Yago Diez
Yago Diez
Associate Professor, Yamagata University
Verified email at - Homepage
Cited by
Cited by
A qualitative review on 3D coarse registration methods
Y Diez, F Roure, X Lladó, J Salvi
ACM Computing Surveys (CSUR) 47 (3), 1-36, 2015
Revisiting intensity-based image registration applied to mammography
Y Díez, A Oliver, X Llado, J Freixenet, J Marti, JC Vilanova, R Marti
IEEE Transactions on Information Technology in Biomedicine 15 (5), 716-725, 2011
A subtraction pipeline for automatic detection of new appearing multiple sclerosis lesions in longitudinal studies
O Ganiler, A Oliver, Y Diez, J Freixenet, JC Vilanova, B Beltran, ...
Neuroradiology 56 (5), 363-374, 2014
Hierarchical normal space sampling to speed up point cloud coarse matching
Y Diez, J Martí, J Salvi
Pattern Recognition Letters 33 (16), 2127-2133, 2012
Improved automatic detection of new T2 lesions in multiple sclerosis using deformation fields
M Cabezas, JF Corral, A Oliver, Y Díez, M Tintoré, C Auger, X Montalban, ...
American Journal of Neuroradiology 37 (10), 1816-1823, 2016
Efficient trajectory queries under the Fréchet distance (GIS Cup)
K Buchin, Y Diez, T van Diggelen, W Meulemans
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances …, 2017
Hanabi is np-hard, even for cheaters who look at their cards
JF Baffier, MK Chiu, Y Diez, M Korman, V Mitsou, A Van Renssen, ...
arXiv preprint arXiv:1603.01911, 2016
Computer vision and deep learning techniques for the analysis of drone-acquired forest images, a transfer learning study
S Kentsch, ML Lopez Caceres, D Serrano, F Roure, Y Diez
Remote Sensing 12 (8), 1287, 2020
Intensity based methods for brain MRI longitudinal registration. A study on multiple sclerosis patients
Y Diez, A Oliver, M Cabezas, S Valverde, R Martí, JC Vilanova, ...
Neuroinformatics 12 (3), 365-379, 2014
A step‐by‐step review on patient‐specific biomechanical finite element models for breast MRI to x‐ray mammography registration
E García, Y Diez, O Diaz, X Lladó, R Martí, J Martí, A Oliver
Medical physics 45 (1), e6-e31, 2018
Breast MRI and X-ray mammography registration using gradient values
E García, Y Diez, O Diaz, X Lladó, A Gubern-Mérida, R Martí, J Martí, ...
Medical image analysis 54, 76-87, 2019
Evaluating the effects of white matter multiple sclerosis lesions on the volume estimation of 6 brain tissue segmentation methods
S Valverde, A Oliver, Y Díez, M Cabezas, JC Vilanova, L Ramió-Torrentà, ...
American Journal of Neuroradiology 36 (6), 1109-1115, 2015
Deep learning in forestry using uav-acquired rgb data: A practical review
Y Diez, S Kentsch, M Fukuda, MLL Caceres, K Moritake, M Cabezas
Remote Sensing 13 (14), 2837, 2021
Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning
HT Nguyen, ML Lopez Caceres, K Moritake, S Kentsch, H Shu, Y Diez
Remote Sensing 13 (2), 260, 2021
Analysis of UAV-acquired wetland orthomosaics using gis, computer vision, computational topology and deep learning
S Kentsch, M Cabezas, L Tomhave, J Groß, B Burkhard, ...
Sensors 21 (2), 471, 2021
Automated quality assessment in three-dimensional breast ultrasound images
J Schwaab, Y Diez, A Oliver, R Martí, J Van Zelst, A Gubern-Mérida, ...
Journal of Medical Imaging 3 (2), 027002, 2016
Comparison of registration methods using mamographic images
Y Díez, A Oliver, X Lladó, R Martí
2010 IEEE International Conference on Image Processing, 4421-4424, 2010
On the comparison of classic and deep keypoint detector and descriptor methods
D Bojanić, K Bartol, T Pribanić, T Petković, YD Donoso, JS Mas
2019 11th International Symposium on Image and Signal Processing and …, 2019
Comparison of methods for current-to-prior registration of breast DCE-MRI
Y Diez, A Gubern-Mérida, L Wang, S Diekmann, J Martí, B Platel, ...
International Workshop on Digital Mammography, 689-695, 2014
Noisy road network matching
Y Diez, MA Lopez, JA Sellares
International Conference on Geographic Information Science, 38-54, 2008
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