| On differentiating parameterized argmin and argmax problems with application to bi-level optimization S Gould, B Fernando, A Cherian, P Anderson, RS Cruz, E Guo arXiv preprint arXiv:1607.05447, 2016 | 268 | 2016 |
| DeepPermNet: Visual Permutation Learning R Santa Cruz, B Fernando, A Cherian, S Gould The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 120 | 2017 |
| DeepCSR: A 3D deep learning approach for cortical surface reconstruction RS Cruz, L Lebrat, P Bourgeat, C Fookes, J Fripp, O Salvado Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 99 | 2021 |
| Visual permutation learning R Santa Cruz, B Fernando, A Cherian, S Gould IEEE transactions on pattern analysis and machine intelligence 41 (12), 3100 …, 2018 | 77 | 2018 |
| CorticalFlow: A diffeomorphic mesh transformer network for cortical surface reconstruction L Lebrat, R Santa Cruz, F De Gournay, D Fu, P Bourgeat, J Fripp, ... Advances in Neural Information Processing Systems 34, 29491-29505, 2021 | 56 | 2021 |
| CorticalFlow: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability R Santa Cruz, L Lebrat, D Fu, P Bourgeat, J Fripp, C Fookes, O Salvado International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 39 | 2022 |
| Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods F Rusak, R Santa Cruz, L Lebrat, O Hlinka, J Fripp, E Smith, C Fookes, ... Medical Image Analysis 82, 102576, 2022 | 19 | 2022 |
| Neural Radiance Fields for the Real World: A Survey W Xiao, R Chierchia, RS Cruz, X Li, D Ahmedt-Aristizabal, O Salvado, ... arXiv preprint arXiv:2501.13104, 2025 | 17 | 2025 |
| Neural Algebra of Classifiers R Santa Cruz, B Fernando, A Cherian, S Gould The IEEE Winter Conference on Applications of Computer Vision (WACV), 2018 | 17 | 2018 |
| 3D brain MRI GAN-based synthesis conditioned on partial volume maps F Rusak, R Santa Cruz, P Bourgeat, C Fookes, J Fripp, A Bradley, ... International Workshop on Simulation and Synthesis in Medical Imaging, 11-20, 2020 | 16 | 2020 |
| Nerf director: Revisiting view selection in neural volume rendering W Xiao, RS Cruz, D Ahmedt-Aristizabal, O Salvado, C Fookes, L Lebrat Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 15 | 2024 |
| On differentiating parameterized argmin and argmax problems with application to bi-level optimization, 2016 S Gould, B Fernando, A Cherian, P Anderson, RS Cruz, E Guo URL http://arxiv. org/abs/1607.05447, 0 | 11 | |
| Going deeper with brain morphometry using neural networks R Santa Cruz, L Lebrat, P Bourgeat, V Doré, J Dowling, J Fripp, C Fookes, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 711-715, 2021 | 10 | 2021 |
| Bayesian model averaging naive bayes (bma-nb): Averaging over an exponential number of feature models in linear time G Wu, S Sanner, R Oliveira Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 8 | 2015 |
| CorticalFlow: a diffeomorphic mesh deformation module for cortical surface reconstruction L Lebrat, R Santa Cruz, F de Gournay, D Fu, P Bourgeat, J Fripp, ... arXiv preprint arXiv:2206.02374 3 (6), 2022 | 6 | 2022 |
| CSIRO at ImageCLEFmedical caption 2022 L Lebrat, A Nicolson, R Santa Cruz, G Belous, B Koopman, J Dowling Proceedings of the Working Notes of CLEF 2022-Conference and Labs of the …, 2022 | 6 | 2022 |
| Interpretability of AI race detection model in medical imaging with saliency methods S Konate, L Lebrat, R Santa Cruz, JW Gichoya, B Price, ... Computational and Structural Biotechnology Journal 28, 63-70, 2025 | 5 | 2025 |
| Localisation of racial information in chest x-ray for deep learning diagnosis O Salvado, S Konate, R Santa Cruz, A Bdadley, JW Gichoya, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-4, 2024 | 5 | 2024 |
| DBCE: a saliency method for medical deep learning through anatomically-consistent free-form deformations J Peters, L Lebrat, RS Cruz, A Nicolson, G Belous, S Konate, P Raniga, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 5 | 2023 |
| A comparison of saliency methods for deep learning explainability S Konate, L Lebrat, R Santa Cruz, E Smith, A Bradley, C Fookes, ... 2021 Digital Image Computing: Techniques and Applications (DICTA), 01-08, 2021 | 5 | 2021 |
Clinton FookesQueensland University of TechnologyVerified email at qut.edu.au
