| Evaluation of segmentation methods on head and neck CT: auto‐segmentation challenge 2015 PF Raudaschl, P Zaffino, GC Sharp, MF Spadea, A Chen, BM Dawant, ... Medical physics 44 (5), 2020-2036, 2017 | 277 | 2017 |
| Test-time unsupervised domain adaptation T Varsavsky, M Orbes-Arteaga, CH Sudre, MS Graham, P Nachev, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 68 | 2020 |
| Multi-domain adaptation in brain MRI through paired consistency and adversarial learning M Orbes-Arteaga, T Varsavsky, CH Sudre, Z Eaton-Rosen, LJ Haddow, ... Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 45 | 2019 |
| Domain adaptation and representation transfer and medical image learning with less labels and imperfect data M Orbes-Arteaga, T Varsavsky, CH Sudre, Z Eaton-Rosen, LJ Haddow, ... Springer, 2019 | 30 | 2019 |
| Knowledge distillation for semi-supervised domain adaptation M Orbes-Arteainst, J Cardoso, L Sørensen, C Igel, S Ourselin, M Modat, ... OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical …, 2019 | 30 | 2019 |
| Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs M Orbes-Arteaga, MJ Cardoso, L Sørensen, M Modat, S Ourselin, ... arXiv preprint arXiv:1808.06519, 2018 | 22 | 2018 |
| DermX: An end-to-end framework for explainable automated dermatological diagnosis R Jalaboi, F Faye, M Orbes-Arteaga, D Jørgensen, O Winther, ... Medical Image Analysis 83, 102647, 2023 | 14 | 2023 |
| Head and neck auto segmentation challenge based on non-local generative models M Orbes-Arteaga, D Pea, G Dominguez MIDAS J, 2015 | 12 | 2015 |
| A kernel-based representation to support 3d mri unsupervised clustering D Cardenas-Pena, M Orbes-Arteaga, A Castro-Ospina, A Alvarez-Meza, ... 2014 22nd International Conference on Pattern Recognition, 3203-3208, 2014 | 6 | 2014 |
| Augmentation based unsupervised domain adaptation M Orbes-Arteaga, T Varsavsky, L Sorensen, M Nielsen, A Pai, S Ourselin, ... arXiv preprint arXiv:2202.11486, 2022 | 5 | 2022 |
| Knowledge distillation for semi-supervised domain adaptation M Orbes-Arteaga, J Cardoso, L Sørensen, C Igel, S Ourselin, M Modat, ... arXiv preprint arXiv:1908.07355, 2019 | 4 | 2019 |
| PADDIT: probabilistic augmentation of data using diffeomorphic image transformation M Orbes-Arteaga, L Sørensen, J Cardoso, M Modat, S Ourselin, ... Medical Imaging 2019: Image Processing 10949, 197-202, 2019 | 4 | 2019 |
| Magnetic resonance image selection for multi-atlas segmentation using mixture models M Orbes-Arteaga, D Cárdenas-Peña, MA Álvarez, AA Orozco, ... Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2015 | 4 | 2015 |
| Kernel centered alignment supervised metric for multi-atlas segmentation M Orbes-Arteaga, D Cárdenas-Peña, MA Álvarez, AA Orozco, ... Image Analysis and Processing—ICIAP 2015: 18th International Conference …, 2015 | 3 | 2015 |
| Supervised brain tissue segmentation using a spatially enhanced similarity metric D Cárdenas-Peña, M Orbes-Arteaga, G Castellanos-Dominguez Artificial Computation in Biology and Medicine: International Work …, 2015 | 2 | 2015 |
| DermX: a Dermatological Diagnosis Explainability Dataset R Jalaboi, MO Arteaga, DR Jørgensen, I Manole, O Ionescu-Bozdog, ... | 1 | |
| Explainability of Convolutional Neural Networks for Dermatological Diagnosis R Jalaboi, MO Arteaga, DR Jørgensen, I Manole, OI Bozdog, A Chiriac, ... Iproceedings 7 (1), e35437, 2021 | | 2021 |
| Multi-Atlas Structure Segmentation On Medical Images HM Orbes Arteaga Departamento de Ingeniería Eléctrica, Electrónica y Computación, 2016 | | 2016 |
| Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation M Orbes-Arteaga, D Cárdenas-Peña, MA Álvarez, AA Orozco, ... Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015 …, 2015 | | 2015 |
| Kernel-based Atlas Image Selection for brain tissue segmentation D Cárdenas-Peña, M Orbes-Arteaga, G Castellanos-Dominguez 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | | 2014 |
M. Jorge CardosoReader, King's College LondonVerified email at kcl.ac.uk
