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ORCIDRazmig Kéchichian
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2020 – today
- 2022
[j5]Nicolas Loiseau-Witon, Razmig Kéchichian, Sébastien Valette
, Adrien Bartoli:
Learning 3D medical image keypoint descriptors with the triplet loss. Int. J. Comput. Assist. Radiol. Surg. 17(1): 141-146 (2022)- 2021
- [c9]Antoine Bralet, Razmig Kéchichian, Sébastien Valette:
Local Surf-Based Keypoint Transfer Segmentation. ISBI 2021: 1390-1393 - 2020
- [j4]Rémi Agier, Sébastien Valette, Razmig Kéchichian, Laurent Fanton, Rémy Prost:
Hubless keypoint-based 3D deformable groupwise registration. Medical Image Anal. 59 (2020) - [c8]Maryam Hammami, Denis Friboulet, Razmig Kéchichian:
Cycle GAN-Based Data Augmentation For Multi-Organ Detection In CT Images Via Yolo. ICIP 2020: 390-393 - [c7]Maryam Hammami, Denis Friboulet, Razmig Kéchichian:
Data augmentation for multi-organ detection in medical images. IPTA 2020: 1-6
2010 – 2019
- 2018
- [j3]Razmig Kéchichian, Sébastien Valette, Michel Desvignes:
Automatic Multiorgan Segmentation via Multiscale Registration and Graph Cut. IEEE Trans. Medical Imaging 37(12): 2739-2749 (2018) - [i1]Rémi Agier, Sébastien Valette, Razmig Kéchichian, Laurent Fanton, Rémy Prost:
Hubless keypoint-based 3D deformable groupwise registration. CoRR abs/1809.03951 (2018) - 2017
- [p1]Razmig Kéchichian, Sébastien Valette, Michel Desvignes:
Automatic Multiorgan Segmentation Using Hierarchically Registered Probabilistic Atlases. Cloud-Based Benchmarking of Medical Image Analysis 2017: 185-201 - 2016
- [j2]Oscar Alfonso Jiménez del Toro, Henning Müller, Markus Krenn, Katharina Gruenberg, Abdel Aziz Taha, Marianne Winterstein, Ivan Eggel, Antonio Foncubierta-Rodríguez, Orcun Goksel, András Jakab, Georgios Kontokotsios, Georg Langs, Bjoern H. Menze, Tomas Salas Fernandez, Roger Schaer, Anna Walleyo, Marc-André Weber, Yashin Dicente Cid, Tobias Gass, Mattias P. Heinrich, Fucang Jia, Fredrik Kahl, Razmig Kéchichian, Dominic Mai, Assaf B. Spanier, Graham Vincent, Chunliang Wang, Daniel Wyeth, Allan Hanbury:
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks. IEEE Trans. Medical Imaging 35(11): 2459-2475 (2016) - 2014
- [c6]Razmig Kéchichian, Hao Gong, Marinette Revenu, Olivier Lézoray, Michel Desvignes:
New data model for graph-cut segmentation: Application to automatic melanoma delineation. ICIP 2014: 892-896 - [c5]Razmig Kéchichian, Carole Amiot, Catherine Girard, Jérémie Pescatore, Jocelyn Chanussot, Michel Desvignes:
Image denoising using contextual modeling of curvelet coefficients. ICIP 2014: 2659-2663 - [c4]Hector Jacinto, Razmig Kéchichian, Sébastien Valette, Rémy Prost:
Positioning of anatomical landmarks in orthopedics by MESH registration. ICIP 2014: 3572-3576 - [c3]Razmig Kéchichian, Sébastien Valette, Michaël Sdika, Michel Desvignes:
Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases. MCV 2014: 201-209 - 2013
- [j1]Razmig Kéchichian, Sébastien Valette, Michel Desvignes, Rémy Prost:
Shortest-Path Constraints for 3D Multiobject Semiautomatic Segmentation Via Clustering and Graph Cut. IEEE Trans. Image Process. 22(11): 4224-4236 (2013) - 2012
- [c2]Hector Jacinto, Razmig Kéchichian, Michel Desvignes, Rémy Prost, Sébastien Valette:
A web interface for 3D visualization and interactive segmentation of medical images. Web3D 2012: 51-58 - 2011
- [c1]Razmig Kéchichian, Sébastien Valette, Michel Desvignes, Rémy Prost:
Efficient multi-object segmentation of 3D medical images using clustering and graph cuts. ICIP 2011: 2149-2152
Coauthor Index
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