213 zoekresultaten voor “ben image” in de Publieke website
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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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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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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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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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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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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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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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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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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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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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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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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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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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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…
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Cosmic tomography with weak gravitational lensing
We explored the Universe using weak gravitational lensing, a phenomenon that occurs when light from distant galaxies is bent by the gravitational fields of closer cosmic objects, much like how a lens distorts light.
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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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Large scale visual search
Promotor: J.N. Kok, Co-promotor: M.S. Lew
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Professionele leergemeenschappen voor begeleiders van startende leraren
Startende leraren hebben begeleiding nodig om uitval uit het beroep te voorkomen. Begeleiders van startende leraren ontwikkelen in een professionele leergemeenschap begeleidingstrajecten (inductieprogramma’s) voor startende leraren van hun eigen school.
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Error bounds for discrete tomography
Promotores: K.J. Batenburg, B. Koren
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Visual Revolutions in the Middle East
Special Issue in: Visual Anthropology, Volume 29, Issue 3, 2016
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Unlocking Cosmic Depth and Detail
This thesis utilises the exceptional sensitivity and resolution of LOFAR to explore the low-frequency Universe, while simultaneously advancing the telescope's capabilities to enable new scientific discovery.
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Kennis delen: gezamenlijke professionalisering op internationale scholen rond inquiry based learning
Met dit project wordt onderzocht hoe docenten op drie internationale scholen zich gezamenlijk professionaliseren rond het thema ‘Inquiry based teaching’. Gegeven de rijkdom aan ervaring en achtergronden van de docenten op internationale scholen, kan worden verwacht dat docenten veel kunnen leren…
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Het gebruik van een praktisch didactisch model door beginnend docenten voor het leren ontwerpen van lessen
Beginnend docenten hebben vaak moeite met het maken van activerende lessen. In dit onderzoek wordt gekeken hoe het didactisch bouwstenen model hen een helpende hand kan bieden bij het leren ontwerpen van lessen.
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Facets of radio-loud AGN evolution: a LOFAR surveys perspective
Promotor: H.J.A. Rottgering, Co-Promotor: R.J. van Weeren
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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Don't Blink: Detecting transiting exoplanets with MASCARA
This thesis describes the Multi-site All-Sky CAmeRA (MASCARA), which consists of two small robotic telescope designed to detect exoplanets around the brightest stars in the sky.
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Low energy electron transmission through layered materials and chiral organic films
In this Ph.D. thesis we study the interaction of low energy electrons with thin materials, namely layered materials (graphene, hexagonal boron nitride, molybdenum disulfide) and organic films. At these low energies the quantum mechanical wavelength of the electron wave function is in the order of a…
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Data-geïnformeerd werken in het voortgezet onderwijs
Dit onderzoek richt zich op het proces waarmee docenten eigen lespraktijk stapsgewijs kunnen aanpassen in de richting van activerende didactiek en gedifferentieerd onderwijs.
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Arakelov inequalities and semistable families of curves uniformized by the unit ball
The main object of study in this thesis is an Arakelov inequalitywhich bounds the degree of an invertible subsheaf of the direct image ofthe pluricanonical relative sheaf of a semistable family of curves.
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Effecten van wederzijdse afhankelijkheid tussen docenten in professionele leergemeenschappen over differentiatie op basis van cognitieve verschillen
Welke relatie bestaat er tussen verschillende type PLGs en cognitieve differentiatie?
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Aspects of the analysis of cell imagery: from shape to understanding
In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.
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Galois representations of elliptic curves and abelian entanglements
Prof.dr. P. Stevenhagen, Prof.dr. K. Belabas (Universite Bordeaux I)
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An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
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Latest hardware for computer research on medical imaging
The LIACS Media Lab has received a research grant from the worldwide leading graphics hardware company NVIDIA. The grant exists of newly developed hardware utilizing thousands of processors. LIACS researchers will use it to investigate deep learning in understanding imagery from sources such as MRI…
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Onderzoeken en ontwerpen in het voortgezet bètaonderwijs
Onderzoeken en ontwerpen worden steeds belangrijker in het internationale bètaonderwijs. In Nederland zijn onlangs de nieuwe vakken O&O (onderzoeken en ontwerpen) en NLT (natuur, leven en technologie) ingevoerd, die aandacht besteden aan onderzoeks- en ontwerpopdrachten in de klas. In dit onderzoek…
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Ontwikkeling van tweetalig onderwijs
Steeds meer scholen bieden tweetalig onderwijs aan. Het doel van dit project is het verder ontwikkelen van de manier waarop tweetalig onderwijs wordt gegeven, en zo het leren door leerlingen te bevorderen.