| 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 | 54 | 2020 |
| 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 |
| Coherent needle detection in ultrasound volumes using 3d conditional random fields FG Zanjani, A Pourtaherian, X Tang, S Zinger, N Mihajlovic, GC Ng, ... Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and …, 2018 | 4 | 2018 |
| 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 | 3 | 2022 |
| Semi-automated image segmentation and registration, facilitating multi-modal image analysis for selective internal radiation therapy (SIRT) X Tang | | 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 |
| Preliminary Results of Whole Liver Segmentation with Deep Learning for SIRT X Tang, EJ Rangraz, W Coudyzer, J Bertels, D Robben, G Schramm, ... European Journal Of Nuclear Medicine And Molecular Imaging 46 (SUPPL 1 …, 2019 | | 2019 |
