Ramona Woitek
Orcid: 0000-0002-9146-9159
According to our database1,
Ramona Woitek authored at least 25 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
CoRR, May, 2026
Vision Transformers for Preoperative CT-Based Prediction of Histopathologic Chemotherapy Response Score in High-Grade Serous Ovarian Carcinoma.
CoRR, April, 2026
Effect of Patch Size on Fine-Tuning Vision Transformers in Two-Dimensional and Three-Dimensional Medical Image Classification.
CoRR, February, 2026
NucFuseRank: Dataset Fusion and Performance Ranking for Nuclei Instance Segmentation.
CoRR, January, 2026
Developing Predictive and Robust Radiomics Models for Chemotherapy Response in High-Grade Serous Ovarian Carcinoma.
CoRR, January, 2026
ACS-SegNet: An Attention-Based CNN-Segformer Segmentation Network for Tissue Segmentation in Histopathology.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
2025
Multi-task deep learning for automatic image segmentation and treatment response assessment in metastatic ovarian cancer.
Int. J. Comput. Assist. Radiol. Surg., September, 2025
Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification.
CoRR, May, 2025
Improved tissue sodium concentration quantification in breast cancer by reducing partial volume effects: a preliminary study.
CoRR, March, 2025
Variational U-Net with Local Alignment for Joint Tumor Extraction and Registration (VALOR-Net) of Breast MRI Data Acquired at Two Different Field Strengths.
CoRR, January, 2025
Evaluating pre-trained convolutional neural networks and foundation models as feature extractors for content-based medical image retrieval.
Eng. Appl. Artif. Intell., 2025
2024
WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation.
CoRR, 2024
Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy.
CoRR, 2024
Breast Histopathology Image Retrieval by Attention-based Adversarially Regularized Variational Graph Autoencoder with Contrastive Learning-Based Feature Extraction.
CoRR, 2024
A Self-supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer.
Proceedings of the Biomedical Image Registration - 11th International Workshop, 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