Academic literature on the topic 'Ensembles de Llgnes 3D'
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Journal articles on the topic "Ensembles de Llgnes 3D":
Krishnamoorthy, Kothandam, and Cynthia G. Zoski. "Fabrication of 3D Gold Nanoelectrode Ensembles by Chemical Etching." Analytical Chemistry 77, no. 15 (August 2005): 5068–71. http://dx.doi.org/10.1021/ac050604r.
Spettl, Aaron, Thomas Werz, Carl E. Krill, and Volker Schmidt. "Parametric Representation of 3D Grain Ensembles in Polycrystalline Microstructures." Journal of Statistical Physics 154, no. 4 (December 3, 2013): 913–28. http://dx.doi.org/10.1007/s10955-013-0893-7.
CAO, Li-Xin, Pei-Sheng YAN, Ke-Ning SUN, and W. Donald KIRK. "Development and Evaluation of Gold 3D Cylindrical Nanoelectrode Ensembles." Chinese Journal of Chemistry 25, no. 11 (November 2007): 1754–57. http://dx.doi.org/10.1002/cjoc.200790324.
Gangaraju, Deepa, Sridhar Vadahanambi, and Hyun Park. "Correction: 3D graphene–carbon nanotube–nickel ensembles as anodes in sodium-ion batteries." RSC Advances 6, no. 106 (2016): 104665. http://dx.doi.org/10.1039/c6ra90109c.
De Leo, Manuela, Alexander Kuhn, and Paolo Ugo. "3D-Ensembles of Gold Nanowires: Preparation, Characterization and Electroanalytical Peculiarities." Electroanalysis 19, no. 2-3 (January 2007): 227–36. http://dx.doi.org/10.1002/elan.200603724.
Di Pierro, Michele, Ryan R. Cheng, Erez Lieberman Aiden, Peter G. Wolynes, and José N. Onuchic. "De novo prediction of human chromosome structures: Epigenetic marking patterns encode genome architecture." Proceedings of the National Academy of Sciences 114, no. 46 (October 31, 2017): 12126–31. http://dx.doi.org/10.1073/pnas.1714980114.
Heinrich, Julian, Michael Krone, Seán I. O'Donoghue, and Daniel Weiskopf. "Visualising intrinsic disorder and conformational variation in protein ensembles." Faraday Discuss. 169 (2014): 179–93. http://dx.doi.org/10.1039/c3fd00138e.
Wang, Shuang, Xiaolin Xie, Zhi Chen, Ningning Ma, Xue Zhang, Kai Li, Chao Teng, Yonggang Ke, and Ye Tian. "DNA-Grafted 3D Superlattice Self-Assembly." International Journal of Molecular Sciences 22, no. 14 (July 15, 2021): 7558. http://dx.doi.org/10.3390/ijms22147558.
Ayyer, Kartik, P. Lourdu Xavier, Johan Bielecki, Zhou Shen, Benedikt J. Daurer, Amit K. Samanta, Salah Awel, et al. "3D diffractive imaging of nanoparticle ensembles using an x-ray laser." Optica 8, no. 1 (December 24, 2020): 15. http://dx.doi.org/10.1364/optica.410851.
Renner, Steffen, Mirko Hechenberger, Tobias Noeske, Alexander Böcker, Claudia Jatzke, Michael Schmuker, Christopher G Parsons, Tanja Weil, and Gisbert Schneider. "Suche nach Wirkstoff-Grundgerüsten mit 3D-Pharmakophorhypothesen und Ensembles neuronaler Netze." Angewandte Chemie 119, no. 28 (July 9, 2007): 5432–35. http://dx.doi.org/10.1002/ange.200604125.
Dissertations / Theses on the topic "Ensembles de Llgnes 3D":
Schertzer, Jérémie. "Exploiting modern GPUs architecture for real-time rendering of massive line sets." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT037.
