Searched for: subject%3A%22Segmentation%22
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Verburg, Corné (author)
This thesis addresses the challenge of segmenting ultra-high-resolution images. Limitations of current approaches to segment these are that either detailed spatial contextual information is lost or many redundant computations are necessary. To overcome these issues, we propose a novel approach combining the U-Net architecture with domain...
master thesis 2024
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Kappé, Jeroen (author)
The city of Amsterdam faces the challenge of monitoring and assessing 200 kilometers of historic quay walls, of which much is deemed to be in poor condition. A key monitoring technique used is photogrammetry resulting in deformation testing. The fundamental data source forming the basis of this deformation analysis is a collection of overlapping...
master thesis 2024
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Wiers, Christiaan (author)
With the current transition towards renewable and high-tech solutions, the world is becoming increasingly complex. Consequently, the challenges faced by firefighters also intensify. For that reason, firefighting robots are rising in popularity despite being far from perfect. An important area of improvement is the perception capabilities of...
master thesis 2024
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Rijpkema, Gerben (author)
Forensic microtrace investigation relies on a time- and labour-intensive process of manually analysing samples via microscopy. To aid forensic experts in their investigations, an image recognition model for microtrace localisation and classification is needed. This work investigates the trace recognition accuracy that can be achieved by...
master thesis 2024
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Gunce, Cem (author)
Today's electricity supply falls short of current demands, leading to the utilization of gas turbines in both ground based and avionic infrastructures. Nevertheless, these often rely on carbon-based fuels, resulting in escalating CO2 emissions. However, adopting hydrogen as a fuel eliminates carbon emissions. Aside from zero carbon emissions,...
master thesis 2024
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Duurland, Jona (author)
The Netherlands is facing a housing crisis, marked by shortages and escalated prices. The Affordable Rent Bill aims to further regulate the private rental segment and improve the position of middle-income groups depend- ent on this segment. However, increased rent regula- tions and the recently introduced taxation measure Tax Plan 2023 decrease...
master thesis 2024
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Dai, Zhicheng (author), Li, Dewei (author), Feng, Y. (author), Yang, Yuming (author), Sun, Long (author)
Understanding pedestrian wayfinding behavior is crucial for traffic management and building design. The use of virtual reality technology presents an efficient approach for investigating pedestrian wayfinding behavior in large public spaces, offering numerous advantages for data collection. However, the impact of different scenario dimensions on...
journal article 2024
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Hulshof, Chantal M. (author), Schallig, Wouter (author), van den Noort, Josien C. (author), Streekstra, Geert J. (author), Kleipool, Roeland P. (author), GG Dobbe, Johannes (author), Maas, Mario (author), Harlaar, J. (author), van der Krogt, Marjolein M. (author)
Segment coordinate systems (CSs) of marker-based multi-segment foot models are used to measure foot kinematics, however their relationship to the underlying bony anatomy is barely studied. The aim of this study was to compare marker-based CSs (MCSs) with bone morphology-based CSs (BCSs) for the hindfoot and forefoot. Markers were placed on...
journal article 2024
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Su, R. (author), van der Sluijs, P.M. (author), Chen, Yuan (author), Cornelissen, Sandra (author), van den Broek, R.B. (author), van Zwam, Wim H. (author), van der Lugt, Aad (author), Niessen, W.J. (author), Ruijters, Danny (author), van Walsum, T. (author)
Cerebral X-ray digital subtraction angiography (DSA) is a widely used imaging technique in patients with neurovascular disease, allowing for vessel and flow visualization with high spatio-temporal resolution. Automatic artery–vein segmentation in DSA plays a fundamental role in vascular analysis with quantitative biomarker extraction,...
journal article 2024
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Dekhovich, A. (author), Bessa, M.A. (author)
We introduce a new continual (or lifelong) learning algorithm called LDA-CP &S that performs segmentation tasks without undergoing catastrophic forgetting. The method is applied to two different surface defect segmentation problems that are learned incrementally, i.e., providing data about one type of defect at a time, while still being...
