Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT X Tang, E Jafargholi Rangraz, W Coudyzer, J Bertels, D Robben, ... European journal of nuclear medicine and molecular imaging 47, 2742-2752, 2020 | 62 | 2020 |
Multi-modal image analysis for semi-automatic segmentation of the total liver and liver arterial perfusion territories for radioembolization E Jafargholi Rangraz, W Coudyzer, G Maleux, K Baete, CM Deroose, ... EJNMMI research 9, 1-21, 2019 | 28 | 2019 |
Quantitative comparison of pre-treatment predictive and post-treatment measured dosimetry for selective internal radiation therapy using cone-beam CT for tumor and liver … E Jafargholi Rangraz, X Tang, C Van Laeken, G Maleux, J Dekervel, ... EJNMMI research 10, 1-20, 2020 | 11 | 2020 |
Segmentation-guided multi-modal registration of liver images for dose estimation in SIRT X Tang, E Jafargholi Rangraz, R Heeren, W Coudyzer, G Maleux, K Baete, ... EJNMMI physics 9 (1), 3, 2022 | 5 | 2022 |
Hybrid Imaging Reveals Improved Absorbed Dose from Selective Internal Radiation Treatment by Using an Anti-Reflux Catheter EJ Rangraz, X Tang, G Maleux, J Dekervel, E Van Cutsem, C Verslype, ... | | 2020 |
Multi-modal image analysis for selective internal radiation therapy dosimetry E Jafargholi Rangraz | | 2020 |
Preliminary Results of Whole Liver Segmentation with Deep Learning for SIRT X Tang, EJ Rangraz, W Coudyzer, J Bertels, D Robben, G Schramm, ... EANM'19, 2019 | | 2019 |
Multi-modal image analysis for optimized treatment safety and effectiveness of radioembolization of liver tumors EJ Rangraz, K Baete, M Koole, G Maleux, C Deroose, J Nuyts EANM'17, 2017 | | 2017 |