In this thesis, we consider massive line sets generated from brain tractograms. They describe neural connections that are represented with millions of poly-line fibers, summing up to billions of segments. Thanks to the two-staged mesh shader pipeline, we build a tractogram renderer surpassing state-of-the-art performances by two orders of magnitude.Our performances come from fiblets: a compressed representation of segment blocks. By combining temporal coherence and morphological dilation on the z-buffer, we define a fast occlusion culling test for fiblets. Thanks to our heavily-optimized parallel decompression algorithm, surviving fiblets are swiftly synthesized to poly-lines. We also showcase how our fiblet pipeline speeds-up advanced tractogram interaction features.For the general case of line rendering, we propose morphological marching: a screen-space technique rendering custom-width tubes from the thin rasterized lines of the G-buffer. By approximating a tube as the union of spheres densely distributed along its axes, each sphere shading each pixel is retrieved relying on a multi-pass neighborhood propagation filter. Accelerated by the compute pipeline, we reach real-time performances for the rendering of depth-dependant wide lines.To conclude our work, we implement a virtual reality prototype combining fiblets and morphological marching. It makes possible for the first time the immersive visualization of huge tractograms with fast shading of thick fibers, thus paving the way for diverse perspectives
Tobor, Ireneusz. "Utilisation des surfels dans le rendu des surfaces 3D." Bordeaux 1, 2002. http://www.theses.fr/2002BOR12640.
Legland, David. "Morphométrie de structures cellulaires biologiques partiellement observées par imagerie 3D." Paris 5, 2005. http://www.theses.fr/2005PA05S039.
This work presents methods to characterize morphology of 3D cellular structures partially observed by discrete images, as well as their application to morphometric description of tomato pericarp. An estimation method of geometric properties of a material was developed, in the particular case where the sampling probability of pixels is not uniform inside the image. The principle is to express locally the morphological parameters of the structure, and te weight each contribution by the inverse of its sampling probability. We present also the computation of sampling prohabilities in 3D images acquired perpendicularly to a smooth surface, based on simple regularity assumptions. In order te compare the quality of information obtained with 2D and 3D images, the estimation of surface density in vertical sections was applied to discrete images. Finally we present an integramed approach to characterize a cellular material, the tomato pericarp. This approach comprises the acquisition of images using confocal microscopy, image processing to segment biological cells, and the application of estimators we developed. We could characterize the morphologv of tomato pericarp cells globally and as a function of depth in the pericarp
Lee, Jinho. "Synthesis and analysis of human faces using multi-view, multi-illumination image ensembles." Columbus, Ohio : Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1133366279.
Bosnjak, Seminario Antonio. "Segmentation et modélisation dynamiques : application à la reconstruction 3D d'images échocardiographiques." Rennes 1, 2003. http://www.theses.fr/2003REN10018.
Al, Moussawi Ali. "Reconstruction 3D de vaisseaux sanguins." Electronic Thesis or Diss., Toulon, 2014. http://www.theses.fr/2014TOUL0014.
This work concerns the 3D reconstruction of blood vessels from a limited number of 2D transversal cuts obtained from scanners. If data are missing, a coherentreconstruction with a vessel network is obtained. This approach allows to limit human interventions in processing images of 2D transversal cuts. Knowing that the images used are obtained by scanner, the difficulty is to connect the blood vessels between some widely spaced cuts in order to produce the graph corresponding to the network of vessels. We identify the vessels on each trnasversal cut as a mass to be transported, we construct a graph solution of a branched transport problem. At this stage, we are able to reconstruct the 3D geometry by using the 2D Level Set Functions given by the transversal cuts and the graph information. The 3D geometry of blood vessels is represented by the data of the Level Set function defined at any point of the space whose 0-level corresponds to the vessel walls. The resulting geometry is usually integrated in a fluid mechanic code solving the incompressible Navier-Stokes equations on a Cartesian grid strictly included in a reconstructed geometry. The inadequacy of the mesh with the interface of the geometry is overcomed thanks to a modified boundary condition leading to an accurate computation of the constraints to the walls
Deschamps, Thomas. "Extraction de Courbes et Surfaces par Methodes de Chemins Minimaux et Ensembles de Niveaux. Applications en Imagerie Medicale 3D." Phd thesis, Université Paris Dauphine - Paris IX, 2001. http://tel.archives-ouvertes.fr/tel-00003335.
