Nombre de documents

48

CV Nicolas GAC


Article dans une revue8 documents

  • Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra-Denis. A 3D Bayesian Computed Tomography Reconstruction Algorithm with Gauss-Markov-Potts Prior Model and its Application to Real Data. Fundamenta Informaticae, Polskie Towarzystwo Matematyczne, 2017, <10.3233/FI-2016-1520>. <hal-01569332>
  • Li Wang, Ali Mohammad-Djafari, Nicolas Gac. X-ray Computed Tomography using a sparsity enforcing prior model based on Haar transformation in a Bayesian framework. Fundamenta Informaticae XX, 2017, <10.3233/FI-2016-0000>. <hal-01490523>
  • Ning Chu, José Picheral, Ali Mohammad-Djafari, Nicolas Gac. A robust super-resolution approach with sparsity constraint in acoustic imaging. Applied Acoustics, Elsevier, 2014, 76, pp.197-208. <10.1016/j.apacoust.2013.08.007>. <hal-00794236v8>
  • Frédéric Schmidt, Irina Shatalina, Matthieu Kowalski, Nicolas Gac, Bortolino Saggin, et al.. Toward a numerical deshaker for PFS. Planetary and Space Science, Elsevier, 2014, 91, pp.45 - 51. <10.1016/j.pss.2013.11.012>. <hal-01102830>
  • Thomas Boulay, Nicolas Gac, Ali Mohammad-Djafari, Julien Lagoutte. Algorithmes de reconnaissance NCTR et parallélisation sur GPU. Traitement du Signal, Lavoisier, 2013, 6, pp.309-342. <10.3166/TS.30.309-342>. <hal-00930953>
  • M.L. Gallin-Martel, Yannick Grondin, Nicolas Gac, Y. Carcagno, L. Gallin-Martel, et al.. Experimental results and first 22Na source image reconstruction by two prototype modules in coincidence of a liquid xenon positron emission tomograph for small animal imaging. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Elsevier, 2012, 682, pp.66-74. <10.1016/j.nima.2012.04.006>. <hal-00703776>
  • Nicolas Gac, Stéphane Mancini, Michel Desvignes, Dominique Houzet. High Speed 3D Tomography on CPU, GPU, and FPGA. EURASIP Journal on Embedded Systems, SpringerOpen, 2008, 2008, http://www.hindawi.com/GetArticle.aspx?doi=10.1155/2008/930250. <10.1155/2008/930250>. <hal-00367321>
  • Stéphane Mancini, Nicolas Gac, Michel Desvignes, O. Bourrion, O. Rossetto. Application d'un cache 2D prédictif à l'accélération de la rétroprojection TEP 2D. Traitement du Signal, Lavoisier, 2006, 23, pp.Numéro 5-6. <hal-00122552>

