| Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases M Taghavi, S Trebeschi, R Simões, DB Meek, RCJ Beckers, ... Abdominal Radiology 46, 249-256, 2021 | 69 | 2021 |
| Automatic segmentation of cerebral white matter hyperintensities using only 3D FLAIR images R Simões, C Mönninghoff, M Dlugaj, C Weimar, I Wanke, ... Magnetic resonance imaging 31 (7), 1182-1189, 2013 | 64 | 2013 |
| Biochemical recurrence prediction after radiotherapy for prostate cancer with T2w magnetic resonance imaging radiomic features CD Fernandes, CV Dinh, I Walraven, SW Heijmink, M Smolic, ... Physics and imaging in radiation oncology 7, 9-15, 2018 | 45 | 2018 |
| Oropharyngeal primary tumor segmentation for radiotherapy planning on magnetic resonance imaging using deep learning RR Outeiral, P Bos, A Al-Mamgani, B Jasperse, R Simões, ... Physics and imaging in radiation oncology 19, 39-44, 2021 | 44 | 2021 |
| CT-based radiomics analysis before thermal ablation to predict local tumor progression for colorectal liver metastases M Taghavi, F Staal, F Gomez Munoz, F Imani, DB Meek, R Simões, ... Cardiovascular and interventional radiology 44, 913-920, 2021 | 36 | 2021 |
| Classification and localization of early-stage Alzheimer’s disease in magnetic resonance images using a patch-based classifier ensemble R Simoes, AM van Cappellen van Walsum, CH Slump Neuroradiology 56, 709-721, 2014 | 26 | 2014 |
| Geometrical and dosimetric evaluation of breast target volume auto-contouring R Simões, G Wortel, TG Wiersma, TM Janssen, UA van der Heide, ... Physics and Imaging in Radiation Oncology 12, 38-43, 2019 | 20 | 2019 |
| Using local texture maps of brain MR images to detect Mild Cognitive Impairment R Simoes, C Slump, AMC van Walsum Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 14 | 2012 |
| CT radiomics models are unable to predict new liver metastasis after successful thermal ablation of colorectal liver metastases M Taghavi, FCR Staal, R Simões, EK Hong, DMJ Lambregts, ... Acta Radiologica 64 (1), 5-12, 2023 | 13 | 2023 |
| Deep learning for segmentation of the cervical cancer gross tumor volume on magnetic resonance imaging for brachytherapy R Rodríguez Outeiral, PJ González, EE Schaake, UA van der Heide, ... Radiation Oncology 18 (1), 91, 2023 | 11 | 2023 |
| Strategies for tackling the class imbalance problem of oropharyngeal primary tumor segmentation on magnetic resonance imaging RR Outeiral, P Bos, HJ van der Hulst, A Al-Mamgani, B Jasperse, ... Physics and Imaging in Radiation Oncology 23, 144-149, 2022 | 11 | 2022 |
| van Cappellen van Walsum, A.-M.; Slump, CH Classification and localization of early-stage Alzheimer’s disease in magnetic resonance images using a patch-based classifier ensemble R Simoes Neuroradiology 56 (9), 709-721, 2014 | 11 | 2014 |
| Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases. Abdom Radiol (NY) M Taghavi, S Trebeschi, R Simões, DB Meek, RCJ Beckers, ... | 10 | 2020 |
| Evaluation of delineating the target volume by radiation therapists in breast cancer patients VWJ van Pelt, S Gerrets, R Simões, PHM Elkhuizen, TM Janssen Technical Innovations & Patient Support in Radiation Oncology 17, 78-81, 2021 | 9 | 2021 |
| Change detection and classification in brain MR images using change vector analysis R Simões, C Slump 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 9 | 2011 |
| A network score-based metric to optimize the quality assurance of automatic radiotherapy target segmentations RR Outeiral, NF Silvério, PJ González, EE Schaake, T Janssen, ... Physics and Imaging in Radiation Oncology 28, 100500, 2023 | 8 | 2023 |
| Multiparametric MRI tumor probability model for the detection of locally recurrent prostate cancer after radiation therapy: pathologic validation and comparison with manual … CD Fernandes, R Simões, G Ghobadi, SW Heijmink, IG Schoots, ... International Journal of Radiation Oncology* Biology* Physics 105 (1), 140-148, 2019 | 7 | 2019 |
| The impact of image acquisition time on registration, delineation and image quality for magnetic resonance guided radiotherapy of prostate cancer patients ME Nowee, VWJ van Pelt, I Walraven, R Simões, CP Liskamp, ... Physics and Imaging in Radiation Oncology 19, 85-89, 2021 | 6 | 2021 |
| An anomaly detector as a clinical decision support system for parotid gland delineations P Papaconstadopoulos, P González, C Carbaat, R Simões, H Beemster, ... Physics in Medicine & Biology 66 (10), 105017, 2021 | 5 | 2021 |
| Evaluation of Deep Learning Clinical Target Volumes Auto-Contouring for Magnetic Resonance Imaging-Guided Online Adaptive Treatment of Rectal Cancer NF Silvério, W van den Wollenberg, A Betgen, L Wiersema, C Marijnen, ... Advances in Radiation Oncology 9 (6), 101483, 2024 | 3 | 2024 |
