| Usad: Unsupervised anomaly detection on multivariate time series J Audibert, P Michiardi, F Guyard, S Marti, MA Zuluaga Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 1356 | 2020 |
| Interactive medical image segmentation using deep learning with image-specific fine tuning G Wang, W Li, MA Zuluaga, R Pratt, PA Patel, M Aertsen, T Doel, ... IEEE transactions on medical imaging 37 (7), 1562-1573, 2018 | 1040 | 2018 |
| DeepIGeoS: a deep interactive geodesic framework for medical image segmentation G Wang, MA Zuluaga, W Li, R Pratt, PA Patel, M Aertsen, T Doel, ... IEEE transactions on pattern analysis and machine intelligence 41 (7), 1559-1572, 2018 | 573 | 2018 |
| FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare K Lekadir, AF Frangi, AR Porras, B Glocker, C Cintas, CP Langlotz, ... bmj 388, 2025 | 336 | 2025 |
| Right ventricle segmentation from cardiac MRI: a collation study C Petitjean, MA Zuluaga, W Bai, JN Dacher, D Grosgeorge, J Caudron, ... Medical image analysis 19 (1), 187-202, 2015 | 289 | 2015 |
| Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets C Tobon-Gomez, AJ Geers, J Peters, J Weese, K Pinto, R Karim, ... IEEE Transactions on Medical Imaging 34 (7), 1460 - 1473, 2015 | 250 | 2015 |
| Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I AL Martel, P Abolmaesumi, D Stoyanov, D Mateus, MA Zuluaga, SK Zhou, ... Springer Nature, 2020 | 124* | 2020 |
| Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian–Eulerian PDE approach using partial volume maps O Acosta, P Bourgeat, MA Zuluaga, J Fripp, O Salvado, S Ourselin, ... Medical image analysis 13 (5), 730-743, 2009 | 121 | 2009 |
| Multi-atlas propagation whole heart segmentation from MRI and CTA using a local normalised correlation coefficient criterion MA Zuluaga, MJ Cardoso, M Modat, S Ourselin International Conference on Functional Imaging and Modeling of the Heart …, 2013 | 117 | 2013 |
| Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading K Hameeteman, MA Zuluaga, M Freiman, L Joskowicz, O Cuisenaire, ... Medical image analysis 15 (4), 477-488, 2011 | 108 | 2011 |
| Detecting clinically meaningful shape clusters in medical image data: metrics analysis for hierarchical clustering applied to healthy and pathological aortic arches JL Bruse, MA Zuluaga, A Khushnood, K McLeod, HN Ntsinjana, TY Hsia, ... IEEE Transactions on Biomedical Engineering 64 (10), 2373-2383, 2017 | 107 | 2017 |
| Deep learning segmentation of the right ventricle in cardiac MRI: the M&Ms challenge C Martín-Isla, VM Campello, C Izquierdo, K Kushibar, C Sendra-Balcells, ... IEEE Journal of Biomedical and Health Informatics 27 (7), 3302-3313, 2023 | 96 | 2023 |
| Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection? J Audibert, P Michiardi, F Guyard, S Marti, MA Zuluaga Pattern Recognition 132, 108945, 2022 | 95 | 2022 |
| Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views G Wang, MA Zuluaga, R Pratt, M Aertsen, T Doel, M Klusmann, AL David, ... Medical image analysis 34, 137-147, 2016 | 94 | 2016 |
| Matrix profile XXIV: scaling time series anomaly detection to trillions of datapoints and ultra-fast arriving data streams Y Lu, R Wu, A Mueen, MA Zuluaga, E Keogh Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 87 | 2022 |
| Multi-task deep learning for glaucoma detection from color fundus images L Pascal, OJ Perdomo, X Bost, B Huet, S Otálora, MA Zuluaga Scientific Reports 12 (1), 12361, 2022 | 62 | 2022 |
| Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment R Sparks, G Zombori, R Rodionov, M Nowell, SB Vos, MA Zuluaga, ... International journal of computer assisted radiology and surgery 12 (1), 123-136, 2017 | 59 | 2017 |
| Benchmarking the cow with the topcow challenge: Topology-aware anatomical segmentation of the circle of willis for cta and mra K Yang, F Musio, Y Ma, N Juchler, JC Paetzold, R Al-Maskari, L Höher, ... ArXiv, arXiv: 2312.17670 v4, 2025 | 55 | 2025 |
| Micro-CT and histological investigation of the spatial pattern of feto-placental vascular density R Aughwane, C Schaaf, JC Hutchinson, A Virasami, MA Zuluaga, ... Placenta 88, 36-43, 2019 | 51 | 2019 |
| Learning from only positive and unlabeled data to detect lesions in vascular CT images MA Zuluaga, D Hush, EJF Delgado Leyton, MH Hoyos, M Orkisz International conference on medical image computing and computer-assisted …, 2011 | 51 | 2011 |
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonVerified email at kcl.ac.uk
