945 zoekresultaten voor “been image” in de Publieke website
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Eline Beene.been@lic.leidenuniv.nl | 071 5274472
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Jim BeenFaculteit der Rechtsgeleerdheid
j.been@law.leidenuniv.nl | 071 5278569
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Jan BeensFaculteit der Rechtsgeleerdheid
j.beens@law.leidenuniv.nl | 071 5272727
- Douwe Beentjes
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Image and Identity in Chinese Historic Houses
How and to what extent the historic house (re-)constructs identity through image-making in China.
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Images of Galois representations
Promotores: S.J. Edixhoven, P.Parent
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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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Exploring Deep Learning for Intelligent Image Retrieval
This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.
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Deep Learning Solutions for Domain-Specific Image Segmentation
Image segmentation is a fundamental task in computer vision, with applications ranging from medical diagnostics to archaeological research.
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Image analysis for gene expression based phenotype characterization in yeast cells
Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek
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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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Development of automatic image analysis methods for high-throughput and high-content screening
Promotor: Prof.dr. B. van de Water
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POBOT Advanced Training: been
Ontdek de "POBOT Advanced Training: been" van Boerhaave Nascholing en duik in de anatomie van spieren en het toepassen van een echo-apparaat. Lees hier meer!
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From pixels to patterns: AI-driven image analysis in multiple domains
This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.
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Exploring Images With Deep Learning for Classification, Retrieval and Synthesis
In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.
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Determination of surface formation energies on curved single crystals from STM images
In this thesis, we study different curved single crystals because of the diversity of surface structures across their curvature.
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Using Deep Learning Models in Image Processing
Promotie
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Advancing image-based localization of lipid-based nanomedicines for the exploration of targeted drug delivery
Microscopic insight on lipid-based nanomedicine in vivo remains limited to the perception of the knowledge that could be obtained: if we interpret only what we see, then we only believe to know. Although believing to know encapsulates an undefined amount of uncertainty in the exploration of lipid-based…
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Single-molecule microscopy in zebrafish embryos
Single-Molecule Microscopy (SMM) techniques constitute a group of powerful imaging tools that enable researchers to study the dynamic behavior of individual molecules.
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Learning from small samples
Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…
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Large scale visual search
Promotor: J.N. Kok, Co-promotor: M.S. Lew
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Image-based phenotypic screening for breast cancer metastasis drug target discovery
The main aim of this thesis was to unravel the signaling and regulatory networks that drive tumor cell migration during breast cancer metastasis.
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Advanced MR image analysis in sporadic and Dutch-type hereditary Cerebral Amyloid Angiopathy
Promotie
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Liru Feng wint LION Image Award 2025
LION
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Sander Blok wint LION Image Award 2017
Sander Blok heeft de derde editie gewonnen van de jaarlijkse LION Image Award. Hij maakte een kleurrijke afbeelding van gouden nanodeeltjes met een lage-energie elektronenmicroscoop.
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Network flow algorithms for discrete tomography
Promotor: R. Tijdeman, Co-promotor: H.J.J. te Riele
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LION Image Award naar Escheriaans grafeen
De plaat Electronic Escher, een kleurige psychedelische weergave van de elektronische structruur van grafeen, is de winnaar geworden van de LION Image Award 2019. Gefeliciteerd, Vera Janssen en Tobias de Jong.
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Young suns and infant planets: Probing the origins of solar systems
Even though more than 4000 extra-solar planets are known today, only a small fraction of these has been captured in an image. To better understand the planet formation mechanisms in solar-like environments we started the Young Suns Exoplanet Survey (YSES).
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Rachel Doherty wint de LION Image Award met viraal microbootje
De jaarlijkse LION Image award gaat naar de foto van een 30 micrometer lang 3D-geprint bootje dat in oktober viraal ging, ingediend door Rachel Doherty van de groep van Daniela Kraft.
