 2021
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning.
Comput. Methods Programs Biomed., 2021
2020
Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering.
Comput. Biol. Medicine, 2020
2019
Quantifying normal human brain metabolism using hyperpolarized [1-<sup>13</sup>C]pyruvate and magnetic resonance imaging.
NeuroImage, 2019
HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels.
Proceedings of the Parallel Computing Technologies, 2019