Searched for: subject%3A%22Medical%255C%2BImaging%22
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Frison, Sebastian (author)
Hepatopancreato-biliary (HPB) surgeons, when planning complex cases of pancreatic cancer, lose precious time because of difficulties in visualising the interaction between tumour and blood vessels and identifying patient-specific anatomy. To tackle this issue, the Integrated Imaging Workstation (IIW) was prototyped by e/MTIC and Philips. This...
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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Kim, Sungjin (author)
Although automated segmentation of 3D medical images produce near-ideal results, they encounter limitations and occasional errors, necessitating manual intervention for error correction. Recent studies introduce an active learning pipeline as an efficient solution for this, requiring user corrections only on some of the most uncertain parts of...
bachelor thesis 2023
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Spengler, Daniel (author)
The study of tumor microenvironments (TMEs) and immune cell composition in cancer, a disease characterized by uncontrolled growth and spread of tumor cells, has become increasingly important for understanding tumor progression and patient outcomes. Tools such as the TME-Analyzer enable this kind of research, but their manual workflows highlight...
master thesis 2023
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den Hertog, Hanna (author)
<i><b>Background </b></i>Dynamic SPECT scanning provides a non-invasive way to image the time-dependent distribution of radio-labelled tracers inside living tissue. Beside human medicine, dynamic SPECT also finds its applications in pre-clinical research on small animals. In pre-clinical research, multi-pinhole collimators are used to enable...
bachelor thesis 2023
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Ruijs, Laura (author)
Pancreatic cancer is one of the deadliest types of cancer and generally has a 5-year survival rate of 5%. Surgery (pancreatoduodenectomy) is the only form of curative treatment for patients diagnosed with pancreatic cancer. If the tumour is operable, the resectability of the tumour depends on the level of tumour-vessel contact. Based on CT scans...
master thesis 2022
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Lee Kaijen, Kaijen (author)
The significant progress of Artificial Intelligence (AI) and Machine Learning (ML) techniques such as Deep Learning (DL) has seen success in their adoption in resolving a variety of problems. However, this success has been accompanied by increasing model complexity resulting in a lack of transparency and trustworthiness. Explainable Artificial...
bachelor thesis 2022
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van Ulsen, Hidde (author)
Image registration is a fundamental requirement for many medical applications. In recent years, deep learning approaches for registration have shown to be a promising alternative to conventional methods. However, most learning based methods do not consider the different physical properties of various tissues, which can result in unrealistic...
master thesis 2022
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Bosma, Martijn (author)
Deep Neural Networks (DNNs) have the potential to make various clinical procedures more time-efficient by automating medical image segmentation; largely due to their strong, in some cases human-level, performance. The design of the best possible medical image segmentation DNN, however, is task-specific. Neural Architecture Search (NAS), i.e.,...
master thesis 2022
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Leibold, D. (author), van der Sar, S.J. (author), Goorden, M.C. (author), Schaart, D.R. (author)
X-ray detectors with photon-counting capabilities promise to revolutionise medical imaging. For an efficient comparison of detectors of various materials and with different setup choices, reliable detector performance measures are needed. The detector point spread function (PSF) is a commonly used measure, which describes the spatial response...
journal article 2022
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Dushatskiy, A. (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
Neural Architecture Search (NAS) has recently become a topic of great interest. However, there is a potentially impactful issue within NAS that remains largely unrecognized: noise. Due to stochastic factors in neural network initialization, training, and the chosen train/validation dataset split, the performance evaluation of a neural network...
conference paper 2022
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Noom, J. (author), Soloviev, O.A. (author), Smith, C.S. (author), Verhaegen, M.H.G. (author)
Some applications require high level of image-based classification certainty while keeping the total illumination energy as low as possible. Examples are minimally invasive visual inspection in Industry 4.0, and medical imaging systems such as computed tomography, in which the radiation dose should be kept “as low as is reasonably achievable”...
conference paper 2022
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Dushatskiy, A. (author), Lowe, Gerry (author), Bosman, P.A.N. (author), Alderliesten, T. (author)
Deep learning algorithms have become the golden standard for segmentation of medical imaging data. In most works, the variability and heterogeneity of real clinical data is acknowledged to still be a problem. One way to automatically overcome this is to capture and exploit this variation explicitly. Here, we propose an approach that improves...
conference paper 2022
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Hu, Yong (author), Baggio, Mariangela (author), Dabironezare, Shahab Oddin (author), Tamminen, Aleksi (author), Toy, Brandon (author), Ala-laurinaho, Juha (author), Brown, Elliot (author), Llombart, Nuria (author), Deng, Sophie X. (author), Wallace, Vincent (author), Taylor, Zachary D. (author)
A system concept for online alignment verification of millimeter-wave, corneal reflectometry is presented. The system utilizes beam scanning to generate magnitude-only reflectivity maps of the cornea at 650 GHz and compares these images to a precomputed/measured template map to confirm/reject sufficient alignment. A system utilizing five off...
journal article 2022
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Rasenberg, Diederik (author)
Introduction <br/>Pancreatic cancer is currently the fourth leading cause of cancer death in the United States and has only a 5-year survival rate of 10%. Pancreatoduodenectomy is the cornerstone of curative treatment for patients diagnosed with pancreatic head cancer. Only 20% of the patients are candidate for surgery since many patients...
master thesis 2021
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de Vries, Tessa (author)
Biomedical researchers and clinicians are interested in (ab)normal foetal development because it can aid in better understanding human anatomy. To capture this foetal development non-destructive three dimensional (3D) imaging techniques like computed tomography (CT) are used. Visualising foetuses remains a challenge however, as foetuses consist...
master thesis 2021
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Ahishakiye, Emmanuel (author), van Gijzen, M.B. (author), Tumwiine, Julius (author), Wario, Ruth (author), Obungoloch, Johnes (author)
Medical image reconstruction aims to acquire high-quality medical images for clinical usage at minimal cost and risk to the patients. Deep learning and its applications in medical imaging, especially in image reconstruction have received considerable attention in the literature in recent years. This study reviews records obtained...
review 2021
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de Hoon, N.H.L.C. (author)
Heart and vessel diseases, or cardiovascular diseases (CVDs), are globally the main cause of mortality and morbidity. The blood flow plays an important role in their occurrence and progression. Therefore, knowledge of the blood flow is of key importance to reduce and threat these diseases. This knowledge requires both high-quality data and an...
doctoral thesis 2020
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de Hoon, N.H.L.C. (author), Jalba, A.C. (author), Farag, E.S. (author), van Ooij, P. (author), Nederveen, A. J. (author), Eisemann, E. (author), Vilanova Bartroli, A. (author)
Phase-Contrast Magnetic Resonance Imaging (PC-MRI) surpasses all other imaging methods in quality and completeness for measuring time-varying volumetric blood flows and has shown potential to improve both diagnosis and risk assessment of cardiovascular diseases. However, like any measurement of physical phenomena, the data are prone to noise,...
journal article 2020
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Tideman, Leonoor (author)
Imaging mass spectrometry (IMS) is a multiplexed chemical imaging technique that enables the spatially targeted molecular mapping of biological samples at cellular resolutions. Within a single experiment, IMS can measure the spatial distribution and relative concentration of thousands of distinct molecular species across the surface of a tissue...
master thesis 2019
Searched for: subject%3A%22Medical%255C%2BImaging%22
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