| Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography PJ Verhelst, A Smolders, T Beznik, J Meewis, A Vandemeulebroucke, ... Journal of Dentistry 114, 103786, 2021 | 73 | 2021 |
| A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study E Shaheen, A Leite, KA Alqahtani, A Smolders, A Van Gerven, H Willems, ... Journal of Dentistry 115, 103865, 2021 | 65 | 2021 |
| Overview of the TCV tokamak experimental programme H Reimerdes, M Agostini, E Alessi, S Alberti, Y Andrebe, H Arnichand, ... Nuclear Fusion 62 (4), 042018, 2022 | 49 | 2022 |
| Convolutional neural network for automatic maxillary sinus segmentation on cone-beam computed tomographic images N Morgan, A Van Gerven, A Smolders, K de Faria Vasconcelos, ... Scientific Reports 12 (1), 7523, 2022 | 40 | 2022 |
| The role of plasma-molecule interactions on power and particle balance during detachment on the TCV tokamak K Verhaegh, B Lipschultz, JR Harrison, BP Duval, A Fil, M Wensing, ... Nuclear Fusion 61 (10), 106014, 2021 | 34 | 2021 |
| Deep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography: A validation study F Preda, N Morgan, A Van Gerven, F Nogueira-Reis, A Smolders, X Wang, ... Journal of Dentistry 124, 104238, 2022 | 33 | 2022 |
| Comparison of high density and nitrogen seeded detachment using SOLPS-ITER simulations of the tokamak á configuration variable A Smolders, M Wensing, S Carli, H De Oliveira, W Dekeyser, BP Duval, ... Plasma Physics and Controlled Fusion 62 (12), 125006, 2020 | 28 | 2020 |
| Automated detection and labelling of teeth and small edentulous regions on cone-beam computed tomography using convolutional neural networks M do Nascimento Gerhardt, RC Fontenele, AF Leite, P Lahoud, ... Journal of Dentistry 122, 104139, 2022 | 25 | 2022 |
| V-band nanosecond-scale pulse reflectometer diagnostic in the TCV tokamak P Molina Cabrera, S Coda, L Porte, A Smolders, TCV Team Review of Scientific Instruments 90 (12), 2019 | 14 | 2019 |
| Deep convolutional neural network-based automated segmentation and classification of teeth with orthodontic brackets on cone-beam computed-tomographic images: a validation study K Ayidh Alqahtani, R Jacobs, A Smolders, A Van Gerven, H Willems, ... European Journal of Orthodontics 45 (2), 169-174, 2023 | 13 | 2023 |
| Experimental verification of X-point potential well formation in unfavorable magnetic field direction M Wensing, H de Oliveira, J Loizu, C Colandrea, O Février, S Gorno, ... Nuclear Materials and Energy 25, 100839, 2020 | 12 | 2020 |
| Dosimetric comparison of autocontouring techniques for online adaptive proton therapy A Smolders, E Choulilitsa, K Czerska, N Bizzocchi, R Krcek, A Lomax, ... Physics in Medicine & Biology 68 (17), 175006, 2023 | 6 | 2023 |
| Inter-and intrafractional 4D dose accumulation for evaluating ΔNTCP robustness in lung cancer A Smolders, AC Hengeveld, S Both, R Wijsman, JA Langendijk, ... Radiotherapy and Oncology 182, 109488, 2023 | 5 | 2023 |
| Patient-specific neural networks for contour propagation in online adaptive radiotherapy A Smolders, A Lomax, DC Weber, F Albertini Physics in Medicine & Biology 68 (9), 095010, 2023 | 5 | 2023 |
| Deformable image registration uncertainty quantification using deep learning for dose accumulation in adaptive proton therapy A Smolders, T Lomax, DC Weber, F Albertini International Workshop on Biomedical Image Registration, 57-66, 2022 | 3 | 2022 |
| Deep learning based uncertainty prediction of deformable image registration for contour propagation and dose accumulation in online adaptive radiotherapy A Smolders, A Lomax, DC Weber, F Albertini Physics in Medicine & Biology 68 (24), 245027, 2023 | 2 | 2023 |
| Fast deformable image registration uncertainty estimation for contour propagation in daily adaptive proton therapy A Smolders, F Amstutz, Y Zhang, DC Weber, T Lomax, F Albertini Medical Imaging with Deep Learning, 2022 | 1 | 2022 |
| Deep convolutional neural network-based automated segmentation and classification of teeth with orthodontic brackets on cone-beam computed-tomographic images: a validation study. A Alqahtani, R Jacobs, A Smolders, A Van Gerven, H Willems, S Shujaat, ... European Journal of Orthodontics, cjac047-cjac047, 2022 | | 2022 |
| Testing the SOLPS-ITER drift model in Ohmic TCV discharges C Colandrea, H Reimerdes, M Wensing, H De Oliveira, BP Duval, ... 47th EPS Conference on Plasma Physics, 2021 | | 2021 |
| Publisher's Note S Coda, L Porte, A Smolders The Review of scientific instruments, 2020 | | 2020 |
Francesca AlbertiniPaul Scherrer InstituteGeverifieerd e-mailadres voor psi.ch
