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Razmig Kéchichian
Razmig Kéchichian
Associate Professor, INSA de Lyon
Verified email at insa-lyon.fr
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Cited by
Cited by
Year
Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: VISCERAL anatomy benchmarks
O Jimenez-del-Toro, H Müller, M Krenn, K Gruenberg, AA Taha, ...
IEEE transactions on medical imaging 35 (11), 2459-2475, 2016
2022016
Cycle GAN-based data augmentation for multi-organ detection in CT images via YOLO
M Hammami, D Friboulet, R Kechichian
2020 IEEE international conference on image processing (ICIP), 390-393, 2020
732020
A web interface for 3D visualization and interactive segmentation of medical images
H Jacinto, R Kéchichian, M Desvignes, R Prost, S Valette
Proceedings of the 17th international conference on 3D web technology, 51-58, 2012
672012
Shortest-path constraints for 3d multiobject semiautomatic segmentation via clustering and graph cut
R Kéchichian, S Valette, M Desvignes, R Prost
IEEE Transactions on Image Processing 22 (11), 4224-4236, 2013
352013
Automatic 3D multiorgan segmentation via clustering and graph cut using spatial relations and hierarchically-registered atlases
R Kéchichian, S Valette, M Sdika, M Desvignes
Medical Computer Vision: Algorithms for Big Data: International Workshop …, 2014
262014
Automatic multiorgan segmentation via multiscale registration and graph cut
R Kéchichian, S Valette, M Desvignes
IEEE transactions on medical imaging 37 (12), 2739-2749, 2018
182018
Hubless keypoint-based 3D deformable groupwise registration
R Agier, S Valette, R Kéchichian, L Fanton, R Prost
Medical image analysis 59, 101564, 2020
152020
New data model for graph-cut segmentation: application to automatic melanoma delineation
R Kéchichian, H Gong, M Revenu, O Lézoray, M Desvignes
2014 IEEE International Conference on Image Processing (ICIP), 892-896, 2014
142014
Efficient multi-object segmentation of 3D medical images using clustering and graph cuts
R Kéchichian, S Valette, M Desvignes, R Prost
2011 18th IEEE International Conference on Image Processing, 2149-2152, 2011
82011
Learning 3D medical image keypoint descriptors with the triplet loss
N Loiseau–Witon, R Kéchichian, S Valette, A Bartoli
International Journal of Computer Assisted Radiology and Surgery 17 (1), 141-146, 2022
62022
Automatic multiorgan segmentation using hierarchically registered probabilistic atlases
R Kéchichian, S Valette, M Desvignes
Cloud-Based Benchmarking of Medical Image Analysis, 185-201, 2017
42017
Data augmentation for multi-organ detection in medical images
M Hammami, D Friboulet, R Kéchichian
2020 Tenth International Conference on Image Processing Theory, Tools and …, 2020
32020
Learning 3d medical image patch descriptors with the triplet loss
N Loiseau-Witon, R Kéchichian, S Valette, A Bartoli
IPCAI 2021, 2021
22021
Positioning of anatomical landmarks in orthopedics by mesh registration
H Jacinto, R Kéchichian, S Valette, R Prost
2014 IEEE International Conference on Image Processing (ICIP), 3572-3576, 2014
22014
Image denoising using contextual modeling of curvelet coefficients
R Kéchichian, C Amiot, C Girard, J Pescatore, J Chanussot, M Desvignes
2014 IEEE International Conference on Image Processing (ICIP), 2659-2663, 2014
22014
Structural priors for multiobject semi-automatic segmentation of three-dimensional medical images via clustering and graph cut algorithms
R Kéchichian
INSA de Lyon, 2013
22013
Local Surf-Based Keypoint Transfer Segmentation
A Bralet, R Kéchichian, S Valette
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1390-1393, 2021
12021
Anatomical Constraints for 3D Multi-organ semi-automatic segmentation via clustering and graph cut
R Kéchichian, S Valette, M Desvignes, R Prost
Nouvelles méthodologies en imagerie du vivant, 2012
12012
SCONet: Convolutional Occupancy Networks for multi-organ segmentation
M Jouvencel, R Kechichian, J Digne, S Valette
Medical Imaging with Deep Learning, 2024
2024
Description de points clés par apprentissage dans des images médicales 3D
N Loiseau, R Kechichian, S Valette, A Bartoli
ORASIS 2021, 2021
2021
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