Communication dans un congrès39 documents

  • Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra-Denis. Joint Reconstruction and Segmentation of Real 3D Data in Computed Tomography thanks to a Gauss-Markov-Potts Prior Model,. Fully 3D, Jun 2017, Xian, China. Fully3D 2017 Conference Proceedings, <http://www.fully3d.org/>. <hal-01569301>
  • Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra-Denis. A joint segmentation and reconstruction algorithm for 3D bayesian computed tomography using Gaus-Markov-Potts Prior Mode. ICASSP, Mar 2017, New Orleans, United States. <hal-01588443>
  • Li Wang, Ali Mohammad-Djafari, Nicolas Gac. Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform coefficients for X-ray CT image reconstruction. The 25th European Signal Processing Conference (EUSIPCO), Aug 2017, Kos island, Greece. <hal-01567875>
  • Li Wang, Nicolas Gac, Ali Mohammad-Djafari. Reconstruction 3D en tomographie à rayons X à l'aide d'un modèle a priori hiérarchique utilisant la transformation de Haar. Colloque GRETSI 2017, Sep 2017, Juan-Les-Pins, France. <hal-01567888>
  • Mircea Dumitru, Wang Li, Nicolas Gac, Ali Mohammad-Djafari. Performance comparison of Bayesian iterative algorithms for three classes of sparsity enforcing priors with application in computed tomography. 2017 IEEE International Conference on Image Processing, Sep 2017, Beijing, China. <hal-01568337>
  • Mircea Dumitru, Li Wang, Nicolas Gac, Ali Mohammad-Djafari. Comparaison des performances d’algorithmes itératifs bayésiens basés sur trois classes de modèles a priori parcimonieux appliqués à la reconstruction tomographique. GRETSI, Sep 2017, Juans-Les-Pins, France. <http://gretsi.fr/colloque2017/2016/10/bienvenue-au-gretsi-2017/>. <hal-01569349>
  • Mircea Dumitru, Li Wang, Ali Mohammad-Djafari, Nicolas Gac. Model selection in the sparsity context for inverse problems in Bayesian framework. 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Jul 2017, Jarinu, Brazil. <hal-01568318>
  • Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru. 3D X-ray Computed Tomography reconstruction using sparsity enforcing Hierarchical Model based on Haar Transformation. The 2017 International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Jun 2017, Xi'an, China. <hal-01490554>
  • Li Wang, Ali Mohammad-Djafari, Nicolas Gac. X-RAY COMPUTED TOMOGRAPHY SIMULTANEOUS IMAGE RECONSTRUCTION AND CONTOUR DETECTION USING A HIERARCHICAL MARKOVIAN MODEL. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2017, New Orleans, United States. <hal-01490508>
  • Mircea Dumitru, Nicolas Gac, Li Wang, Ali Mohammad-Djafari. Unsupervised sparsity enforcing iterative algorithms for 3D image reconstruction in X-ray computed tomography. The 2017 International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Jun 2017, Xi'an, China. <hal-01568325>
  • Maxime Martelli, Nicolas Gac, Alain Mérigot, Cyrille Enderli. 3D Tomography parallelization on FPGAs via HLS tools. DASIP, Sep 2017, dresden, Germany. <http://dasip2017.esit.rub.de>. <hal-01569320>
  • Ali Mohammad-Djafari, Li Wang, Nicolas Gac, Folkert Bleichrodt. A Student-t based sparsity enforcing hierarchical prior for linear inverse problems and its efficient Bayesian computation for 2D and 3D Computed Tomography. INTERNATIONAL TRAVELING WORKSHOP ON INTERACTIONS BETWEEN SPARSE MODELS AND TECHNOLOGY, Aug 2016, AALBORG, Denmark. INTERNATIONAL TRAVELING WORKSHOP ON INTERACTIONS BETWEEN SPARSE MODELS AND TECHNOLOGY, workshop proceedings of itwist <http://www.itwist16.es.aau.dk>. <hal-01403787>
  • Li Wang, Ali Mohammad-Djafari, Nicolas Gac. Bayesian X-ray Computed Tomography using a Three-level Hierarchical Prior Model. Maxent 2016, Jul 2016, Gent, Belgium. AIP Conference, July 2016, Gent. BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING (MAXENT 2016). <hal-01403790>
  • Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru. Computed tomography reconstruction based on a hierarchical model and variational Bayesian method. 41st IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shangai, China. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2016, <10.1109/ICASSP.2016.7471802>. <hal-01403784>
