968 zoekresultaten voor “combined reconstruction methods” in de Publieke website
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Reconstruction Methods for Combined HAADF-STEM and EDS Tomography
The research in this thesis is focused on tomographic reconstruction based on two imaging modalities in electron microscopy.
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Filter-based reconstruction methods for tomography
Promotor: K.J. Batenburg
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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Efficient and Automatic Tomographic Reconstruction Algorithms
In this thesis we present several methods to automate tomographic reconstruction algorithms and several novel tomographic reconstruction algorithms with the focus on being easily applicable and efficient to use.
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Real-time tomographic reconstruction
With tomography it is possible to reconstruct the interior of an object without destroying.
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Combined professorship Intercultural Performing Arts
Geesteswetenschappen
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Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
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Recommended weighting methods
The project falls in the context of the EU Thematic Strategy on the Sustainable Use of Natural Resources (COM(2005)670). The Institute for Environment and Resources (IES) of the Joint Research Centre (JRC) has developed three sets of decoupling indicators. Such indicators require the definition of a…
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Nonparametric Bayesian Methods in Robotic Vision
In this dissertation non-parametric Bayesian methods are used in the application of robotic vision.
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Leiden Law Methods Portal
Aan de Leiden Law School is een Engelstalige methodologische helpdesk beschikbaar.
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A new method to reconstruct the structure from crystal images
Promotor: J.P. Abrahams, Co-promotor: T. Grüne
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Methods and Tools for Mining Multivariate Time Series
Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.
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The SpeakTeach method
Naar zelfregulerend leren bij spreek- en gespreksvaardigheid in moderne vreemde talen in het voortgezet onderwijs: een adaptieve en praktische aanpak.
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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PhD Candidate, In-line, Real-Time Reconstruction of X-ray Image Data
Wiskunde en Natuurwetenschappen, Leiden Institute of Advanced Computer Science (LIACS)
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Effective Methods for Diophantine Equations
Promotor: R. Tijdeman
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Reconstruction Methods for Combined HAADF-STEM and EDS Tomography
Promotie
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Algebraic filters for filtered backprojection
Promotor: K.J. Batenburg, Co-promotor: A.W. van der Vaart, B. de Smit
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Network flow algorithms for discrete tomography
Promotor: R. Tijdeman, Co-promotor: H.J.J. te Riele
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Advances in computational methods for Quantum Field Theory calculations
In this work we describe three methods to improve the performance of Quantum Field Theory calculations.
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On the amount of sieving in factorization methods
Promotoren: R. Tijdeman, A.K. Lenstra, Co-promotor: H.J.J. te Riele
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Chasing cosmic tau neutrinos in the abyss
In this work the reconstruction of a tau neutrino signal in the KM3NeT detector is discussed.
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Monotonicity and Boundedness in general Runge-Kutta methods
Promotores: M.N. Spijker, J.G. Verwer.
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Error bounds for discrete tomography
Promotores: K.J. Batenburg, B. Koren
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the surface formation of regular and deuterated water in space: a combined laboratory and computational study
Promotor: Prof.dr. H.V.J. Linnartz
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Advances in Survival Analysis and Optimal Scaling Methods
This thesis is based on five papers on several topics.
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Personalised medicine for multiple outcomes: methods and application
The main objective of this thesis was to develop clinically relevant survival models for patients with high-grade soft tissue sarcoma of the extremities, in particular the development and validation of prediction models for use in clinical practice.
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Methods to simulate fermions on quantum computers with hardware limitations
This thesis is a collection of theoretical works aiming at adjusting quantum algorithms to the hardware of quantum computers.
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1,2-cis-glycosylations: method development and synthesis of complex oligosaccharides
Promotor: G.A. van der Marel, Co-promotor: D.C. Codée
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Evaluation of Different Design Space Description Methods for Analysing Combustion Engine Operation Limits
Promotor: Prof.dr. T.H.W. Bäck
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Post-Doctoral Researcher in International Political Sociology (Visual Methods)
Sociale Wetenschappen, Politieke Wetenschap
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amics in zebrafish: integration of experimental and computational methods
The zebrafish is a promising vertebrate model organism in early drug discovery and development.
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Development of automatic image analysis methods for high-throughput and high-content screening
Promotor: Prof.dr. B. van de Water
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Bioorthogonal Labeling Tools to Study Pathogenic Intracellular Bacteria
In this thesis, bioorthogonal chemistry is combined with correlative light-electron microscopy to selectively label and study pathogenic intracellular bacteria within the host immune cell.
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Towards photo-CIDNP MAS NMR as a generally applicable enhancement method
Promotores: Prof.dr. H.J.M. de Groot, Prof.dr. J. Matysik (Universitaet Leipzig)
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Teaching PhD Position in Quantitative Systems and Reasoning Methods
Wiskunde en Natuurwetenschappen, Leiden Institute of Advanced Computer Science (LIACS)
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Development of a consistent methodology for assessment of the combined effects of metal-based chemicals to lettuce (Lactuca sativa L.)
Hoe kan de methode om de gecombineerde effecten van metaal-gebaseerde chemische stoffetn te bepalen worden verbeterd?
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Computer Interface Character Speller: Convolutional Neural Network based Methods
A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…
- Foundations of Research – 1: Sources & Methods of Source Analysis (3 ECTS)
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analytics for spatially-resolved omics data at single cell resolution: Methods and Applications
The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…
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Shape Analysis for Phenotype Characterisation from High-throughput Imaging
We have studied shape with a particular focus on the zebrafish model system. The shape is an essential appearance of the phenotype of a biological specimen and it can be used to read out a current state or response or to study gene expression.
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Prior information and variational Bayes in high dimensional statistical network inference
This thesis develops statistical methods for the analysis of high dimensional data: high dimensional networks reconstruction (Chapters 1-4), incorporation of prior information in networks reconstruction (Chapters 2-4), incorporation of prior knowledge in genetic association studies (Chapter 3).
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Discrete tomography with two directions
Promotores: R. Tijdeman, K.J. Batenburg
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Structural Properties of Single Server Queueing Systems: Efficient Methods via Lumping and Dynamic Programming
This thesis consists of two main parts. The first part (Chapters 2 and 3) deals with a class of Markov process called Quasi-Skipfree (QSF) processes.
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Quality-driven multi-objective optimization of software architecture design: method, tool, and application
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich
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Symposium: The digital reconstruction of the crucifixion of the Lindau master
On 8 July, the symposium 'The digital reconstruction of the crucifixion of the Lindau master (ca. 1425)' will take place at the auditorium of Museum Catharijnecovent, from where it will also be broadcasted online.
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Discrete tomography for integer-valued functions
Promotor: S.J. Edixhoven, Co-promotor: K.J. Batenburg
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ReCiPe
The ReCiPe methodology for Life Cycle Impact Assessment (LCIA).
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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A computational study of structural and excitonic properties of chlorosomes
The long-held desire - to link structure directly to function and to explain molecular mechanisms based on basic chemical or physical principles - is finally coming closer, satisfying not only our scientific curiosity but also offering new solutions to the many challenges in the field of health, energy…