Patient-Specific Virtual Spine Straightening and Vertebra Inpainting: An Automatic Framework for Osteoplasty Planning. - Christina Bukas; Bailiang Jian; Luis F. Rodriguez Venegas; Francesca De Benetti; Sebastian Ruehling; Anjany Sekuboyina; Jens Gempt; Jan S. Kirschke; Marie Piraud; Johannes Oberreuter; Nassir Navab; Thomas Wendler 001 (MICCAI (4), 2021)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

Longitudinal Analysis of Disease Progression Using Image and Laboratory Data for Covid-19 Patients. - Francesca De Benetti; Verena Bentele; Egon Burian; Marcus R. Makowski; Nassir Navab; Rickmer Braren; Thomas Wendler 001 (Bildverarbeitung für die Medizin, 2022)

Weakly-Supervised Biomechanically-Constrained CT/MRI Registration of the Spine. - Bailiang Jian; Mohammad Farid Azampour; Francesca De Benetti; Johannes Oberreuter; Christina Bukas; Alexandra S. Gersing; Sarah C. Foreman; Anna-Sophia Dietrich; Jon Rischewski; Jan S. Kirschke; Nassir Navab; Thomas Wendler 001 (MICCAI (6), 2022)

Enhancing Medical Image Segmentation with Anatomy-aware Label Dependency. - Francesca De Benetti; Robin Frasch; Luis F. Rodriguez Venegas; Kuangyu Shi; Nassir Navab; Thomas Wendler 001 (Bildverarbeitung für die Medizin, 2023)

Deep Learning Approaches for Contrast Removal from Contrast-enhanced CT - Streamlining Personalized Internal Dosimetry. - Marcel Ganß; Francesca De Benetti; Julia Brosch-Lenz; Carlos Uribe; Kuangyu Shi; Matthias Eiber; Nassir Navab; Thomas Wendler 001 (Bildverarbeitung für die Medizin, 2023)

Improved Tractography by Means of DL-based DWI Image Enhancement. - Marc Balle Sánchez; Maria Ávila González; Francesca De Benetti; Aldana Lizarraga; Igor Yakushev; Nassir Navab; Thomas Wendler 001 (Bildverarbeitung für die Medizin, 2023)

Automatic Vertebrae Segmentation in MR Volumes - A Comparison of Different Deep Learning-based Approaches. - Orgest Xhelili; Miruna Gafencu; Francesca De Benetti; Nassir Navab; Thomas Wendler 001 (Bildverarbeitung für die Medizin, 2023)

Self-supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. - Francesca De Benetti; Walter Simson; Magdalini Paschali; Hasan Sari; Axel Rominger; Kuangyu Shi; Nassir Navab; Thomas Wendler 001 (MICCAI (1), 2023)

AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection. - Mehdi Astaraki; Francesca De Benetti; Yousef Yeganeh; Iuliana Toma-Dasu; Örjan Smedby; Chunliang Wang; Nassir Navab; Thomas Wendler 001 (CoRR, 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

Preprocessing Evaluation and Benchmark for Multi-structure Segmentation of the Male Pelvis in MRI on the Gold Atlas Dataset. - Francesca De Benetti; Smaranda Bogoi; Nassir Navab; Thomas Wendler 001 (Bildverarbeitung für die Medizin, 2024)

Ultrasound to CT Image-to-image Translation for Personalized Thyroid Screening. - Carl A. Noack; Francesca De Benetti; Kartikay Tehlan; Nassir Navab; Thomas Wendler 001 (Bildverarbeitung für die Medizin, 2024)

CloverNet - Leveraging Planning Annotations for Enhanced Procedural MR Segmentation: An Application to Adaptive Radiation Therapy. - Francesca De Benetti; Yousef Yaganeh; Claus Belka; Stefanie Corradini; Nassir Navab; Christopher Kurz; Guillaume Landry; Shadi Albarqouni; Thomas Wendler 001 (CLIP@MICCAI, 2024)