Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Ozan Öktem"'
Autor:
Thomas Buddenkotte, Leonardo Rundo, Ramona Woitek, Lorena Escudero Sanchez, Lucian Beer, Mireia Crispin-Ortuzar, Christian Etmann, Subhadip Mukherjee, Vlad Bura, Cathal McCague, Hilal Sahin, Roxana Pintican, Marta Zerunian, Iris Allajbeu, Naveena Singh, Anju Sahdev, Laura Havrilesky, David E. Cohn, Nicholas W. Bateman, Thomas P. Conrads, Kathleen M. Darcy, G. Larry Maxwell, John B. Freymann, Ozan Öktem, James D. Brenton, Evis Sala, Carola-Bibiane Schönlieb
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-10 (2023)
Abstract Purpose To determine if pelvic/ovarian and omental lesions of ovarian cancer can be reliably segmented on computed tomography (CT) using fully automated deep learning-based methods. Methods A deep learning model for the two most common disea
Externí odkaz:
https://doaj.org/article/d86351df71064c6098a739ef36b913d9
Autor:
Lorena Escudero Sanchez, Thomas Buddenkotte, Mohammad Al Sa’d, Cathal McCague, James Darcy, Leonardo Rundo, Alex Samoshkin, Martin J. Graves, Victoria Hollamby, Paul Browne, Mireia Crispin-Ortuzar, Ramona Woitek, Evis Sala, Carola-Bibiane Schönlieb, Simon J. Doran, Ozan Öktem
Publikováno v:
Diagnostics, Vol 13, Iss 17, p 2813 (2023)
Artificial intelligence (AI) methods applied to healthcare problems have shown enormous potential to alleviate the burden of health services worldwide and to improve the accuracy and reproducibility of predictions. In particular, developments in comp
Externí odkaz:
https://doaj.org/article/23f83dcec95a4760b00c763e618e66f3
Autor:
Dari Kimanius, Gustav Zickert, Takanori Nakane, Jonas Adler, Sebastian Lunz, Carola-Bibiane Schönlieb, Ozan Öktem, Sjors H. W. Scheres
Publikováno v:
IUCrJ, Vol 8, Iss 1, Pp 60-75 (2021)
Three-dimensional reconstruction of the electron-scattering potential of biological macromolecules from electron cryo-microscopy (cryo-EM) projection images is an ill-posed problem. The most popular cryo-EM software solutions to date rely on a regula
Externí odkaz:
https://doaj.org/article/d604d0022e5240f482493f2f774c2a12
Publikováno v:
New Journal of Physics, Vol 19, Iss 2, p 025013 (2017)
A common method to assess the performance of (super resolution) microscopes is to use the localization precision of emitters as an estimate for the achieved resolution. Naturally, this is widely used in super resolution methods based on single molecu
Externí odkaz:
https://doaj.org/article/8a5b13662f59455aa7d06fbec4bdb145
This article adapts the framework of metamorphosis to solve inverse problems in imaging that includes joint reconstruction and image registration. The deformations in question have two components, one that is a geometric deformation moving intensitie
Externí odkaz:
http://arxiv.org/abs/1806.01225
Autor:
Thomas Buddenkotte, Leonardo Rundo, Ramona Woitek, Lorena Escudero Sanchez, Lucian Beer, Mireia Crispin-Ortuzar, Christian Etmann, Subhadip Mukherjee, Vlad Bura, Cathal McCague, Hilal Sahin, Roxana Pintican, Marta Zerunian, Iris Allajbeu, Naveena Singh, Sahdev Anju, Laura Havrilesky, David E. Cohn, Nicholas W. Bateman, Thomas P. Conrads, Kathleen M. Darcy, G. Larry Maxwell, John B. Freymann, Ozan Öktem, James D. Brenton, Evis Sala, Carola-Bibiane Schönlieb
PurposeTo determine if pelvic/ovarian and omental lesions of ovarian cancer can be reliably segmented on computed tomography (CT) using fully automated deep learning-based methods.Materials and MethodsA deep learning model for the two most common dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75c51bb2ba7df6a652896f1d2766d7a3
https://doi.org/10.1101/2023.01.10.22279679
https://doi.org/10.1101/2023.01.10.22279679
Publikováno v:
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030986605
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030030094
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030030094
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0ffb85f9c318f1d6a5e84c47fb799e8
https://doi.org/10.1007/978-3-030-98661-2_83
https://doi.org/10.1007/978-3-030-98661-2_83
Publikováno v:
International Journal of Computer Mathematics. 99:1325-1343
We propose a new algorithm to compute the X-ray transform of an image represented by unit (pixel/voxel) basis functions. The fundamental task is equivalently calculating the intersection lengths of...
Publikováno v:
Medical Imaging 2022: Physics of Medical Imaging.
We present a deep learning-based algorithm to jointly solve a reconstruction problem and a wavefront set extraction problem in tomographic imaging. The algorithm is based on a recently developed digital wavefront set extractor as well as the well-kno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28b01e5c00970f2f888b3c6adfb6009c
https://hdl.handle.net/10037/26407
https://hdl.handle.net/10037/26407