Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Michael P. Hayball"'
Autor:
Michael P. Hayball, Michal Kawulok, Marcin Cwiek, Pawel Wawrzyniak, Pawel Ulrych, Szymon Piechaczek, Wojciech Dudzik, Janusz Szymanek, M. Marcinkiewicz, Grzegorz Mrukwa, Pablo Ribalta Lorenzo, Barbara Bobek-Billewicz, Jakub Nalepa
Publikováno v:
ICIP
Data augmentation helps improve generalization of deep neural networks, and can be perceived as implicit regularization. It is pivotal in scenarios in which the amount of ground-truth data is limited, and acquiring new examples is costly and time-con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f924af439acd2829bd0dc7b8d0170f68
https://doi.org/10.1109/icip.2019.8803423
https://doi.org/10.1109/icip.2019.8803423
Autor:
Barbara Bobek-Billewicz, Izabela Burda, Jakub Nalepa, Maksym Walczak, Krzysztof Kotowski, Pablo Ribalta Lorenzo, Grzegorz Mrukwa, M. Marcinkiewicz, Michal Kawulok, Wojciech Dudzik, Michael P. Hayball, Pawel Wawrzyniak, Pawel Ulrych, Bartosz Machura
Publikováno v:
Artificial Intelligence in Medicine. 102:101769
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an important role in diagnosis and grading of brain tumors. Although manual DCE biomarker extraction algorithms boost the diagnostic yield of DCE-MRI by providing quantitative infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23722850fc01b2c7f6938f7c3b77ea0e
https://doi.org/10.1016/j.artmed.2019.101769
https://doi.org/10.1016/j.artmed.2019.101769
Autor:
Barbara Bobek-Billewicz, Jakub Nalepa, Pawel Wawrzyniak, Pawel Ulrych, Michal Kawulok, Grzegorz Mrukwa, Pablo Ribalta Lorenzo, Michael P. Hayball
Publikováno v:
Computer methods and programs in biomedicine. 176
Background and Objective Magnetic resonance imaging (MRI) is an indispensable tool in diagnosing brain-tumor patients. Automated tumor segmentation is being widely researched to accelerate the MRI analysis and allow clinicians to precisely plan treat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f18552aca45cd47014d485e7c2ada98
https://pubmed.ncbi.nlm.nih.gov/31200901
https://pubmed.ncbi.nlm.nih.gov/31200901
Publikováno v:
ICPRAM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12bf7d5594dee0ba29c7d0d7874a0409
https://doi.org/10.5220/0006652505200525
https://doi.org/10.5220/0006652505200525
Publikováno v:
ICPRAM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76aa2ac7f9d80adb3f7b6991b5008c6a
https://doi.org/10.5220/0006653305260533
https://doi.org/10.5220/0006653305260533
Autor:
Balaji Ganeshan, Sarah J. McQuaid, Michal Kawulok, Michael P. Hayball, Jakub Nalepa, Krzysztof Pawełczyk, Vineet Prakash
Publikováno v:
Image Analysis and Processing-ICIAP 2017 ISBN: 9783319685472
ICIAP (2)
ICIAP (2)
Automatic detection of lung lesions from computed tomography (CT) and positron emission tomography (PET) is an important task in lung cancer diagnosis. While CT scans make it possible to retrieve structural information, PET images reveal the function
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::749a9b55c88c86234de1f6c24a08a7cd
https://doi.org/10.1007/978-3-319-68548-9_29
https://doi.org/10.1007/978-3-319-68548-9_29
Autor:
Charles A. Cuenod, Kenneth A. Miles, Michael P. Hayball, Ashley M. Groves, Ernst Klotz, Roberto Alonzi, Sotirios Bisdas, Ting-Yim Lee, Thomas Brunner, Vicky Goh
Dynamic contrast-enhanced computed tomography (DCE-CT) assesses the vascular support of tumours through analysis of temporal changes in attenuation in blood vessels and tissues during a rapid series of images acquired with intravenous administration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c57d64b4d327cd7250b1e8ef2b1ca03a
https://doi.org/10.1007/s00330-012-2379-4
https://doi.org/10.1007/s00330-012-2379-4
Autor:
Balaji Ganeshan, Michael P. Hayball, Jakub Nalepa, Kenneth A. Miles, Janusz Szymanek, Stephen Brown
Publikováno v:
Computer Vision and Graphics ISBN: 9783319113302
ICCVG
ICCVG
Heterogeneity is a well-recognized feature of malignancy associated with increased tumor aggression and treatment resistance. Texture analysis (TA) of images of various modalities, including, among others, CT, MRI or PET, can be applied to quantify t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31ae9057519b128d124855ea039421f1
https://doi.org/10.1007/978-3-319-11331-9_53
https://doi.org/10.1007/978-3-319-11331-9_53
Autor:
Michael P. Hayball, Nagui M. Antoun, John D. Pickard, K.A. Miles, Jonathan H. Gillard, J.C. Mathews, P.W.P. Bearcroft, Pawan S. Minhas, C.E.L. Freer
Publikováno v:
Neurological Research. 22:457-464
Assessment of quantitative cerebral blood flow on a conventional fast CT machine without the use of specialized equipment may be valuable in the investigation of acute stroke and head injury. We aimed to compare a single slice CT perfusion sequence w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::976e324d2af2856602447afcc9fc0334
https://doi.org/10.1080/01616412.2000.11740700
https://doi.org/10.1080/01616412.2000.11740700
Autor:
David Parry Jones, Graham J.M. Alexander, Michael Allison, Clare Sims, Michael P. Hayball, David J. Lomas
Publikováno v:
Journal of Hepatology. 22:399-403
Monitoring treatment efficacy in patients with portal venous hypertension has been limited by the difficulty of direct or indirect assessment of portal vein pressure. The majority of currently available haemodynamic tests, such as hepatic vein wedge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57e8290ae04ee2a8872cf9c5cafc78dc
https://doi.org/10.1016/0168-8278(95)80101-4
https://doi.org/10.1016/0168-8278(95)80101-4