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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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Mazène Hochane en Xueying Fan winnen LION Image Award 2018
Mazène Hochane en Xueying Fan hebben samen de vierde editie gewonnen van de jaarlijkse LION Image Award. Ze maakten een gedetailleerde kleurenfoto van een nier in ontwikkeling.
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Filter-based reconstruction methods for tomography
Promotor: K.J. Batenburg
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Extrasolar Planet Detection Through Spatially Resolved Observations
Promotor: I. Snellen, Co-Promotor: M. Kenworthy
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Discrete tomography with two directions
Promotores: R. Tijdeman, K.J. Batenburg
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Intense automorphisms of finite groups
In this thesis we classify the pairs (p,G), where p is a prime number and G is a finite p-group possessing an intense automorphism, i.e. an automorphism that sends each subgroup of G to a G-conjugate, that is non-trivial and whose order is coprime to p.
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Publicatie: Woodcuts as Reading Guides. How Images Shaped Knowledge Transmission in Medical-Astrological Books in Dutch (1500-1550)
In the first half of the sixteenth century, the Low Countries saw the rise of a lively market for practical and instructive books that targeted non-specialist readers. This study shows how woodcuts in vernacular books on medicine and astrology fulfilled important rhetorical functions in knowledge communication.…
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Mythes en de ontwikkeling van heilige stad Benares
Hoe kan de geschiedenis worden achterhaald uit een ongedateerde mythologische tekst van een onbekend auteur? Op deze vraag zal prof.dr. Peter Bisschop aanstaande vrijdag ingaan tijdens zijn oratie getiteld
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Jim Been wint Netspar Best Ph.D. Thesis Award 2015
Jim Been, Universitair Docent bij de Afdeling Economie, heeft 28 januari jongstleden de Netspar Ph.D. Thesis Award in ontvangst mogen nemen voor zijn proefschrift getiteld “Pensions, Retirement, and the Financial Position of the Elderly”.
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Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
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Faint Quasars at Very Low Frequencies
In this thesis, we use low-frequency and high-frequency radio observations to address the following questions regarding quasars: is the radio loud/quiet quasar dichotomy real?
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Machine learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
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Jim Been nieuwe promovendidecaan: 'Ik hoop wat stress bij promovendi weg te nemen'
De universitair hoofddocent bij het Instituut voor Fiscale en Economische vakken is per 1 oktober 2023 een van de twee promovendidecanen van de Faculteit der Rechtsgeleerdheid.
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Laser-generated toroidal helium plasmas
This dissertation is an experimental study of laser-generated, atmospheric pressure, transient toroidal helium plasmas.
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Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
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Escher and the Droste effect
Artful Mathematics: The Heritage of M. C. Escher
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Advancing Learned Algorithms for 2D X-ray Computed Tomography
This thesis surveys the intersection of computed tomography (CT) and machine learning (ML), treating CT as an ill-posed inverse problem shaped by object properties, imaging physics, and data limitations.
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‘The ILLP has been helpful for every human relation I have’
What is leadership? Can it be taught, and if so, how? The International Leiden Leadership Programme (ILLP) helps students find their own style, say ILLP graduate Marko Simovski and his former coach Annah Neve in an interview: 'It’s about you, discovering you.'
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Deep learning for visual understanding
With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.
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Een gedreven buitenstaander: J.H. van 't Hoff de eerste Nobelprijswinnaar voor Scheikunde
This dissertation presents a new perspective on the life, work and character of the Dutch physical chemist Jacobus Henricus van ’t Hoff, first recipient of the Nobel Prize in Chemistry, and one of the most important and colourful scientists in Dutch history. The image of Van ’t Hoff that emerges from…
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Tailoring x-ray tomography techniques for cultural heritage research
Visualizing the internal structure is a crucial step in acquiring knowledge about the origin, state, and composition of cultural heritage artifacts. Among the most powerful techniques for exposing the interior of cultural heritage objects is computed tomography (CT), a technique that computationally…