  • Nicolas Gac. Multi-GPU parallelization of 3D X-Ray Reconstruction. Meeting on Tomography and Applications Discrete Tomography and Image Reconstruction, Mar 2016, Milan, France. <https://www.edimphdconference.polimi.it/index.php/TAIR/TAIR2016>. <hal-01403793>
  • Ning Chu, Ali Mohammad-Djafari, Nicolas Gac, José Picheral. A hierarchical variational Bayesian approximation approach in acoustic imaging. AIP Conference Proceedings. Bayesian Inference and Maximum Entropy Methods in Science and Engineering - MaxEnt 2014, Sep 2014, Amboise, France. Proceedings of the 34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, 1641, pp.572 - 579, 2015, <10.1063/1.4906024>. <hal-01103784>
  • Ning Chu, Nicolas Gac, José Picheral, Ali Mohammad-Djafari. Convolution Models with Shift-invariant kernel based on Matlab-GPU platform for Fast Acoustic Imaging. ISAV 2014, Dec 2014, Tehran, Iran. Proceedings of the 4th International Conference on Acoustics and Vibration, 2014. <hal-01103819>
  • Ning Chu, Ali Mohammad-Djafari, Nicolas Gac, José Picheral. A variational Bayesian approximation approach via a sparsity enforcing prior in acoustic imaging. WIO 2014, Jul 2014, Neuchâtel, Switzerland. Proceedings of the 2014 13th Workshop on Information Optics, pp.1 - 4, 2014, <10.1109/WIO.2014.6933297>. <hal-01103751>
  • Ning Chu, Nicolas Gac, José Picheral, Ali Mohammad-Djafari. 2D CONVOLUTION MODEL USING (IN)VARIANT KERNELS FOR FAST ACOUSTIC IMAGING. BEBEC 2014, Feb 2014, Berlin, Germany. Proceedings of the Berlin Beamforming Conference, 15 p., 2014. <hal-01083451>
  • Li Wang, Nicolas Gac, Ali Mohammad-Djafari. Bayesian 3D X-ray computed tomography image reconstruction with a scaled Gaussian mixture prior model . MaXent 2014, Sep 2014, Amboise, France. AIP conference proceedings, 1641, pp.556-563, 2015, BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING (MAXENT 2014). <10.1063/1.4906022>. <hal-01338706>
  • Long Chen, Thomas Rodet, Nicolas Gac. A simple and efficient super-short-scan algorithm of fan-beam reconstruction for multiple circular trajectories: solution towards the truncated data. The Third International Conference on Image Formation in X-Ray Computed Tomography , Jun 2014, Salt Lake City, United States. The Third International Conference on Image Formation in X-Ray Computed Tomography Proceedings, pp.212-215, <http://www.ucair.med.utah.edu/CTmeeting/>. <hal-01403846>
  • Olivier Schwander, José Picheral, Nicolas Gac, Ali-Mohammad Djafari, Daniel Blacodon. Aero-acoustics source separation with sparsity inducing priors in the frequency domain. MaxEnt 2014, Sep 2014, Amboise, France. Proceedings of the 34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, 1641, pp.422 - 431, 2014, <10.1063/1.4906006>. <hal-01103779>
  • Ning Chu, Ali Mohammad-Djafari, José Picheral, Nicolas Gac. An efficient variational Bayesian inference approach via Studient's-t priors for acoustic imaging in colored noises. POMA - ICA 2013, Jun 2013, Montreal, Canada. 19, 055031 (9p.), 2013. <hal-00865786v2>
  • Long Chen, Thomas Rodet, Nicolas Gac. A penalized weighted least-squares image reconstruction based on scatter correction methods for X-ray CT. 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct 2013, Seoul, South Korea. 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC) pp.2, 2013. <hal-00843508>
  • I. Shatalina, Frederic Schmidt, B. Saggin, Nicolas Gac, M. Kowalski, et al.. Analytical model and spectral correction of vibration effects on Fourier transform spectrometer. SPIE Remote sensing 2013, Sep 2013, Dresden, Germany. 8890, pp.88900S-88900S-9, 2013, Remote Sensing of Clouds and the Atmosphere XVIII; and Optics in Atmospheric Propagation and Adaptive Systems XVI. <10.1117/12.2028632>. <hal-00930996>
