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pro vyhledávání: '"Biguri, Ander"'
Autor:
Kiss, Maximilian B., Biguri, Ander, Schönlieb, Carola-Bibiane, Batenburg, K. Joost, Lucka, Felix
Like in many other research fields, recent developments in computational imaging have focused on developing machine learning (ML) approaches to tackle its main challenges. To improve the performance of computational imaging algorithms, machine learni
Externí odkaz:
http://arxiv.org/abs/2408.08115
Autor:
Breger, Anna, Biguri, Ander, Landman, Malena Sabaté, Selby, Ian, Amberg, Nicole, Brunner, Elisabeth, Gröhl, Janek, Hatamikia, Sepideh, Karner, Clemens, Ning, Lipeng, Dittmer, Sören, Roberts, Michael, Collaboration, AIX-COVNET, Schönlieb, Carola-Bibiane
Image quality assessment (IQA) is not just indispensable in clinical practice to ensure high standards, but also in the development stage of novel algorithms that operate on medical images with reference data. This paper provides a structured and com
Externí odkaz:
http://arxiv.org/abs/2405.19097
Neural ordinary differential equations (Neural ODEs) propose the idea that a sequence of layers in a neural network is just a discretisation of an ODE, and thus can instead be directly modelled by a parameterised ODE. This idea has had resounding suc
Externí odkaz:
http://arxiv.org/abs/2405.02478
Autor:
Sun, Wenjuan, Chretien, Stephan, Biguri, Ander, Soleimani, Manuchehr, Blumensath, Thomas, Talbott, Jessica
Due to the merit of establishing volumetric data, X-ray computed tomography (XCT) is increasingly used as a non-destructive evaluation technique in the quality control of advanced manufactured parts with complex non-line-of-sight features. However, t
Externí odkaz:
http://arxiv.org/abs/2305.10129
Autor:
Landman, Malena Sabate, Biguri, Ander, Hatamikia, Sepideh, Boardman, Richard, Aston, John, Schonlieb, Carola-Bibiane
Krylov subspace methods are a powerful family of iterative solvers for linear systems of equations, which are commonly used for inverse problems due to their intrinsic regularization properties. Moreover, these methods are naturally suited to solve l
Externí odkaz:
http://arxiv.org/abs/2211.14212
Autor:
Dittmer, Sören, Roberts, Michael, Gilbey, Julian, Biguri, Ander, Collaboration, AIX-COVNET, Preller, Jacobus, Rudd, James H. F., Aston, John A. D., Schönlieb, Carola-Bibiane
In this perspective, we argue that despite the democratization of powerful tools for data science and machine learning over the last decade, developing the code for a trustworthy and effective data science system (DSS) is getting harder. Perverse inc
Externí odkaz:
http://arxiv.org/abs/2210.13191
Autor:
Kaser, Stefanie, Bergauer, Thomas, Biguri, Ander, Birkfellner, Wolfgang, Hatamikia, Sepideh, Hirtl, Albert, Irmler, Christian, Kirchmayer, Benjamin, Ulrich-Pur, Felix
Publikováno v:
In Zeitschrift fuer Medizinische Physik November 2023 33(4):552-566
Akademický článek
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Autor:
Biguri, Ander
Computed tomography (CT), and especially cone-beam computed tomography (CBCT) has a wide range of applications. This thesis focuses on CBCT for image-guided radiation therapy (IGRT), particularly for lung cancer treatment. In lung IGRT the tumour mov
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761041
X-ray tomographic reconstruction typically uses voxel basis functions to represent volumetric images. Due to the structure in voxel basis representations, efficient ray-tracing methods exist allowing fast, GPU accelerated implementations. Tetrahedral
Externí odkaz:
http://arxiv.org/abs/1908.06909