| 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 | 284 | 2021 |
| Benefits of deep learning for delineation of organs at risk in head and neck cancer J Van der Veen, S Willems, S Deschuymer, D Robben, W Crijns, F Maes, ... Radiotherapy and Oncology 138, 68-74, 2019 | 115 | 2019 |
| 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 Valdés, ... Physics in Medicine & Biology 67 (11), 11TR01, 2022 | 51 | 2022 |
| Interobserver variability in organ at risk delineation in head and neck cancer J van der Veen, A Gulyban, S Willems, F Maes, S Nuyts Radiation Oncology 16, 1-11, 2021 | 49 | 2021 |
| Deep learning for elective neck delineation: More consistent and time efficient J Van der Veen, S Willems, H Bollen, F Maes, S Nuyts Radiotherapy and Oncology 153, 180-188, 2020 | 31 | 2020 |
| Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients S Tilborghs, I Dirks, L Fidon, S Willems, T Eelbode, J Bertels, B Ilsen, ... arXiv preprint arXiv:2007.15546, 2020 | 27 | 2020 |
| OpenKBP-Opt: an international and reproducible evaluation of 76 knowledge-based planning pipelines A Babier, R Mahmood, B Zhang, VGL Alves, AM Barragán-Montero, ... Physics in Medicine & Biology 67 (18), 185012, 2022 | 22 | 2022 |
| Clinical implementation of DeepVoxNet for auto-delineation of organs at risk in head and neck cancer patients in radiotherapy S Willems, W Crijns, A La Greca Saint-Esteven, J Van Der Veen, ... OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018 | 22 | 2018 |
| 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 | 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 |
| Feasibility of ct-only 3d dose prediction for vmat prostate plans using deep learning S Willems, W Crijns, E Sterpin, K Haustermans, F Maes Artificial Intelligence in Radiation Therapy: First International Workshop …, 2019 | 12 | 2019 |
| 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 | 11 | 2022 |
| Benefits of automated gross tumor volume segmentation in head and neck cancer using multi-modality information H Bollen, S Willems, M Wegge, F Maes, S Nuyts Radiotherapy and Oncology 182, 109574, 2023 | 10 | 2023 |
| Explainable-by-design semi-supervised representation learning for covid-19 diagnosis from ct imaging AD Berenguer, H Sahli, B Joukovsky, M Kvasnytsia, I Dirks, ... arXiv preprint arXiv:2011.11719, 2020 | 10 | 2020 |
| DeepVoxNet: voxel-wise prediction for 3D images D Robben, J Bertels, S Willems, D Vandermeulen, F Maes, P Suetens Medical Image Computing (ESAT/PSI), KU Leuven, Belgium, 2018 | 8 | 2018 |
| Port-site metastasis after explorative laparoscopy for an incidental appendiceal mucinous cystadenocarcinoma detected with FDG PET/CT G Ceulemans, M Keyaerts, S Willems, C Simoens, B Ilsen, H Everaert Ubiquity Press 96 (1), 2013 | 4 | 2013 |
| Convolutional neural networks for dose prediction in radiotherapy: from segmentation to regression S Willems, J Bertels, W Crijns, E Sterpin, K Haustermans, F Maes KU Leuven-ESAT/PSI, 2022 | 1 | 2022 |
| Learning from Mistakes: An Error-Driven Mechanism to Improve Segmentation Performance Based on Expert Feedback S Willems, H Bollen, J Van Der Veen, E Sterpin, W Crijns, S Nuyts, ... Clinical Image-Based Procedures, Distributed and Collaborative Learning …, 2021 | 1 | 2021 |
| 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 |
| PO-0723 Benefits of deep learning for delineation of organs at risk in head and neck cancer J Van der Veen, S Willems, D Robben, W Crijns, F Maes, S Nuyts Radiotherapy and Oncology 133, S371, 2019 | 1 | 2019 |
