| Artificial intelligence and machine learning for medical imaging: A technology review A Barragán-Montero, U Javaid, G Valdés, D Nguyen, P Desbordes, ... Physica Medica 83, 242-256, 2021 | 354 | 2021 |
| Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance L Vandewinckele, M Claessens, A Dinkla, C Brouwer, W Crijns, ... Radiotherapy and Oncology 153, 55-66, 2020 | 290 | 2020 |
| Machine learning applications in radiation oncology: Current use and needs to support clinical implementation CL Brouwer, AM Dinkla, L Vandewinckele, W Crijns, M Claessens, ... Physics and imaging in radiation oncology 16, 144-148, 2020 | 71 | 2020 |
| Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency A Barragán-Montero, A Bibal, MH Dastarac, C Draguet, G Valdes, ... Physics in Medicine & Biology 67 (11), 11TR01, 2022 | 65 | 2022 |
| Treatment plan prediction for lung IMRT using deep learning based fluence map generation L Vandewinckele, S Willems, M Lambrecht, P Berkovic, F Maes, W Crijns Physica Medica 99, 44-54, 2022 | 21 | 2022 |
| Clinical evaluation of a deep learning model for segmentation of target volumes in breast cancer radiotherapy P Buelens, S Willems, L Vandewinckele, W Crijns, F Maes, CG Weltens Radiotherapy and Oncology 171, 84-90, 2022 | 16 | 2022 |
| Segmentation of head-and-neck organs-at-risk in longitudinal CT scans combining deformable registrations and convolutional neural networks L Vandewinckele, S Willems, D Robben, J Van Der Veen, W Crijns, ... Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2020 | 16 | 2020 |
| Deep learning based MLC aperture and monitor unit prediction as a warm start for breast VMAT optimisation L Vandewinckele, T Reynders, C Weltens, F Maes, W Crijns Physics in Medicine & Biology 68 (22), 225013, 2023 | 2 | 2023 |
| Pro-active risk analysis of an in-house developed deep learning based autoplanning tool for breast Volumetric Modulated Arc Therapy L Vandewinckele, C Benazzouz, L Delombaerde, L Pape, T Reynders, ... Physics and Imaging in Radiation Oncology 32, 100677, 2024 | 1 | 2024 |
| Clinical Evaluation of a Deep Learning Model for Segmentation of Nodal Clinical Target Volumes in Breast Cancer Radiotherapy P Buelens, S Willems, L Vandewinckele, W Crijns, F Maes, CG Weltens International Journal of Radiation Oncology, Biology, Physics 108 (3), S101-S102, 2020 | 1 | 2020 |
| Segmentation of head and neck organs-at-risk in longitudinal ct scans combining deformable registrations and convolutional neural networks L Vandewinckele, D Robben, W Crijns, F Maes Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 1 | 2018 |
| Longitudinal Information Improves the Fluence Predictions for Adaptive Radiotherapy L Vandewinckele, D Callens, K Aerts, P Berkovic, M Lambrecht, F Maes, ... AAPM 66th Annual Meeting & Exhibition, 2024 | | 2024 |
| Direct prediction of radiotherapy treatment plans using deep learning L Vandewinckele | | 2024 |
| 3296: Auto-segmentation QA L Vandewinckele Radiotherapy and Oncology 194, S13-S14, 2024 | | 2024 |
| Are offline ART decisions for NSCLC impacted by the type of dose calculation algorithm? D Callens, K Aerts, P Berkovic, L Vandewinckele, M Lambrecht, W Crijns Technical Innovations & Patient Support in Radiation Oncology 29, 100236, 2024 | | 2024 |
| Aperture and Monitor Unit Prediction Using Deep Learning As a Warm Start for Breast VMAT Optimization L Vandewinckele, T Reynders, C Weltens, F Maes, W Crijns AAPM 65th Annual Meeting & Exhibition, 2023 | | 2023 |
| Empirical Characterization of the Dose Uncertainty Caused By the Elapsed Time between Calibration, Usage and Scanning of EBT3 Films M Caprioli, R De Roover, L Delombaerde, W Crijns, L Vandewinckele AAPM 65th Annual Meeting & Exhibition, 2023 | | 2023 |
| Deep learning-based IMRT treatment planning on synthetic-CT for ART in NSCLC-patients D Callens, L Vandewinckele, P Berkovic, F Maes, M Lambrecht, W Crijns Radiotherapy and Oncology 182, S1333-S1334, 2023 | | 2023 |
| Aperture and Control Point Weight Prediction for Breast VMAT Using Deep Learning L Vandewinckele, T Reynders, S Petillion, C Weltens, F Maes, W Crijns Medical Physics 49 (6), E164-E165, 2022 | | 2022 |
| Fluence prediction for lung IMRT using a convolutional neural network: independent model against gantry and collimator angles L Vandewinckele, S Willems, M Lambrecht, F Maes, W Crijns 3rd European congress of medical physics-ECMP 2020, Date: 2021/06/16-2021/06 …, 2021 | | 2021 |
