| Relational modeling for robust and efficient pulmonary lobe segmentation in CT scans W Xie, C Jacobs, JP Charbonnier, B Van Ginneken IEEE transactions on medical imaging 39 (8), 2664-2675, 2020 | 111 | 2020 |
| Automated assessment of COVID-19 reporting and data system and chest CT severity scores in patients suspected of having COVID-19 using artificial intelligence N Lessmann, CI Sánchez, L Beenen, LH Boulogne, M Brink, E Calli, ... Radiology 298 (1), E18-E28, 2021 | 98 | 2021 |
| Automated assessment of CO-RADS and chest CT severity scores in patients with suspected COVID-19 using artificial intelligence N Lessmann, CI Sánchez, L Beenen, LH Boulogne, M Brink, E Calli, ... Radiology, 2020 | 69 | 2020 |
| Incremental learning with support vector data description W Xie, S Uhlmann, S Kiranyaz, M Gabbouj 2014 22nd International Conference on Pattern Recognition, 3904-3909, 2014 | 9 | 2014 |
| Structure and position-aware graph neural network for airway labeling W Xie, C Jacobs, JP Charbonnier, B van Ginneken arXiv preprint arXiv:2201.04532, 2022 | 6 | 2022 |
| Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients W Xie, C Jacobs, JP Charbonnier, B van Ginneken Medical Image Analysis 86, 102771, 2023 | 4 | 2023 |
| Balance learning to rank in big data G Cao, I Ahmad, H Zhang, W Xie, M Gabbouj 2014 22nd European Signal Processing Conference (EUSIPCO), 1422-1426, 2014 | 4 | 2014 |
| SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images W Xie, N Willems, S Patil, Y Li, M Kumar Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 3 | 2024 |
| 2.75 D: Boosting learning by representing 3D Medical imaging to 2D features for small data X Wang, R Su, W Xie, W Wang, Y Xu, R Mann, J Han, T Tan Biomedical Signal Processing and Control 84, 104858, 2023 | 3 | 2023 |
| Contextual two-stage u-nets for robust pulmonary lobe segmentation in ct scans of covid-19 and copd patients W Xie, C Jacobs, J Charbonnier, G Bv | 3 | 2020 |
| 2.75 D: Boosting learning efficiency and capability by representing 3d features in 2d R Su, W Xie, T Tan arXiv preprint arXiv:2002.04251, 2020 | 3 | 2020 |
| 2.75 D convolutional neural network for pulmonary nodule classification in chest CT R Su, W Xie, T Tan arXiv, 2020 | 2 | 2020 |
| Deep convolution neural networks for pulmonary nodule detection in ct imaging G Cheng, W Xie, H Yang, H Ji, L He, H Xia, Y Zhou Accessed: Mar, 2019 | 2 | 2019 |
| Emphysema subtyping on thoracic computed tomography scans using deep neural networks W Xie, C Jacobs, JP Charbonnier, DJ Slebos, B van Ginneken Scientific Reports 13 (1), 14147, 2023 | 1 | 2023 |
| Deep Clustering Activation Maps for Emphysema Subtyping W Xie, C Jacobs, B van Ginneken arXiv preprint arXiv:2106.01351, 2021 | | 2021 |
| Incremental Learning with Support Vector Data W Xie, S Uhlmann, S Kiranyaz, M Gabbouj | | |
Colin JacobsRadboudumc, Nijmegen, The NetherlandsVerified email at radboudumc.nl
