Searched for: contributor%3A%22Dauwels%2C+J.H.G.+%28mentor%29%22
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Wang, Zipeng (author)
Deep-learning-based object detectors, while offering exceptional performance, are data-dependent and can suffer from generalization issues. In this thesis, we investigated deep neural networks for detecting people and medical instruments in the vision-based workflow analysis system inside Catheterization Laboratories (Cath Labs). The central...
master thesis 2024
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Dun, Jingwen (author)
Optical Character Recognition (OCR) is a pivotal technology used to extract text information from images, finding wide-ranging applications in document digitization and medical records management. The integration of machine learning has ushered in an era of swift and precise OCR models. Broadly, OCR comprises two key components: detecting the...
master thesis 2023
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Barokas Profeta, Doruk (author)
The rise of streaming and video technologies has underscored the significance of efficient access and navigation of digital content, particularly for scholars in fields like history and art. Scholars actively seek streamlined approaches to index, retrieve, and explore digital content, with a focus on locating specific instances. The process of...
master thesis 2023
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Zhao, Shuoyan (author)
Anesthesia-related hypotension is a significant concern during surgery, occurring shortly after induction and potentially leading to severe complications. Since the anesthetic drug is believed to have an important role in the occurrence of post-induction hypotension (PIH), anesthesiologists now advocate for the appropriate selection of...
master thesis 2023
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Li, Sinian (author)
The advent of streaming and video has sparked a revolutionary shift in the presentation of materials across various fields, such as history, art, and media copyright protection. In this context, scholars and rights holders are seeking efficient solutions to index, retrieve, and browse through digital content searching for a specific instance....
master thesis 2023
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Hamo, Alan (author)
Cardiac output (CO), a vital hemodynamic parameter that reflects the blood volume pumped by the heart per minute, is crucial for determining tissue oxygen delivery and the heart's ability to meet the body's demands. Researchers have developed various methods to measure cardiac output, including thermodilution using pulmonary artery catheters ...
master thesis 2023
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Marsman, Rienk (author), Wams, Tjeerd (author), van der Toorn, Kevin (author)
Determining ground level elevation is essential in assessing flood risk. This report presents a com-prehensive framework using state-of-the-art object detection model YOLOv8 trained on a relatively small dataset containing houses, doors and steps. The object detection model is followed up by a post-processing block designed specifically for...
bachelor thesis 2023
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Engelenberg, Philip (author), Serrien, Yannick (author), Kepguep, Adrian (author)
This thesis presents a comprehensive analysis and implementation of a program designed to detect the number of steps leading up to the front door of a house using a Google Street View Image. The purpose of counting the steps is to have a proxy of the ground floor elevation by multiplying with an average step height. After determining the street...
bachelor thesis 2023
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Chang, Yiheng (author)
Catheterization Laboratory (Cath Lab) is a hospital examination room equipped with diagnostic imaging equipment to display the heart arteries and to detect and treat any abnormality or stenosis. This thesis addresses the urgent need to improve the efficiency of operating rooms in Cath Labs due to the increasing number of patients with...
master thesis 2023
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Dijkstra, Jonathan (author)
In recent years, the agricultural sector has seen significant techno- logical improvements under the flag of precision agriculture, assisting farmers in the manageability that coincides with large-scale farming. Moreover, precision agriculture aims to enable plant-specific farming on the macro scale that is demanded by the current global...
master thesis 2023
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Rom, Mano (author), Brand, Jarl (author)
The creation of effective computational models that function within the power limitations of edge de- vices is an important research problem in the field of Artificial Intelligence (AI). While cutting-edge deep learning algorithms show promising results, they frequently need computing resources that are many orders of magnitude more than the...
bachelor thesis 2023
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Zheng, Hong Jie (author), van den Berg, Christian (author)
Artificial Intelligence has become a dominant part of our lives, however, complex artificial intelligence models tend to use a lot of energy, computationally complex operations, and a lot of memory resources. Therefore, it excluded a whole class of hardware in its applicability. Namely, relatively resource-constrained low-cost hardware. This...
bachelor thesis 2023
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Hu, Li Ou (author), Adriaanse, Marijn (author)
In the past decades, much progress has been made in the field of AI, and now many different algorithms exist that reach very high accuracies. Unfortunately, many of these algorithms are quite resource intensive, which makes them unavailable on low-cost devices. <br/>The aim of this thesis is to explore algorithms and neural network techniques...
bachelor thesis 2023
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Wang, Chuhan (author)
3D scene reconstruction is a common computer vision task with many applications. The synthesized virtual environments are beneficial for many downstream applications such as 3D modeling, building inspection, virtual reality, etc. As conventional scene reconstruction methods often require expensive data collections and prior information on the...
master thesis 2022
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Bi, Haoran (author)
Extreme precipitation can often cause serious hazards such as flooding and landslide. Both pose a threat to human lives and lead to substantial economic loss. It is crucial to develop a reliable weather forecasting system that can predict such extreme events to mitigate the effect of heavy precipitation and increase resilience to these hazards....
master thesis 2022
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Dai, Renjie (author)
Workflow analysis aims to improve the efficiency and safety in operating rooms by analysing surgical processes and providing feedback or support, where observations can be made and evaluated by algorithms rather than human experts. For our study, we mount five calibrated cameras from different angles in a Catheterization Laboratory (Cath Lab) to...
master thesis 2022
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CHEN, ENPU (author)
In inspection and display scenarios, reconstructing and rendering the entire surface of a building is a critical step in presenting the overall condition of the building. In building reconstruction, most works are based on point clouds because of their enhanced availability. In recent years, neural radiance fields (NeRF) have become a common...
master thesis 2022
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Zeng, Jinchen (author)
Surgical workflow analysis has gained more importance in operating rooms, which could take responsibility for the working condition, the safety of both patients and surgical personnel, as well as the working efficiency. Focusing on the optimization of the workflow, a set of cameras is installed in the Catheterization Laboratory in Reinier de...
master thesis 2022
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Zheng, Meng (author)
Machine learning models are so-called a "black box," which means people can not easily observe the relationship between the output and input or explain the reason for such results. In recent years, much work has been done on interpretable machine-learning, such as Shapley values, counterfactual explanations, partial dependence plots, or saliency...
master thesis 2022
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Lin, Nan (author)
Modular neural networks have received an upsurge of attention lately owing to their unique modular design and potential capacity to decompose complex dynamics and learn interactions among causal variables. Inspired by this potential, we employ the recently introduced Recurrent Independent Mechanisms (RIMs) in the downstream video prediction task...
master thesis 2022
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