Zobrazeno 1 - 10
of 3 411
pro vyhledávání: '"Baltas, A."'
Autor:
Hartong, Nanna E., Sachpazidis, Ilias, Blanck, Oliver, Etzel, Lucas, Peeken, Jan C., Combs, Stephanie E., Urbach, Horst, Zaitsev, Maxim, Baltas, Dimos, Popp, Ilinca, Grosu, Anca-Ligia, Fechter, Tobias
Background: The aim of this study was to investigate the role of clinical, dosimetric and pretherapeutic magnetic resonance imaging (MRI) features for lesion-specific outcome prediction of stereotactic radiotherapy (SRT) in patients with brain metast
Externí odkaz:
http://arxiv.org/abs/2405.20825
Autor:
Sophia L. Bürkle, Dejan Kuhn, Tobias Fechter, Gianluca Radicioni, Nanna Hartong, Martin T. Freitag, Xuefeng Qiu, Efstratios Karagiannis, Anca-Ligia Grosu, Dimos Baltas, Constantinos Zamboglou, Simon K. B. Spohn
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract This retrospective, multi-centered study aimed to improve high-quality radiation treatment (RT) planning workflows by training and testing a Convolutional Neural Network (CNN) to perform auto segmentations of organs at risk (OAR) for prostat
Externí odkaz:
https://doaj.org/article/29344628f458470ab9b902c7416d82cc
Autor:
Tanja Sprave, Raluca Stoian, Natalia Volegova-Neher, Mark Gainey, Michael Kollefrath, Dimos Baltas, Anca-Ligia Grosu, Ingolf Juhasz-Böss, Rieke Schröder, Florin-Andrei Taran
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-9 (2024)
Abstract Background Recurrent and locally advanced gynecological malignancies have a poor prognosis. In particularly, pelvic local recurrence after previous radiotherapy and/or positive resection margins during surgical treatment for recurrent diseas
Externí odkaz:
https://doaj.org/article/4c1a7210b4b344988e7721fdbd9944c8
Autor:
Avaneesh Kumar Pandey, Nusrat Shafiq, Ashish Kumar Kakkar, Samir Malhotra, Beth Woods, Christopher Little, Tom Rhodes, Harriet Tuson, Zeshan Riaz, Tom Ashfield, Michael Corley, Ioannis Baltas
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-5 (2024)
Despite the constant development of antimicrobial resistance (AMR), few new antimicrobials are currently becoming available clinically. Alternative approaches, such as different mechanisms to fund their use, are being explored to encourage developmen
Externí odkaz:
https://doaj.org/article/c986fb808f0d49d4877a19b668d7566f
Publikováno v:
Geographies, Vol 4, Iss 3, Pp 513-536 (2024)
Floods are among the most widespread and recurrent natural disasters globally. In the European region, climate change leads to an increase in the incidence and intensity of flooding. For effective management of the phenomenon, the European Union inst
Externí odkaz:
https://doaj.org/article/597eb2bdcdf14d428ea6c14583071e69
Autor:
Ronak J. Shah, Ioannis Baltas
Publikováno v:
Clinical Medicine, Vol 24, Iss 6, Pp 100265- (2024)
Staphylococcus aureus bacteraemia (SAB) is a multi-system disease associated with a 20–25% mortality in the UK setting. Many patients with SAB are admitted acutely unwell and are treated by the general physician. This review summarises the key mana
Externí odkaz:
https://doaj.org/article/c379bfb044644de7a577915631ad74fa
Autor:
Giulio Rossi, Vasiliki Peppa, Mark Gainey, Michael Kollefrath, Tanja Sprave, Panagiotis Papagiannis, Dimos Baltas
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 32, Iss , Pp 100673- (2024)
TG-43-based dose calculations disregard tissue heterogeneities and finite scatter conditions, prompting the introduction of model-based dose calculation algorithms (MBDCAs) to improve accuracy in high-dose-rate (HDR) brachytherapy. This study evaluat
Externí odkaz:
https://doaj.org/article/6c6c4be7f69740a7839f187d449aa305
Autor:
Shah, Ronak J.1, Baltas, Ioannis2,3 ioannis.baltas.20@ucl.ac.uk
Publikováno v:
Clinical Medicine. Nov2024, Vol. 24 Issue 6, p1-5. 5p.
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 34, Iss 2, Pp 180-196 (2024)
Deep learning advanced to one of the most important technologies in almost all medical fields. Especially in areas, related to medical imaging it plays a big role. However, in interventional radiotherapy (brachytherapy) deep learning is still in an e
Externí odkaz:
https://doaj.org/article/d749ee244e254d729dbf559b55705074
Autor:
Athanasios Kafkaletos, Michael Mix, Ilias Sachpazidis, Montserrat Carles, Alexander Rühle, Juri Ruf, Anca L. Grosu, Nils H. Nicolay, Dimos Baltas
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract Background The purpose of this study was to evaluate how a retrospective correction of the partial volume effect (PVE) in [18F]fluoromisonidazole (FMISO) PET imaging, affects the hypoxia discoverability within a gross tumour volume (GTV). Th
Externí odkaz:
https://doaj.org/article/9ee0dcb996904ccfa6fb5b162e2f27fd