| Graph-based deep learning for medical diagnosis and analysis: past, present and future D Ahmedt-Aristizabal, MA Armin, S Denman, C Fookes, L Petersson Sensors 21 (14), 4758, 2021 | 207 | 2021 |
| Dual contrastive learning for unsupervised image-to-image translation J Han, M Shoeiby, L Petersson, MA Armin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 199 | 2021 |
| A survey on graph-based deep learning for computational histopathology D Ahmedt-Aristizabal, MA Armin, S Denman, C Fookes, L Petersson Computerized Medical Imaging and Graphics 95, 102027, 2022 | 112 | 2022 |
| Single underwater image restoration by contrastive learning J Han, M Shoeiby, T Malthus, E Botha, J Anstee, S Anwar, R Wei, ... 2021 IEEE international geoscience and remote sensing symposium IGARSS, 2385 …, 2021 | 64 | 2021 |
| Underwater image restoration via contrastive learning and a real-world dataset J Han, M Shoeiby, T Malthus, E Botha, J Anstee, S Anwar, R Wei, ... Remote Sensing 14 (17), 4297, 2022 | 59 | 2022 |
| A review of hydrodynamic and machine learning approaches for flood inundation modeling F Karim, MA Armin, D Ahmedt-Aristizabal, L Tychsen-Smith, L Petersson Water 15 (3), 566, 2023 | 45 | 2023 |
| You only cut once: Boosting data augmentation with a single cut J Han, P Fang, W Li, J Hong, MA Armin, I Reid, L Petersson, H Li International Conference on Machine Learning, 8196-8212, 2022 | 30 | 2022 |
| Blind image decomposition J Han, W Li, P Fang, C Sun, J Hong, MA Armin, L Petersson, H Li European Conference on Computer Vision, 218-237, 2022 | 27 | 2022 |
| Vision-based activity recognition in children with autism-related behaviors P Wei, D Ahmedt-Aristizabal, H Gammulle, S Denman, MA Armin Heliyon 9 (6), 2023 | 21 | 2023 |
| Automated visibility map of the internal colon surface from colonoscopy video MA Armin, G Chetty, H De Visser, C Dumas, F Grimpen, O Salvado International journal of computer assisted radiology and surgery 11, 1599-1610, 2016 | 18 | 2016 |
| In-bed human pose estimation from unseen and privacy-preserving image domains T Cao, MA Armin, S Denman, L Petersson, D Ahmedt-Aristizabal 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 17 | 2022 |
| Visibility map: a new method in evaluation quality of optical colonoscopy MA Armin, H De Visser, G Chetty, C Dumas, D Conlan, F Grimpen, ... Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 15 | 2015 |
| The csiro crown-of-thorn starfish detection dataset J Liu, B Kusy, R Marchant, B Do, T Merz, J Crosswell, A Steven, N Heaney, ... arXiv preprint arXiv:2111.14311, 2021 | 13 | 2021 |
| A hyperspectral and RGB dataset for building façade segmentation N Habili, E Kwan, W Li, C Webers, J Oorloff, MA Armin, L Petersson European Conference on Computer Vision, 258-267, 2022 | 12 | 2022 |
| Learning camera pose from optical colonoscopy frames through deep convolutional neural network (CNN) MA Armin, N Barnes, J Alvarez, H Li, F Grimpen, O Salvado Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures …, 2017 | 12 | 2017 |
| Uninformative frame detection in colonoscopy through motion, edge and color features MA Armin, G Chetty, F Jurgen, H De Visser, C Dumas, A Fazlollahi, ... Computer-Assisted and Robotic Endoscopy: Second International Workshop, CARE …, 2016 | 12 | 2016 |
| Weakly-supervised point cloud instance segmentation with geometric priors H Du, X Yu, F Hussain, MA Armin, L Petersson, W Li Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 11 | 2023 |
| Ofgan: Realistic rendition of synthetic colonoscopy videos J Xu, S Anwar, N Barnes, F Grimpen, O Salvado, S Anderson, MA Armin Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 9 | 2020 |
| Unsupervised learning of endoscopy video frames’ correspondences from global and local transformation MA Armin, N Barnes, S Khan, M Liu, F Grimpen, O Salvado OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018 | 9 | 2018 |
| Prediction of thickness and fouling rate in pulsating flow heat exchangers, using FLUENT simulator N Saghatoleslami, MK Salooki, MA Armin Korean journal of chemical engineering 27, 96-103, 2010 | 9 | 2010 |