Deschamps, Thomas. "Extractions de courbes et surfaces par méthodes de chemins minimaux et ensembles de niveaux : applications en imagerie médicale 3D." Paris 9, 2001. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=2001PA090038.
In this thesis, we focus on the use of minimal path techniques and Level-Sets active contours, for curve and shape extraction in 3D medical images. In the first part of thesis, we worked upon the reduction of the computing cost for path extraction. We proposed several path extraction algorithms for 2D as well as for 3D images. And we applied those techniques to real medical imaging problems, in particular automatic path extraction for virtual endoscopy and interactive and real-time path extraction with on-the-fly training. In the second part, we focused on surface extraction. We developed a fast algorithm for pre-segmentation, on the basis of the minimal path formalism of the first part. We designed a collaborative method between this algorithm and a Level-Sets formulation of the problem, which advantage is to be able to handle any topological change of the surfaces segmented. This method was tested on different segmentation problems, such as brain aneurysms and colon polyps, where target is accuracy of the segmentation, and enhanced visualization of the pathologies. In the last part of the thesis, we mixed results from previous part to design a specific method for tubular shape description and segmentation, where description is the extraction of the underlying skeleton of our objects. The skeletons are trajectories inside our objects, which are used as well for virtual inspection of pathologies, as for accurate definition of cross-sections of our tubular objects. In the last chapter we show applications of our algorithms to the extraction of branching structures. We study the vascular tree extraction in contrast enhanced medical images, and we apply the same principle to the more complex problem of the bronchial tree extraction in multi-slice CT scanners of the lungs
Al, Moussawi Ali. "Reconstruction 3D de vaisseaux sanguins." Thesis, Toulon, 2014. http://www.theses.fr/2014TOUL0014/document.
This work concerns the 3D reconstruction of blood vessels from a limited number of 2D transversal cuts obtained from scanners. If data are missing, a coherentreconstruction with a vessel network is obtained. This approach allows to limit human interventions in processing images of 2D transversal cuts. Knowing that the images used are obtained by scanner, the difficulty is to connect the blood vessels between some widely spaced cuts in order to produce the graph corresponding to the network of vessels. We identify the vessels on each trnasversal cut as a mass to be transported, we construct a graph solution of a branched transport problem. At this stage, we are able to reconstruct the 3D geometry by using the 2D Level Set Functions given by the transversal cuts and the graph information. The 3D geometry of blood vessels is represented by the data of the Level Set function defined at any point of the space whose 0-level corresponds to the vessel walls. The resulting geometry is usually integrated in a fluid mechanic code solving the incompressible Navier-Stokes equations on a Cartesian grid strictly included in a reconstructed geometry. The inadequacy of the mesh with the interface of the geometry is overcomed thanks to a modified boundary condition leading to an accurate computation of the constraints to the walls
Abrishami-Moghaddam, Hamid. "Segmentation d'images multidimensionnelles d'IRM cardiaque pour l'étude du comportement dynamique et la reconstruction 3D du cœur." Compiègne, 1998. http://www.theses.fr/1998COMP1107.
Book chapters on the topic "Ensembles de Llgnes 3D":
Kadoury, Samuel, Hubert Labelle, and Stefan Parent. "3D Spine Reconstruction of Postoperative Patients from Multi-level Manifold Ensembles." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 361–68. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10443-0_46.
Agudo, Antonio, and Francesc Moreno-Noguer. "Recovering Pose and 3D Deformable Shape from Multi-instance Image Ensembles." In Computer Vision – ACCV 2016, 291–307. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54190-7_18.
González, S. Rosas, I. Zemmoura, and C. Tauber. "3D Brain Tumor Segmentation and Survival Prediction Using Ensembles of Convolutional Neural Networks." In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 241–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72087-2_21.
Gessert, Nils, and Alexander Schlaefer. "Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs." In Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 375–83. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39074-7_39.
Riddershom Bargum, Anders, Oddur Ingi Kristjánsson, Péter Babó, Rasmus Eske Waage Nielsen, Simon Rostami Mosen, and Stefania Serafin. "Spatial Audio Mixing in Virtual Reality." In Sonic Interactions in Virtual Environments, 269–302. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04021-4_9.
