| Joint segmentation of retinal layers and focal lesions in 3-D OCT data of topologically disrupted retinas J Novosel, KA Vermeer, JH De Jong, Z Wang, LJ Van Vliet IEEE transactions on medical imaging 36 (6), 1276-1286, 2017 | 51 | 2017 |
| Locally-adaptive loosely-coupled level sets for retinal layer and fluid segmentation in subjects with central serous retinopathy J Novosel, Z Wang, H De Jong, M Van Velthoven, KA Vermeer, ... 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 702-705, 2016 | 49 | 2016 |
| Are age and gender suitable matching criteria in organ dose reconstruction using surrogate childhood cancer patients’ CT scans? Z Wang, IWEM van Dijk, J Wiersma, CM Ronckers, F Oldenburger, ... Medical physics 45 (6), 2628-2638, 2018 | 11 | 2018 |
| Machine learning for the prediction of pseudorealistic pediatric abdominal phantoms for radiation dose reconstruction M Virgolin, Z Wang, T Alderliesten, PAN Bosman Journal of Medical Imaging 7 (4), 046501-046501, 2020 | 8 | 2020 |
| How do patient characteristics and anatomical features correlate to accuracy of organ dose reconstruction for Wilms’ tumor radiation treatment plans when using a surrogate … Z Wang, BV Balgobind, M Virgolin, IWEM Van Dijk, J Wiersma, ... Journal of Radiological Protection 39 (2), 598, 2019 | 7 | 2019 |
| Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy M Virgolin, Z Wang, BV Balgobind, IWEM van Dijk, J Wiersma, PS Kroon, ... Physics in Medicine & Biology 65 (24), 245021, 2020 | 4 | 2020 |
| Loosely coupled level sets for retinal layers and drusen segmentation in subjects with dry age-related macular degeneration J Novosel, Z Wang, H de Jong, KA Vermeer, LJ van Vliet Medical Imaging 2016: Image Processing 9784, 740-746, 2016 | 4 | 2016 |
| Validation and comparison of radiograph-based organ dose reconstruction approaches for Wilms tumor radiation treatment plans Z Wang, M Virgolin, BV Balgobind, IWEM van Dijk, SA Smith, RM Howell, ... Advances in Radiation Oncology 7 (6), 101015, 2022 | 3 | 2022 |
| Machine learning for automatic construction of pediatric abdominal phantoms for radiation dose reconstruction M Virgolin, Z Wang, T Alderliesten, PAN Bosman Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and …, 2020 | 3 | 2020 |
| Automatic generation of three-dimensional dose reconstruction data for two-dimensional radiotherapy plans for historically treated patients Z Wang, M Virgolin, PAN Bosman, KF Crama, BV Balgobind, A Bel, ... Journal of Medical Imaging 7 (1), 015001-015001, 2020 | 2 | 2020 |
| Automatic radiotherapy plan emulation for 3D dose reconstruction to enable big data analysis for historically treated patients Z Wang, M Virgolin, PAN Bosman, BV Balgobind, A Bel, T Alderliesten Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and …, 2019 | 2 | 2019 |
| Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms M Virgolin, Z Wang, T Alderliesten, PAN Bosman arXiv preprint arXiv:1909.03723, 2019 | 1 | 2019 |
| Relating anatomical variations and patient features with dose-reconstruction accuracy of a 3D dose-reconstruction approach using CT scans of recently-treated children Z Wang, M Virgolin, I IWEM Dijk, J Wiersma, C Ronckers, F Oldenburger, ... | | 2017 |
| Segmentation of retinal layers and lesions by loosely coupled level sets in eyes affected by CSR and AMD J Novosel, LJ van Vliet, Z Wang, JH de Jong, KA Vermeer Investigative Ophthalmology & Visual Science 57 (12), 5946-5946, 2016 | | 2016 |
| Assessing the Variation in 3D Dose Reconstruction based on CT Scans of Pediatric Cancer Patients Matched on Gender and Age Z Wang, IWEM van Dijk, J Wiersma, CM Ronckers, F Oldenburger, ... | | |
