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 (PaCT, 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; et al. (NeuroImage, 2019)

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)

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)

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)

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)

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)

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)

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)

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, 2023)

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 001; Cathal McCague; Eric Kerfoot; Ramona Woitek; Evis Sala; et al. (WBIR, 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)

Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy. - Palak Handa 001; Amirreza Mahbod; Florian Schwarzhans; Ramona Woitek; Nidhi Goel 001; Deepti Chhabra; Shreshtha Jha; Manas Dhir; Deepak Gunjan; Jagadeesh Kakarla; Balasubramanian Raman (CoRR, 2024)

WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation. - Palak Handa 001; Manas Dhir; Amirreza Mahbod; Florian Schwarzhans; Ramona Woitek; Nidhi Goel 001; Deepak Gunjan (CoRR, 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 (Eng. Appl. Artif. Intell., 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. - Muhammad Shahkar Khan; Haider Ali; Laura Villazan Garcia; Noor Badshah; Siegfried Trattnig; Florian Schwarzhans; Ramona Woitek; Olgica Zaric (CoRR, 2025)

Improved tissue sodium concentration quantification in breast cancer by reducing partial volume effects: a preliminary study. - Olgica Zaric; Carmen Leser; Vladimir Juras; Alex Farr; Malina Gologan; Stanislas Rapacchi; Laura Villazan Garcia; Christian Singer; Siegfried Trattnig; Christian Licht; Ramona Woitek (CoRR, 2025)

Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification. - Amirreza Mahbod; Rupert Ecker; Ramona Woitek (CoRR, 2025)