  • Thomas Boulay, Ali Mohammad-Djafari, Nicolas Gac, Julien Lagoutte. High-Dimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model. Geometric Science of Information, Aug 2013, Paris, France. Part XXIII, pp.829-836, 2013, <10.1007/978-3-642-40020-9_93>. <hal-00931023>
  • Thomas Boulay, Julien Lagoutte, Ali Mohammad-Djafari, Nicolas Gac. A Fuzzy-Logic based non cooperative target recognition. Signal Image Technology and Internet Based Systems 2012, Nov 2012, Naples, Italy. pp.410-145, 2012, <10.1109/SITIS.2012.66>. <hal-00778560>
  • Thomas Boulay, Nicolas Gac, Ali Mohammad-Djafari, Julien Lagoutte. Algorithmes de Reconnaissance Non Coopérative de Cibles et implémentation sur GPU. GRETSI, Sep 2011, Bordeaux, France. pp.ID146, 2011. <hal-00617103>
  • Nicolas Gac, Alexandre Vabre, Ali Mohammad-Djafari, Fanny Buyens. Accélération sur serveur multi-GPUs de la reconstruction 3D d'une mousse de nickel par méthodes itératives algébriques régularisées. 23ème colloque GRETSI sur le traitement du signal et des images, Sep 2011, Bordeaux, France. pp.id455, 2011. <hal-00616941>
  • Nicolas Gac, Alexandre Vabre, Ali Mohammad-Djafari. Multi GPU parallelization of 3D bayesian CT algorithm and its application on real foam reonconstruction with incomplete data set. Forum on recent developments in Volume Reconstruction techniques applied to 3D fluid and solid mechanics, Nov 2011, Poitiers, France. pp.35-38, 2011. <hal-00658653>
  • Nicolas Gac, Alexandre Vabre, Ali Mohammad-Djafari, Asier Rabanal, Fanny Buyens. GPU implementation of a 3D bayesian CT algorithm and its application on real foam reconstruction. The First International Conference on Image Formation in X-Ray Computed Tomography, Jun 2010, Salt Lake City, United States. http://www.ucair.med.utah.edu/CTmeeting/ProceedingsCTMeeting2010.pdf, pp.151-155, 2010. <hal-00504740v2>
  • Nicolas Gac, Alexandre Vabre, Ali Mohammad-Djafari, Fanny Buyens, Samuel Legoupil. Parallélisation sur GPU d'un algorithme de reconstruction 3D bayésien en tomographie X.. Développement d'applications de calcul intensif sur carte graphique pour l'imagerie moléculaire, May 2009, Obernai, France. <hal-00504759>
  • Nicolas Gac, Stéphane Mancini, Michel Desvignes, Florian De Boissieu, Anthonin Reilhac. A Hardware Projector/Backprojector Pair for 3D PET Reconstruction. SPIE Medical Imaging, Feb 2008, San Diego, United States. SPIE, 6913, pp.69132O, 2008, Physics of Medical Imaging; <10.1117/12.770588>. <hal-00232621>
  • Nicolas Gac, Stéphane Mancini, Michel Desvignes, Dominique Houzet. Algorithm Architecture Adequacy for High Speed 3D Tomography. Workshop on Design and Architectures for Signal and Image Processing (DASIP), Nov 2007, Grenoble, France. <hal-00175732>
  • Nicolas Gac, Stéphane Mancini, Michel Desvignes. Hardware/software 2D-3D backprojection on a SoPC platform. ACM Symposium on Applied Computing, Apr 2006, Dijon, France. ISBN:1-59593-108-2, pp.222 - 228, 2006. <hal-00102903>
  • Stéphane Mancini, Nicolas Gac, Michel Desvignes. 2D backprojection on a SOPC platform : first results. 13 ème Forum Recherche en Génie Biologique et Médica, 2005, Nancy, France. 2005. <hal-00102911>
  • Stéphane Mancini, Nicolas Gac, Michel Desvignes. Etude d'un cache 2D adaptatif et prédictif pour le traitement d'image. Journées Francophones en Adéquation Algorithme Architecture, Jan 2005, Dijon, France. pp.JFAAA 2005, 2005. <hal-00102913>
  • Stéphane Mancini, Nicolas Gac, Michel Desvignes. Rétroprojection 2D sur plateforme SOPC. GRETSI'05, Sep 2005, Belgique. pp.783-786, 2005. <hal-00102907>
  • Michel Vacher, Dan Istrate, Jean-François Serignat, Nicolas Gac. Detection and Speech/Sound Segmentation in a Smart Room Environment. Trends in Speech Technology, The 3rd International Conference on Speech Technology and Human-Computer Dialogue, IEEE, SpeD2005, May 2005, Cluj, Romania. <hal-01092602>

Thèse1 document

  • Nicolas Gac. Adéquation Algorithme Architecture pour la reconstruction 3D en imagerie médicale TEP. Traitement du signal et de l'image. Institut National Polytechnique de Grenoble - INPG, 2008. Français. <tel-00330365>