| Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge AAA Setio, A Traverso, T De Bel, MSN Berens, C Van Den Bogaard, ... Medical image analysis 42, 1-13, 2017 | 1275 | 2017 |
| Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ... IEEE transactions on medical imaging 30 (11), 1901-1920, 2011 | 526 | 2011 |
| Spatiotemporal motion estimation for respiratory‐correlated imaging of the lungs J Vandemeulebroucke, S Rit, J Kybic, P Clarysse, D Sarrut Medical physics 38 (1), 166-178, 2011 | 211 | 2011 |
| PCA-based groupwise image registration for quantitative MRI W Huizinga, DHJ Poot, JM Guyader, R Klaassen, BF Coolen, ... Medical image analysis 29, 65-78, 2016 | 195 | 2016 |
| The POPI-model, a point-validated pixel-based breathing thorax model J Vandemeulebroucke, D Sarrut, P Clarysse XVth international conference on the use of computers in radiation therapy …, 2007 | 187 | 2007 |
| Augmenting Microsoft's HoloLens with vuforia tracking for neuronavigation T Frantz, B Jansen, J Duerinck, J Vandemeulebroucke Healthcare technology letters 5 (5), 221-225, 2018 | 159 | 2018 |
| Is abdominal compression useful in lung stereotactic body radiation therapy? A 4DCT and dosimetric lobe-dependent study G Bouilhol, M Ayadi, S Rit, S Thengumpallil, J Schaerer, ... Physica Medica 29 (4), 333-340, 2013 | 135 | 2013 |
| The long-and short-term variability of breathing induced tumor motion in lung and liver over the course of a radiotherapy treatment J Dhont, J Vandemeulebroucke, M Burghelea, K Poels, T Depuydt, ... Radiotherapy and Oncology 126 (2), 339-346, 2018 | 131 | 2018 |
| Automated segmentation of a motion mask to preserve sliding motion in deformable registration of thoracic CT J Vandemeulebroucke, O Bernard, S Rit, J Kybic, P Clarysse, D Sarrut Medical physics 39 (2), 1006-1015, 2012 | 102 | 2012 |
| Predicting tumour motion during the whole radiotherapy treatment: a systematic approach for thoracic and abdominal lesions based on real time MR D Cusumano, J Dhont, L Boldrini, G Chiloiro, S Teodoli, M Massaccesi, ... Radiotherapy and Oncology 129 (3), 456-462, 2018 | 68 | 2018 |
| The effect of augmented reality on the accuracy and learning curve of external ventricular drain placement F Van Gestel, T Frantz, C Vannerom, A Verhellen, AG Gallagher, ... Neurosurgical focus 51 (2), E8, 2021 | 53 | 2021 |
| Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study NF Michoux, JW Ceranka, J Vandemeulebroucke, F Peeters, P Lu, J Absil, ... European radiology 31, 4514-4527, 2021 | 43 | 2021 |
| A comparison of two clinical correlation models used for real-time tumor tracking of semi-periodic motion: a focus on geometrical accuracy in lung and liver cancer patients K Poels, J Dhont, D Verellen, O Blanck, F Ernst, J Vandemeulebroucke, ... Radiotherapy and Oncology 115 (3), 419-424, 2015 | 43 | 2015 |
| Development and validation of an automated and marker-free CT-based spatial analysis method (CTSA) for assessment of femoral hip implant migration In vitro accuracy and … T Scheerlinck, M Polfliet, R Deklerck, G Van Gompel, N Buls, ... Acta Orthopaedica 87 (2), 139-145, 2016 | 40 | 2016 |
| Intrasubject multimodal groupwise registration with the conditional template entropy M Polfliet, S Klein, W Huizinga, MM Paulides, WJ Niessen, ... Medical image analysis 46, 15-25, 2018 | 39 | 2018 |
| Evolution of lung function and chest CT 6 months after COVID-19 pneumonia: real-life data from a Belgian University Hospital D Stylemans, J Smet, S Hanon, D Schuermans, B Ilsen, ... Respiratory Medicine 182, 106421, 2021 | 37 | 2021 |
| Dual-energy CT after radiofrequency ablation of liver, kidney, and lung lesions: a review of features F Vandenbroucke, S Van Hedent, G Van Gompel, N Buls, G Craggs, ... Insights into imaging 6, 363-379, 2015 | 34 | 2015 |
| 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 | 29 | 2020 |
| Medshapenet–a large-scale dataset of 3d medical shapes for computer vision J Li, Z Zhou, J Yang, A Pepe, C Gsaxner, G Luijten, C Qu, T Zhang, ... Biomedical Engineering/Biomedizinische Technik 70 (1), 71-90, 2025 | 27 | 2025 |
| Respiratory motion estimation from cone-beam projections using a prior model J Vandemeulebroucke, J Kybic, P Clarysse, D Sarrut International Conference on Medical Image Computing and Computer-Assisted …, 2009 | 27 | 2009 |
David SarrutCNRSایمیل تأیید شده در creatis.insa-lyon.fr
