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Thierry Cresson
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2020 – today
- 2024
- [c23]Pejman Hashemibakhtiar, Thierry Cresson, Marie-Lyne Nault, Jacques A. de Guise, Carlos Vázquez:
2D/3D Reconstruction of The Distal Tibiofibular Joint from Biplanar Radiographs Using Deep Learning Registration and Statistical Shape and Intensity Model. ISBI 2024: 1-4 - 2023
- [j6]Roseline Olory Agomma
, Thierry Cresson, Jacques A. de Guise
Automatic lower limb bone segmentation in radiographs with different orientations and fields of view based on a contextual network. Int. J. Comput. Assist. Radiol. Surg. 18(4): 641-651 (2023) - [j5]Florian Beguet, Thierry Cresson, Matthieu Schmittbuhl, Cédric Doucet, David Camirand, Philippe Harris
Semi-automatic 3D reconstruction of middle and inner ear structures using CBCT. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(5): 2006-2019 (2023) - [j4]Benjamin Aubert
X-Ray to DRR Images Translation for Efficient Multiple Objects Similarity Measures in Deformable Model 3D/2D Registration. IEEE Trans. Medical Imaging 42(4): 897-909 (2023) - [c22]Pejman Hashemibakhtiar, Thierry Cresson, Jacques A. de Guise, Carlos Vázquez:
Dense Point-to-Point Correspondences Between Genus-Zero Shapes Using Cubic Mapping and Horn-Schunck Optical Flow. VISIGRAPP (1: GRAPP) 2023: 196-205 - 2022
- [c21]Manon Ansart, Thierry Cresson, Benjamin Aubert
Statistical shape model of the spine fitting study: impact of clipping the latent representation. Image Processing 2022 - 2021
- [c20]Nahid Babazadeh Khameneh, Carlos Vázquez, Thierry Cresson, Frédéric Lavoie, Jacques A. de Guise:
Highly Accurate Automated Patient-Specific 3D Bone Pose and Scale Estimation Using Bi-Planar Pose-Invariant Patches in a CNN-Based 3D/2D Registration Framework. ISBI 2021: 681-684
2010 – 2019
- 2019
- [j3]Benjamin Aubert
Toward Automated 3D Spine Reconstruction from Biplanar Radiographs Using CNN for Statistical Spine Model Fitting. IEEE Trans. Medical Imaging 38(12): 2796-2806 (2019) - [c19]Ted Julien Tchinde Fotsin, Carlos Vázquez, Thierry Cresson, Jacques A. de Guise:
Shape, Pose and Density Statistical Model for 3D Reconstruction of Articulated Structures from X-Ray Images. EMBC 2019: 2748-2751 - [c18]Amiel Allab, Carlos Vázquez, Thierry Cresson, Jacques A. de Guise:
Calibration of Stereo Radiography System for Radiostereometric Analysis Application. EMBC 2019: 4859-4862 - [c17]Christine Bakhous, Carlos Vázquez, Thierry Cresson, Stefan Parent, Jacques A. de Guise:
A Fully Automatic 3D Reconstruction of Scoliotic Spine from Biplanar Radiographs in a Suspension Framework. ISBI 2019: 1162-1165 - [c16]Roseline Olory Agomma
Detection And Identification Of Lower-Limb Bones In Biplanar X-RAY Images With Arbitrary Field Of View And Various Patient Orientations. ISBI 2019: 1174-1177 - 2018
- [c15]Florian Beguet, Jean-Luc Mari, Thierry Cresson, Matthieu Schmittbuhl, Jacques A. de Guise:
Automatic Extraction of Complex 3D Structures Application to the Inner Ear Segmentation from Cone Beam CT Digital Volumes. 3DOR@Eurographics 2018: 17-20 - [c14]Christine Bakhous, Benjamin Aubert
Automatic pedicles detection using convolutional neural network in a 3D spine reconstruction from biplanar radiographs. Computer-Aided Diagnosis 2018: 105750L - [c13]Roseline Olory Agomma
Automatic detection of anatomical regions in frontal x-ray images: comparing convolutional neural networks to random forest. Computer-Aided Diagnosis 2018: 105753E - 2017
- [j2]Gabriel Chartrand
Liver Segmentation on CT and MR Using Laplacian Mesh Optimization. IEEE Trans. Biomed. Eng. 64(9): 2110-2121 (2017) - [c12]Benjamin Aubert
Convolutional Neural Network and In-Painting Techniques for the Automatic Assessment of Scoliotic Spine Surgery from Biplanar Radiographs. MICCAI (2) 2017: 691-699 - 2016
- [c11]Lulu Zhou, Ramnada Chav, Thierry Cresson, Gabriel Chartrand, Jacques A. de Guise:
3D knee segmentation based on three MRI sequences from different planes. EMBC 2016: 1042-1045 - [c10]Pierre Laurent, Thierry Cresson, Carlos Vázquez
A multi-criteria evaluation platform for segmentation algorithms. EMBC 2016: 6441-6444 - [c9]Robert Korez, Benjamin Aubert
Sparse and multi-object pose+shape modeling of the three-dimensional scoliotic spine. ISBI 2016: 225-228 - [c8]Benjamin Aubert
Automatic spine and pelvis detection in frontal X-rays using deep neural networks for patch displacement learning. ISBI 2016: 1426-1429 - 2015
- [c7]Fatma Ouertani, Carlos Vázquez
Simultaneous extraction of two adjacent bony structures in x-ray images: Application to hip joint segmentation. ICIP 2015: 4555-4559 - [c6]Gabriel Chartrand, An Tang
Live minimal path for interactive segmentation of medical images. Image Processing 2015: 94133U - 2014
- [c5]Gabriel Chartrand, Thierry Cresson, Ramnada Chav, Akshat Gotra, An Tang, Jacques A. de Guise:
SEMI-automated liver CT segmentation using Laplacian meshes. ISBI 2014: 641-644 - [c4]Ramnada Chav, Thierry Cresson, Gabriel Chartrand, Claude Kauffmann, Gilles Soulez, Jacques A. de Guise:
Kidney segmentation from a single prior shape in MRI. ISBI 2014: 818-821 - 2012
- [c3]Pierre-Yves Lagacé, Thierry Cresson, Nicola Hagemeister, Fabien Billuart, Xavier Ohl
3D reconstruction of the scapula from biplanar radiographs. Image Processing 2012: 83143L - 2010
- [c2]Thierry Cresson, Dominic Branchaud, Ramnada Chav, Benoit Godbout, Jacques A. de Guise
3D shape reconstruction of bone from two x-ray images using 2D/3D non-rigid registration based on moving least-squares deformation. Image Processing 2010: 76230F
2000 – 2009
- 2009
- [c1]Ramnada Chav, Thierry Cresson, Claude Kauffmann, Jacques A. de Guise
Method for fast and accurate segmentation processing from prior shape: application to femoral head segmentation on x-ray images. Image Processing 2009: 72594Y - 2008
- [j1]Jean-José Jacq, Thierry Cresson, Valérie Burdin, Christian Roux:
Performing Accurate Joint Kinematics From 3-D In Vivo Image Sequences Through Consensus-Driven Simultaneous Registration. IEEE Trans. Biomed. Eng. 55(5): 1620-1633 (2008)
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last updated on 2024-11-28 20:25 CET by the dblp team
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