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Imanol Luengo
Imanol Luengo
Medtronic - R&D Computer Vision
Verified email at medtronic.com
Title
Cited by
Cited by
Year
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, 585-606, 2016
3182016
Deepphase: surgical phase recognition in cataracts videos
O Zisimopoulos, E Flouty, I Luengo, P Giataganas, J Nehme, A Chow, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
1272018
2018 robotic scene segmentation challenge
M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ...
arXiv preprint arXiv:2001.11190, 2020
972020
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
862017
CaDIS: Cataract dataset for surgical RGB-image segmentation
M Grammatikopoulou, E Flouty, A Kadkhodamohammadi, G Quellec, ...
Medical Image Analysis 71, 102053, 2021
85*2021
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
802019
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
712019
Techniques for virtualized tool interaction
D Stoyanov, P Giataganas, P Wisanuvej, P Riordan, IL Muntion, J Nehme
US Patent 11,615,884, 2023
492023
Cholectriplet2021: A benchmark challenge for surgical action triplet recognition
CI Nwoye, D Alapatt, T Yu, A Vardazaryan, F Xia, Z Zhao, T Xia, F Jia, ...
Medical Image Analysis 86, 102803, 2023
412023
Automated operative workflow analysis of endoscopic pituitary surgery using machine learning: development and preclinical evaluation (IDEAL stage 0)
DZ Khan, I Luengo, S Barbarisi, C Addis, L Culshaw, NL Dorward, ...
Journal of Neurosurgery 137 (1), 51-58, 2021
382021
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, 1247-1257, 2019
372019
Methods and systems for using computer-vision to enhance surgical tool control during surgeries
A Chow, D Stoyanov, IL Muntion, P Giataganas, J Nehme
US Patent 10,758,309, 2020
322020
Methods and systems for using multiple data structures to process surgical data
P Giataganas, IL Muntion, A Chow, J Nehme, D Stoyanov
US Patent 11,189,379, 2021
292021
Biomedical image analysis competitions: The state of current participation practice
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ...
arXiv preprint arXiv:2212.08568, 2022
282022
Towards real-time multiple surgical tool tracking
M Robu, A Kadkhodamohammadi, I Luengo, D Stoyanov
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2021
212021
Aspnet: Action segmentation with shared-private representation of multiple data sources
B van Amsterdam, A Kadkhodamohammadi, I Luengo, D Stoyanov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
182023
PATG: position-aware temporal graph networks for surgical phase recognition on laparoscopic videos
A Kadkhodamohammadi, I Luengo, D Stoyanov
International Journal of Computer Assisted Radiology and Surgery 17 (5), 849-856, 2022
182022
Data-centric multi-task surgical phase estimation with sparse scene segmentation
R Sanchez-Matilla, M Robu, M Grammatikopoulou, I Luengo, D Stoyanov
International Journal of Computer Assisted Radiology and Surgery 17 (5), 953-960, 2022
172022
Scalable joint detection and segmentation of surgical instruments with weak supervision
R Sanchez-Matilla, M Robu, I Luengo, D Stoyanov
International conference on medical image computing and computer-assisted …, 2021
172021
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
172018
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