| Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ... IEEE Transactions on Medical Imaging 42 (3), 697-712, 2022 | 124 | 2022 |
| Patient-specific virtual spine straightening and vertebra inpainting: an automatic framework for osteoplasty planning C Bukas, B Jian, LF Rodríguez Venegas, F De Benetti, S Rühling, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 7 | 2021 |
| AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection M Astaraki, F De Benetti, Y Yeganeh, I Toma-Dasu, Ö Smedby, C Wang, ... arXiv preprint arXiv:2305.12358, 2023 | 4 | 2023 |
| Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine B Jian, MF Azampour, F De Benetti, J Oberreuter, C Bukas, AS Gersing, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 4 | 2022 |
| Self-supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET F De Benetti, W Simson, M Paschali, H Sari, A Rominger, K Shi, N Navab, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Artificial Intelligence-powered automatic volume calculation in medical images–available tools, performance and challenges for nuclear medicine T Wendler, MC Kreissl, B Schemmer, JMM Rogasch, F De Benetti Nuklearmedizin-NuclearMedicine 62 (06), 343-353, 2023 | 1 | 2023 |
| Tumor detection in PET/CT using multimodal image inpainting M Astaraki, F De Benetti, I Toma-Dasu, Ö Smedby, C Wang, N Navab, ... Nuklearmedizin-NuclearMedicine 61 (02), V24, 2022 | 1 | 2022 |
| Self-supervised Neural Network for Tracer Kinetic Modeling in Dynamic [18F]-FDG-PET F De Benetti, N Saeed, N Navab, K Shi, T Wendler Nuklearmedizin-NuclearMedicine 63 (02), P72, 2024 | | 2024 |
| Improved Thyroid Uptake Estimation using 3D Ultrasound and 2D Scintigraphy K Träuble, F De Benetti, C Eilers, M Sommersperger, W Weber, T Wendler Nuklearmedizin-NuclearMedicine 63 (02), P12, 2024 | | 2024 |
| Ultrasound to CT Image-to-image Translation for Personalized Thyroid Screening CA Noack, F De Benetti, K Tehlan, N Navab, T Wendler BVM Workshop, 196-201, 2024 | | 2024 |
| Preprocessing Evaluation and Benchmark for Multi-structure Segmentation of the Male Pelvis in MRI on the Gold Atlas Dataset F De Benetti, S Bogoi, N Navab, T Wendler BVM Workshop, 273-278, 2024 | | 2024 |
| DosePatch: Physics-Inspired cropping layout for Patch-based Monte Carlo simulations to provide fast and accurate internal dosimetry F De Benetti, J Brosch-Lenz, JMG González, C Uribe, M Eiber, N Navab, ... | | 2023 |
| Enhancing Medical Image Segmentation with Anatomy-aware Label Dependency F De Benetti, R Frasch, LFR Venegas, K Shi, N Navab, T Wendler BVM Workshop, 38-44, 2023 | | 2023 |
| Deep Learning Approaches for Contrast Removal from Contrast-enhanced CT: Streamlining Personalized Internal Dosimetry M Ganß, F De Benetti, J Brosch-Lenz, C Uribe, K Shi, M Eiber, N Navab, ... BVM Workshop, 70-75, 2023 | | 2023 |
| Improved Tractography by Means of DL-based DWI Image Enhancement MB Sánchez, MÁ González, F De Benetti, A Lizarraga, I Yakushev, ... BVM Workshop, 64-69, 2023 | | 2023 |
| Accurate and fast internal dosimetry using patch-based MC simulations for Y-90-SIRT F De Benetti, J Brosch-Lenz, E Hasa, M Eiber, C Uribe, N Navab, ... Nuklearmedizin-NuclearMedicine 62 (02), L4, 2023 | | 2023 |
| und Herausforderungen für die Nuklearmedizin T Wendler, MC Kreissl, B Schemmer, JMM Rogasch, F De Benetti Nuklearmedizin 62, 343-353, 2023 | | 2023 |
| Towards fast personalized Deep Neural Network-based Dose Distribution Calculations for Theranostics-Evaluation of Network Architectures in the example of Lu-177-PSMA prostate … P Engstler, F De Benetti, E Hasa, M Eiber, K Shi, N Navab, T Wendler Journal of Nuclear Medicine 63 (supplement 2), 3247-3247, 2022 | | 2022 |
| Longitudinal Analysis of Disease Progression Using Image and Laboratory Data for Covid-19 Patients F De Benetti, V Bentele, E Burian, M Makowski, N Navab, R Braren, ... Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | | 2022 |
| Evaluating mosaicking strategies for patch-based Monte Carlo simulations for internal dosimetry F De Benetti, J Brosch-Lenz, E Hasa, M Eiber, N Navab, T Wendler International Conference on Monte Carlo Techniques for Medical Applications, 2022 | | 2022 |
