Deep learning acceleration of total lagrangian explicit dynamics for soft tissue mechanics F Meister, T Passerini, V Mihalef, A Tuysuzoglu, A Maier, T Mansi Computer Methods in Applied Mechanics and Engineering 358, 112628, 2020 | 28 | 2020 |
Towards fast biomechanical modeling of soft tissue using neural networks F Meister, T Passerini, V Mihalef, A Tuysuzoglu, A Maier, T Mansi arXiv preprint arXiv:1812.06186, 2018 | 9 | 2018 |
Non-invasive assessment of patient-specific aortic haemodynamics from four-dimensional flow MRI data L Itu, D Neumann, V Mihalef, F Meister, M Kramer, M Gulsun, M Kelm, ... Interface focus 8 (1), 20170006, 2018 | 6 | 2018 |
Graph convolutional regression of cardiac depolarization from sparse endocardial maps F Meister, T Passerini, C Audigier, È Lluch, V Mihalef, H Ashikaga, ... Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 4 | 2021 |
Extrapolation of ventricular activation times from sparse electroanatomical data using graph convolutional neural networks F Meister, T Passerini, C Audigier, È Lluch, V Mihalef, H Ashikaga, ... Frontiers in Physiology, 1724, 2021 | 1 | 2021 |
Additional clinical applications F Meister, H Houle, C Nita, A Puiu, LM Itu, S Rapaka Artificial Intelligence for Computational Modeling of the Heart, 183-210, 2020 | 1 | 2020 |
Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model F Meister, C Audigier, T Passerini, È Lluch, V Mihalef, A Maier, T Mansi Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022 | | 2022 |
Real-time estimation of local cardiac tissue properties and uncertainties based on imaging and electro-anatomical maps F Meister, T Passerini, T Mansi, EL Alvarez, C Audigier, V Mihalef US Patent App. 17/305,631, 2022 | | 2022 |
Real-time and accurate soft tissue deformation prediction T Mansi, F Meister, T Passerini, V Mihalef US Patent 10,636,142, 2020 | | 2020 |
Data-driven reduction of cardiac models LM Itu, F Meister, P Sharma, T Passerini Artificial Intelligence for Computational Modeling of the Heart, 117-160, 2020 | | 2020 |