Ramona Woitek

According to our database, Ramona Woitek authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval.

Amirreza Mahbod, Nematollah Saeidi, Sepideh Hatamikia, Ramona Woitek

CoRR, 2024

WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation.

Palak Handa, Manas Dhir, Amirreza Mahbod, Florian Schwarzhans, Ramona Woitek, Nidhi Goel, Deepak Gunjan

CoRR, 2024

Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy.

Palak Handa, Amirreza Mahbod, Florian Schwarzhans, Ramona Woitek, Nidhi Goel, Deepti Chhabra, Shreshtha Jha, Manas Dhir, Deepak Gunjan, Jagadeesh Kakarla, Balasubramanian Raman

CoRR, 2024

Breast Histopathology Image Retrieval by Attention-based Adversarially Regularized Variational Graph Autoencoder with Contrastive Learning-Based Feature Extraction.

Nematollah Saeidi, Hossein Karshenas, Bijan Shoushtarian, Sepideh Hatamikia, Ramona Woitek, Amirreza Mahbod

CoRR, 2024

A Self-supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer.

Inês Prata Machado, Anna Reithmeir, Fryderyk Victor Kögl, Leonardo Rundo, Gabriel Funingana, Marika Reinius, Gift Mungmeeprued, Zeyu Gao, Cathal McCague, Eric Kerfoot, Ramona Woitek, Evis Sala, Yangming Ou, James D. Brenton, Julia A. Schnabel, Mireia Crispin

Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

2023

Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation.

Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo

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.

Amirreza Mahbod, Georg Dorffner, Isabella Ellinger, Ramona Woitek, Sepideh Hatamikia

CoRR, 2023

NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images.

Amirreza Mahbod, Christine Polak, Katharina Feldmann, Rumsha Khan, Katharina Gelles, Georg Dorffner, Ramona Woitek, Sepideh Hatamikia, Isabella Ellinger

CoRR, 2023

2022

Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation.

Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo

CoRR, 2022

Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering.

Carmelo Militello, Leonardo Rundo, Mariangela Dimarco, Alessia Orlando, Vincenzo Conti, Ramona Woitek, Ildebrando D'Angelo, Tommaso Vincenzo Bartolotta, Giorgio Russo

Biomed. Signal Process. Control., 2022

2021

A CUDA-powered method for the feature extraction and unsupervised analysis of medical images.

Leonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, Matteo Mistri, Simone Galimberti, Ramona Woitek, Evis Sala, Giancarlo Mauri, Marco S. Nobile

J. Supercomput., 2021

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning.

Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek

Comput. Methods Programs Biomed., 2021

2020

Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering.

Leonardo Rundo, Lucian Beer, Stephan Ursprung, Paula Martin-Gonzalez, Florian Markowetz, James D. Brenton, Mireia Crispin-Ortuzar, Evis Sala, Ramona Woitek

Comput. Biol. Medicine, 2020

2019

Quantifying normal human brain metabolism using hyperpolarized [1-¹³C]pyruvate and magnetic resonance imaging.

James T. Grist, Mary A. McLean, Frank Riemer, Rolf F. Schulte, Surrin S. Deen, Fulvio Zaccagna, Ramona Woitek, Charlie J. Daniels, Joshua D. Kaggie, Tomasz Matys, Ilse Patterson, Rhys Slough, Andrew B. Gill, Anita Chhabra, Rose Eichenberger, Marie-Christine Laurent, Arnaud Comment, Jonathan H. Gillard, Ferdia A. Gallagher

NeuroImage, 2019

HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels.

Leonardo Rundo, Andrea Tangherloni, Simone Galimberti, Paolo Cazzaniga, Ramona Woitek, Evis Sala, Marco S. Nobile, Giancarlo Mauri

Proceedings of the Parallel Computing Technologies, 2019