journal article 2024
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Gutierrez, Ivan (author), Lindenbergh, R.C. (author), Watson, Lisa (author), Shelton, Kim (author)
Detailed 3D information on vulnerable archaeological sites can document cultural heritage and contribute to its preservation. The Late Bronze Age Mycenaean cemetery of Aidonia, Greece, is a representative case of a vulnerable site. Tomb looting has occurred sporadically since the 1970s, when the Greek government was made aware of the site....
journal article 2024
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Xie, Binyang (author), He, Guanghua (author), Zhao, Chuankai (author), Jing, Penglin (author), Pal, S.K. (author), Iijima, Kazuhiro (author), Jin, Ruijia (author), Chen, Bangqi (author), Ghassemi, Hassan (author)
In this paper, the hydroelasticity of two segmented ship models (Barge and KVLCC2) is investigated by experimental and numerical methods. A two-way Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) coupled method is adopted and further validated its accuracy against experimental results. The current approach emphasizes the...
journal article 2024
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van der Vliet, Willem (author)
Digital twins (DTs) are a common way for city planners and citizens alike to visualize the impact of new policy decisions, simulate scenarios, and plan for disasters. The more detail these DTs have, the more useful they can be. Windows and doors, also known as building openings, are a critical detail missing in Amsterdam’s DT. While previous...
master thesis 2023
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Mansour Pour, K. (author)
Borehole operations play a crucial role in managing various subsurface activities related to energy, including energy storage, geothermal energy production, CO2 sequestration, oil and gas extraction, wastewater disposal, and thermal recovery processes. In recent times, intelligent well technologies, such as long deviated multi-lateral wells...
doctoral thesis 2023
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Panagiotidou, Ioanna (author)
This thesis introduces a Learned-Based Multi-View Semantic Stereo method, addressing the limitations of traditional and learned-based Multi-View Stereo (MVS) techniques in reconstructing reflective and low-textured regions, particularly prevalent in 3D models of buildings. Traditional methods lack completeness, while learned-based methods...
master thesis 2023
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Dushatskiy, A. (author)
Recently great achievements have been obtained with Artificial Intelligence (AI) methods including human-level performance in such challenging areas as image processing, natural language processing, computational biology, and game playing. Arguably, one of the most societally important application fields of such methods is healthcare. <br/>AI is...
doctoral thesis 2023
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Slepova, Ksenia (author)
Every year, 180000 new cases of hydrocephalus are diagnosed among infants in Sub-Saharan Africa. Unfortunately, more than two-thirds of the population in this region lacks access to essential medical imaging technologies, such as magnetic resonance imaging (MRI). To address this issue, a collaborative effort between the TU Delft, Leiden...
master thesis 2023
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Holtgrefe, Tim (author)
Microtubules are long cylindrical polymers, assembled from tubulin proteins. Microtubule ends can be visualized using fluorescence and confocal microscopy. This allows for the study of microtubule dynamics. However, the manual annotation of microtubules is laborious, which is why automated tracking methods are used. In this project we have...
bachelor thesis 2023
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Farah, Youssef (author)
Event cameras are novel bio-inspired sensors that capture motion dynamics with much higher temporal resolution than traditional cameras, since pixels react asynchronously to brightness changes. They are therefore better suited for tasks involving motion such as motion segmentation. However, training event-based networks still represents a...
master thesis 2023
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van der Heijden, Wouter (author)
Introduction: Spondyloarthritis (SpA) belongs to the chronic inflammatory rheumatic diseases, and primarily affects the axial skeleton. Quantitative 18F-NaF PET/CT is a new imaging approach that shows promise for accurate diagnosis and treatment assessment. Manual segmentation of low-dose computed tomography (LDCT) for quantitative feature...
master thesis 2023
Searched for: subject%3A%22Segmentation%22
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