821 zoekresultaten voor “boer image” in de Publieke website
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Images of Galois representations
Promotores: S.J. Edixhoven, P.Parent
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Gabe BoerASSC
g.j.g.m.boer@assc.leidenuniv.nl | 071 5272727
- Veerle Boer
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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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Koos Boer
Koos Boer is Hoogleraar Belastingrecht.
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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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Steinn de Boer
Faculteit der Rechtsgeleerdheid
s.w.de.boer@law.leidenuniv.nl | 071 5272727
- Jacqueline de Boer
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Roan de Boer
ISSC
r.j.de.boer@issc.leidenuniv.nl |
- Jelle de Boer
- Fianne de Boer
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Joris de Boer
Faculteit der Sociale Wetenschappen
j.de.boer@fsw.leidenuniv.nl | 071 5272727
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Barbara Boertje
Bestuursbureau
b.e.boertje@bb.leidenuniv.nl | 071 5272727
- Wout Boeren
- Mara Boers
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Mark de Boerm.g.j.de_boer@lumc.nl | 071 5262613
- Marlies de Boer
- Edith den Boer
- Renske de Boer
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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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Elpine de Boer
Elpine de Boer is universitair docent aan het Leids Centrum voor Religiewetenschap.
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Frank de Boer
Frank de Boer is Hoogleraar Software correctheid bij het Leiden Institute of Advanced Computer Science (LIACS). Ook is hij senior onderzoeker bij het Centrum voor Wiskunde en Informatica (CWI).
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Hannah de BoerFaculteit der Sociale Wetenschappen
h.c.de.boer@fsw.leidenuniv.nl | 071 5272727
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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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Elizabeth den BoerFaculteit der Geesteswetenschappen
e.p.den.boer@hum.leidenuniv.nl | 070 8009500
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Maria de Boer -
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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Monica den BoerFaculteit Governance and Global Affairs
m.g.w.den.boer@fgga.leidenuniv.nl | 070 8009500
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Thijs de Boer -
Hester de BoerFaculteit der Rechtsgeleerdheid
h.de.boer@law.leidenuniv.nl | 071 5272727
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Meike de Boer
Meike de Boer is promovendus bij het Centre for Linguistics.
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Jill den Boerm.j.den.boer@cml.leidenuniv.nl | 071 5272727
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Eveline de BoerICLON
e.de.boer@iclon.leidenuniv.nl | 071 5271748
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Bertram de Boer - Connie de Boer-Lindeman
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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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Eveline de Boer-MeuldijkFaculteit der Geesteswetenschappen
e.de.boer.4@hum.leidenuniv.nl | 071 5273294
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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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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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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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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