| MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation M Ranzini, L Fidon, S Ourselin, M Modat, T Vercauteren arXiv preprint arXiv:2103.13314, 2021 | 20 | 2021 |
| Deep boosted regression for MR to CT synthesis K Kläser, P Markiewicz, M Ranzini, W Li, M Modat, BF Hutton, D Atkinson, ... Simulation and Synthesis in Medical Imaging: Third International Workshop …, 2018 | 19 | 2018 |
| Individualized prognostic prediction of the long-term functional trajectory in pediatric acquired brain injury E Molteni, MBM Ranzini, E Beretta, M Modat, S Strazzer Journal of Personalized Medicine 11 (7), 675, 2021 | 11 | 2021 |
| A multi-channel uncertainty-aware multi-resolution network for MR to CT synthesis K Klaser, P Borges, R Shaw, M Ranzini, M Modat, D Atkinson, ... Applied sciences 11 (4), 1667, 2021 | 11 | 2021 |
| Combining multimodal information for metal artefact reduction: an unsupervised deep learning framework MBM Ranzini, I Groothuis, K Kläser, MJ Cardoso, J Henckel, S Ourselin, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 600-604, 2020 | 10 | 2020 |
| 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) MB Ranzini, I Groothuis, K Kläser, MJ Cardoso, J Henckel, S Ourselin | 6 | 2020 |
| Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation MBM Ranzini, J Henckel, M Ebner, MJ Cardoso, A Isaac, T Vercauteren, ... Computer Methods and Programs in Biomedicine 183, 105062, 2020 | 6 | 2020 |
| Landmark-based evaluation of a block-matching registration framework on the RESECT pre-and intra-operative brain image data set D Drobny, M Ranzini, S Ourselin, T Vercauteren, M Modat International Workshop on Large-scale Annotation of Biomedical data and …, 2019 | 5 | 2019 |
| Joint multimodal segmentation of clinical CT and MR from hip arthroplasty patients MBM Ranzini, M Ebner, MJ Cardoso, A Fotiadou, T Vercauteren, ... Computational Methods and Clinical Applications in Musculoskeletal Imaging …, 2018 | 5 | 2018 |
| Uncertainty-aware multi-resolution whole-body MR to CT synthesis K Kläser, P Borges, R Shaw, M Ranzini, M Modat, D Atkinson, ... Simulation and Synthesis in Medical Imaging: 5th International Workshop …, 2020 | 4 | 2020 |
| Towards automated spine mobility quantification: A locally rigid ct to x-ray registration framework D Drobny, M Ranzini, A Isaac, T Vercauteren, S Ourselin, D Choi, ... International Workshop on Biomedical Image Registration, 67-77, 2020 | 2 | 2020 |
| Automating the multimodal analysis of musculoskeletal imaging in the presence of hip implants MBM Ranzini UCL (University College London), 2020 | | 2020 |
Marc ModatKing's College LondonПодтвержден адрес электронной почты в домене kcl.ac.uk