Roy, Rohit, Ainan Geng, Supriya Pratihar, Honglue Shi, and Hashim M. Al-Hashimi. "RNA Conformational Ensembles from NMR Residual Dipolar Couplings." In Residual Dipolar Couplings, 206–51. Royal Society of Chemistry, 2024. http://dx.doi.org/10.1039/bk9781839167898-00206.
Conference papers on the topic "Ensembles de Llgnes 3D":
Demir, Ismail, Johannes Kehrer, and Rudiger Westermann. "Screen-space silhouettes for visualizing ensembles of 3D isosurfaces." In 2016 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2016. http://dx.doi.org/10.1109/pacificvis.2016.7465271.
Chirita, Marius, Mihaela Luminita Kiss, Radu Banica, and Adrian Ieta. "Obtaining of 3D nanostructured α-Fe2O3/Ag nanosheets ensembles." In HIGH ENERGY GAMMA-RAY ASTRONOMY: 6th International Meeting on High Energy Gamma-Ray Astronomy. Author(s), 2017. http://dx.doi.org/10.1063/1.4972370.
Yao, Zhiyang, Yongshun Xiao, and Zhiqiang Chen. "3D Multi-focus Origin Ensembles Reconstruction Method for Compton Camera Imaging." In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 2017. http://dx.doi.org/10.1109/nssmic.2017.8532960.
Movshovitz-Attias, Yair, Yaser Sheikh, Vishnu Naresh Boddeti, and Zijun Wei. "3D Pose-by-Detection of Vehicles via Discriminatively Reduced Ensembles of Correlation Filters." In British Machine Vision Conference 2014. British Machine Vision Association, 2014. http://dx.doi.org/10.5244/c.28.53.
McKeon, Robert, and Trina Russ. "Employing region ensembles in a statistical learning framework for robust 3D facial recognition." In 2010 IEEE Fourth International Conference On Biometrics: Theory, Applications And Systems (BTAS). IEEE, 2010. http://dx.doi.org/10.1109/btas.2010.5634526.
Wall, Julie, Ebroul Izquierdo, and Qianni Zhang. "Fuzzy ensembles for embedding adaptive behaviours in semi-autonomous avatars in 3D virtual worlds." In 2013 18th International Conference on Digital Signal Processing (DSP). IEEE, 2013. http://dx.doi.org/10.1109/icdsp.2013.6622818.
Rózsa, Balázs, Gergely Szalay, Katalin Ócsai, Dominika Nagy, Andrius Plauška, Domonkos Pinke, Csaba Csupernyák, Áron Szepesi, and Gergely Katona. "Using 3D Optical Photostimulation Induced Artificial Perception to Investigate Neuronal Ensembles Coding Visual Information." In Optics and the Brain. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/brain.2021.bm1b.2.
Brkić, Karla, Siniša Šegvić, Zoran Kalafatić, Aitor Aldomà, and Markus Vincze. "Recognizing 3D Objects from a Limited Number of Views using Temporal Ensembles of Shape Functions." In Croatian Computer Vision Workshop 2014. University of Zagreb Faculty of Electrical Engineering and Computing, 2014. http://dx.doi.org/10.20532/ccvw.2014.0013.
Zhe Chen and Kazutaka Takahashi. "Sparse Bayesian inference methods for decoding 3D reach and grasp kinematics and joint angles with primary motor cortical ensembles." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6610902.
Kruggel-Emden, Harald, Erdem Simsek, Siegmar Wirtz, and Viktor Scherer. "A Numerical Study of Particle Flow and Mixing on Conveying Equipment in Two and Three Dimensions by the Discrete Element Method (DEM)." In ASME 2006 Pressure Vessels and Piping/ICPVT-11 Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/pvp2006-icpvt-11-93367.
Reports on the topic "Ensembles de Llgnes 3D":
Crossno, Patricia. Slycat Enables Synchronized 3D Comparison of Surface Mesh Ensembles. Office of Scientific and Technical Information (OSTI), December 2020. http://dx.doi.org/10.2172/1734591.