Imanol Luengo
Imanol Luengo
Digital Surgery - R&D Computer Vision
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Cited by
Leaf segmentation in plant phenotyping: a collation study
H Scharr, M Minervini, AP French, C Klukas, DM Kramer, X Liu, I Luengo, ...
Machine vision and applications 27 (4), 585-606, 2016
SuRVoS: super-region volume segmentation workbench
I Luengo, MC Darrow, MC Spink, Y Sun, W Dai, CY He, W Chiu, ...
Journal of Structural Biology 198 (1), 43-53, 2017
Deepphase: surgical phase recognition in cataracts videos
O Zisimopoulos, E Flouty, I Luengo, P Giataganas, J Nehme, A Chow, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Artificial intelligence for the real-time classification of intrapapillary capillary loop patterns in the endoscopic diagnosis of early oesophageal squamous cell carcinoma: A …
M Everson, LCGP Herrera, W Li, IM Luengo, O Ahmad, M Banks, ...
United European gastroenterology journal 7 (2), 297-306, 2019
EasyLabels: weak labels for scene segmentation in laparoscopic videos
F Fuentes-Hurtado, A Kadkhodamohammadi, E Flouty, S Barbarisi, ...
International journal of computer assisted radiology and surgery 14 (7 …, 2019
2018 Robotic Scene Segmentation Challenge
M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ...
arXiv preprint arXiv:2001.11190, 2020
SMURFS: superpixels from multi-scale refinement of super-regions
I Luengo, M Basham, AP French
British Machine Vision Conference (BMVC), 2016
SurReal: Enhancing surgical simulation realism using style transfer
I Luengo, E Flouty, P Giataganas, P Wisanuvej, J Nehme, D Stoyanov
arXiv preprint arXiv:1811.02946, 2018
Interpretable fully convolutional classification of intrapapillary capillary loops for real-time detection of early squamous neoplasia
LC Garcia-Peraza-Herrera, M Everson, W Li, I Luengo, L Berger, ...
arXiv preprint arXiv:1805.00632, 2018
Surgical simulation for training detection and classification neural networks
O Zisimopoulos, E Flouty, IL Muntion, M Stacey, S Muscroft, P Giataganas, ...
US Patent 10,242,292, 2019
Fast global interactive volume segmentation with regional supervoxel descriptors
I Luengo, M Basham, AP French
Medical Imaging 2016: Image Processing 9784, 97842D, 2016
Volume segmentation and analysis of biological materials using SuRVoS (Super-region Volume Segmentation) Workbench
MC Darrow, I Luengo, M Basham, MC Spink, S Irvine, AP French, ...
JoVE (Journal of Visualized Experiments), e56162, 2017
Hierarchical Piecewise-Constant Super-regions
I Luengo, M Basham, AP French
arXiv preprint arXiv:1605.05937, 2016
Cadis: Cataract dataset for image segmentation
E Flouty, A Kadkhodamohammadi, I Luengo, F Fuentes-Hurtado, H Taleb, ...
arXiv preprint arXiv:1906.11586, 2019
Feature Aggregation Decoder for Segmenting Laparoscopic Scenes
A Kadkhodamohammadi, I Luengo, S Barbarisi, H Taleb, E Flouty, ...
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical …, 2019
Correlation of cryo soft X-ray tomography with cryo fluorescence microscopy to characterise cellular organelles at beamline B24, diamond light source
MC Spink, MC Darrow, H Fisher, A Burt, K Marshall, I Luengo, ...
Microscopy and Microanalysis 24 (S2), 374-375, 2018
PTH-004 Deep learning for real-time automated polyp localisation in colonoscopy videos
OF Ahmad, I Luengo, LGP Herrera, P Brandao, W Li, M Everson, R Haidry, ...
Gut 67 (Suppl 1), A13-A14, 2018
ADTH-07 Deep learning based classification of intrapapillary capillary loops for detection of early oesophageal squamous neoplasia
M Everson, LGP Herrera, W Li, IL Muntion, O Ahmad, D Graham, M Banks, ...
Gut 67 (Suppl 1), A10-A11, 2018
Hierarchical super-regions and their applications to biological volume segmentation
I Luengo
University of Nottingham, 2018
Cryo Soft X-ray Tomography and Other Techniques at Diamond Light Source
MC Darrow, M Harkiolaki, M Spink, I Luengo, M Basham, EMH Duke
Microscopy and Microanalysis 23 (S1), 972-973, 2017
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