Razmig Kéchichian

18 papers B 5Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
High-Fidelity 3D Tooth Reconstruction by Fusing Intraoral Scans and CBCT Data via a Deep Implicit Representation.
CoRR
Yi Zhu, Razmig Kéchichian, Raphaël Richert, Satoshi Ikehata, Sébastien Valette
2025 — conf
SCONet: Convolutional Occupancy Networks for Multi-Organ Segmentation.
ISBI
Maylis Jouvencel, Razmig Kéchichian, Julie Digne, Sébastien Valette
2022 J jnl
Learning 3D medical image keypoint descriptors with the triplet loss.
Int. J. Comput. Assist. Radiol. Surg.
Nicolas Loiseau-Witon, Razmig Kéchichian, Sébastien Valette, Adrien Bartoli
2021 — conf
Local Surf-Based Keypoint Transfer Segmentation.
ISBI
Antoine Bralet, Razmig Kéchichian, Sébastien Valette
2020 B conf
Cycle GAN-Based Data Augmentation For Multi-Organ Detection In CT Images Via Yolo.
ICIP
Maryam Hammami, Denis Friboulet, Razmig Kéchichian
2020 — conf
Data augmentation for multi-organ detection in medical images.
IPTA
Maryam Hammami, Denis Friboulet, Razmig Kéchichian
2020 J jnl
Hubless keypoint-based 3D deformable groupwise registration.
Medical Image Anal.
Rémi Agier, Sébastien Valette, Razmig Kéchichian, Laurent Fanton, Rémy Prost
2018 J jnl
Automatic Multiorgan Segmentation via Multiscale Registration and Graph Cut.
IEEE Trans. Medical Imaging
Razmig Kéchichian, Sébastien Valette, Michel Desvignes
2018 J jnl
Hubless keypoint-based 3D deformable groupwise registration.
CoRR
Rémi Agier, Sébastien Valette, Razmig Kéchichian, Laurent Fanton, Rémy Prost
2017 — ch.
Automatic Multiorgan Segmentation Using Hierarchically Registered Probabilistic Atlases.
Cloud-Based Benchmarking of Medical Image Analysis
Razmig Kéchichian, Sébastien Valette, Michel Desvignes
2016 J jnl
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.
IEEE Trans. Medical Imaging
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
2014 — conf
Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases.
MCV
Razmig Kéchichian, Sébastien Valette, Michaël Sdika, Michel Desvignes
2014 B conf
Image denoising using contextual modeling of curvelet coefficients.
ICIP
Razmig Kéchichian, Carole Amiot, Catherine Girard, Jérémie Pescatore, Jocelyn Chanussot, Michel Desvignes
2014 B conf
New data model for graph-cut segmentation: Application to automatic melanoma delineation.
ICIP
Razmig Kéchichian, Hao Gong, Marinette Revenu, Olivier Lézoray, Michel Desvignes
2014 B conf
Positioning of anatomical landmarks in orthopedics by MESH registration.
ICIP
Hector Jacinto, Razmig Kéchichian, Sébastien Valette, Rémy Prost
2013 J jnl
Shortest-Path Constraints for 3D Multiobject Semiautomatic Segmentation Via Clustering and Graph Cut.
IEEE Trans. Image Process.
Razmig Kéchichian, Sébastien Valette, Michel Desvignes, Rémy Prost
2012 — conf
A web interface for 3D visualization and interactive segmentation of medical images.
Web3D
Hector Jacinto, Razmig Kéchichian, Michel Desvignes, Rémy Prost, Sébastien Valette
2011 B conf
Efficient multi-object segmentation of 3D medical images using clustering and graph cuts.
ICIP
Razmig Kéchichian, Sébastien Valette, Michel Desvignes, Rémy Prost