Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey IA Viedma, D Alonso-Caneiro, SA Read, MJ Collins Neurocomputing 507, 247-264, 2022 | 45 | 2022 |
OCT retinal and choroidal layer instance segmentation using mask R-CNN IA Viedma, D Alonso-Caneiro, SA Read, MJ Collins Sensors 22 (5), 2016, 2022 | 21 | 2022 |
Sex-classification from cellphones periocular iris images J Tapia, C Arellano, I Viedma Selfie Biometrics: Advances and Challenges, 227-242, 2019 | 18 | 2019 |
Gender classification from multispectral periocular images J Tapia, I Viedma 2017 IEEE international joint conference on biometrics (IJCB), 805-812, 2017 | 16 | 2017 |
Relevant features for gender classification in NIR periocular images I Viedma, J Tapia, A Iturriaga, C Busch IET Biometrics 8 (5), 340-350, 2019 | 13 | 2019 |
OCT retinal image-to-image translation: Analysing the use of CycleGAN to improve retinal boundary semantic segmentation IA Viedma, D Alonso–Caneiro, SA Read, MJ Collins 2021 Digital Image Computing: Techniques and Applications (DICTA), 01-08, 2021 | 7 | 2021 |
Deep gender classification and visualization of near-infra-red periocular-iris images I Viedma, J Tapia 2018 IEEE International Conference on Image Processing, Applications and …, 2018 | 5 | 2018 |
A deep learning multi-capture segmentation modality for retinal OCT imaging IA Viedma, D Alonso-Caneiro, SA Read, MJ Collins, H Hoseini-Yazdi 2022 International Conference on Digital Image Computing: Techniques and …, 2022 | 3 | 2022 |
A wavelength-agnostic, deep learning algorithm segmenting the hyperautofluorescent ring in retinitis pigmentosa J Charng, I Viedma, D Alonso-Caneiro, DA Mackey, FK Chen Investigative Ophthalmology & Visual Science 63 (7), 2073–F0062-2073–F0062, 2022 | 1 | 2022 |
Fraud Attack Detection in Remote Verification Systems for Non-enrolled Users I Viedma, S Gonzalez, R Navarro, J Tapia AI and Deep Learning in Biometric Security, 239-256, 2021 | 1 | 2021 |