An interpretable deep learning approach for lesion detection and segmentation on whole-body [18F]FDG PET/CT
Dirks, I, Keyaerts, M, Neyns, B & Vandemeulebroucke, J 2024, An interpretable deep learning approach for lesion detection and segmentation on whole-body [18F]FDG PET/CT. in Proc. SPIE 12926, Medical Imaging 2024: Image Processing. vol. 12926, 1292617, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12926, SPIE, SPIE Medical Imaging 2024, 18/02/24. https://doi.org/10.1117/12.3005815
Computer-aided diagnosis and decision support using medical image analysis: Contributions to malignant melanoma and COVID-19
Dirks, I 2024, 'Computer-aided diagnosis and decision support using medical image analysis: Contributions to malignant melanoma and COVID-19', Vrije Universiteit Brussel, Brussels.
Automated threshold selection on whole-body 18F-FDG PET/CT for assessing tumor metabolic response
Dirks, I, Keyaerts, M, Neyns, B & Vandemeulebroucke, J 2020, Automated threshold selection on whole-body 18F-FDG PET/CT for assessing tumor metabolic response. in I Isgum & BA Landman (eds), Proceedings SPIE Medical Imaging 2020: Image Processing. vol. 11313, 113131R, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 11313, SPIE Medical Imaging 2020, 15/02/20. https://doi.org/10.1117/12.2549796