Efficient multi-object segmentation of 3D medical images using clustering and graph cuts. - Razmig Kéchichian; Sébastien Valette; Michel Desvignes; Rémy Prost (ICIP, 2011)

A web interface for 3D visualization and interactive segmentation of medical images. - Hector Jacinto; Razmig Kéchichian; Michel Desvignes; Rémy Prost; Sébastien Valette (Web3D, 2012)

Shortest-Path Constraints for 3D Multiobject Semiautomatic Segmentation Via Clustering and Graph Cut. - Razmig Kéchichian; Sébastien Valette; Michel Desvignes; Rémy Prost (IEEE Trans. Image Process., 2013)

Positioning of anatomical landmarks in orthopedics by MESH registration. - Hector Jacinto; Razmig Kéchichian; Sébastien Valette; Rémy Prost (ICIP, 2014)

Image denoising using contextual modeling of curvelet coefficients. - Razmig Kéchichian; Carole Amiot; Catherine Girard; Jérémie Pescatore; Jocelyn Chanussot; Michel Desvignes (ICIP, 2014)

New data model for graph-cut segmentation: Application to automatic melanoma delineation. - Razmig Kéchichian; Hao Gong; Marinette Revenu; Olivier Lézoray; Michel Desvignes (ICIP, 2014)

Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases. - Razmig Kéchichian; Sébastien Valette; Michaël Sdika; Michel Desvignes (MCV, 2014)

Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks. - 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; et al. (IEEE Trans. Medical Imaging, 2016)

Automatic Multiorgan Segmentation Using Hierarchically Registered Probabilistic Atlases. - Razmig Kéchichian; Sébastien Valette; Michel Desvignes (Cloud-Based Benchmarking of Medical Image Analysis, 2017)

Automatic Multiorgan Segmentation via Multiscale Registration and Graph Cut. - Razmig Kéchichian; Sébastien Valette; Michel Desvignes (IEEE Trans. Medical Imaging, 2018)

Cycle GAN-Based Data Augmentation For Multi-Organ Detection In CT Images Via Yolo. - Maryam Hammami; Denis Friboulet; Razmig Kéchichian (ICIP, 2020)

Data augmentation for multi-organ detection in medical images. - Maryam Hammami; Denis Friboulet; Razmig Kéchichian (IPTA, 2020)

Hubless keypoint-based 3D deformable groupwise registration. - Rémi Agier; Sébastien Valette; Razmig Kéchichian; Laurent Fanton; Rémy Prost (Medical Image Anal., 2020)

Local Surf-Based Keypoint Transfer Segmentation. - Antoine Bralet; Razmig Kéchichian; Sébastien Valette (ISBI, 2021)

Learning 3D medical image keypoint descriptors with the triplet loss. - Nicolas Loiseau-Witon; Razmig Kéchichian; Sébastien Valette; Adrien Bartoli (Int. J. Comput. Assist. Radiol. Surg., 2022)

SCONet: Convolutional Occupancy Networks for Multi-Organ Segmentation. - Maylis Jouvencel; Razmig Kéchichian; Julie Digne; Sébastien Valette (ISBI, 2025)