Francesca De Benetti

According to our database, Francesca De Benetti authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

Ultrasound to CT Image-to-image Translation for Personalized Thyroid Screening.

Carl A. Noack, Francesca De Benetti, Kartikay Tehlan, Nassir Navab, Thomas Wendler

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

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

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

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, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

IEEE Trans. Medical Imaging, March, 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

CoRR, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Proceedings of the Bildverarbeitung für die Medizin 2023, 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

Proceedings of the Bildverarbeitung für die Medizin 2023, 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

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Enhancing Medical Image Segmentation with Anatomy-aware Label Dependency.

Francesca De Benetti, Robin Frasch, Luis F. Rodriguez Venegas, Kuangyu Shi, Nassir Navab, Thomas Wendler

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

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, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

CoRR, 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021