Zobrazeno 1 - 10
of 520
pro vyhledávání: '"Daniel A Alexander"'
Autor:
Wing Keung Cheung, Ashkan Pakzad, Nesrin Mogulkoc, Sarah Helen Needleman, Bojidar Rangelov, Eyjolfur Gudmundsson, An Zhao, Mariam Abbas, Davina McLaverty, Dimitrios Asimakopoulos, Robert Chapman, Recep Savas, Sam M. Janes, Yipeng Hu, Daniel C. Alexander, John R. Hurst, Joseph Jacob
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-30 (2024)
Abstract The morphology and distribution of airway tree abnormalities enable diagnosis and disease characterisation across a variety of chronic respiratory conditions. In this regard, airway segmentation plays a critical role in the production of the
Externí odkaz:
https://doaj.org/article/e9c934d8b58b43698c0b2721ecd382a0
Autor:
Daniel Cromb, Paddy J. Slator, Megan Hall, Anthony Price, Daniel C. Alexander, Serena J. Counsell, Jana Hutter
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Congenital heart disease (CHD) is the most common congenital malformation and is associated with adverse neurodevelopmental outcomes. The placenta is crucial for healthy fetal development and placental development is altered in pregnancy whe
Externí odkaz:
https://doaj.org/article/9598234c3b724f8da5b2d061f37d4322
Autor:
Marco Palombo, Vanya Valindria, Saurabh Singh, Eleni Chiou, Francesco Giganti, Hayley Pye, Hayley C. Whitaker, David Atkinson, Shonit Punwani, Daniel C. Alexander, Eleftheria Panagiotaki
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract This work presents a biophysical model of diffusion and relaxation MRI for prostate called relaxation vascular, extracellular and restricted diffusion for cytometry in tumours (rVERDICT). The model includes compartment-specific relaxation ef
Externí odkaz:
https://doaj.org/article/be152874c18a46fdbab712a92fa8a29f
Autor:
Erli Chen, Brian W. Pogue, Petr Bruza, Daniel A. Alexander, Nancy L. Andino, Savannah M. Decker, Danielle M. Gaudet, David J. Gladstone, Melinda J. Lake, Steven R. Levene, Jennifer L. Michelson, Hila L. Robinson, Debra N. Stallings, John E. Starkey, Lesley A. Jarvis
Publikováno v:
Technical Innovations & Patient Support in Radiation Oncology, Vol 24, Iss , Pp 1-5 (2022)
Purpose: To document experiences with one year of clinical implementation of the first Cherenkov imaging system and share the methods that we developed to utilize Cherenkov imaging to improve treatment delivery accuracy in real-time. Methods: A Chere
Externí odkaz:
https://doaj.org/article/3810d185101c42eea0ef1843c44439f9
Autor:
Yaozhi Lu, Shahab Aslani, An Zhao, Ahmed Shahin, David Barber, Mark Emberton, Daniel C. Alexander, Joseph Jacob
Publikováno v:
Heliyon, Vol 9, Iss 8, Pp e18695- (2023)
In this study, we present a hybrid CNN-RNN approach to investigate long-term survival of subjects in a lung cancer screening study. Subjects who died of cardiovascular and respiratory causes were identified whereby the CNN model was used to capture i
Externí odkaz:
https://doaj.org/article/e024530dc21649f282e4b781c8d3df3d
Autor:
Henry F.J. Tregidgo, Sonja Soskic, Juri Althonayan, Chiara Maffei, Koen Van Leemput, Polina Golland, Ricardo Insausti, Garikoitz Lerma-Usabiaga, César Caballero-Gaudes, Pedro M. Paz-Alonso, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias
Publikováno v:
NeuroImage, Vol 274, Iss , Pp 120129- (2023)
The human thalamus is a highly connected brain structure, which is key for the control of numerous functions and is involved in several neurological disorders. Recently, neuroimaging studies have increasingly focused on the volume and connectivity of
Externí odkaz:
https://doaj.org/article/41ba02e587244e2fb4a5199de07c8f03
Autor:
Hanyi Chen, Alexandra Young, Neil P. Oxtoby, Frederik Barkhof, Daniel C. Alexander, Andre Altmann
Publikováno v:
NeuroImage, Vol 271, Iss , Pp 120005- (2023)
In the past, methods to subtype or biotype patients using brain imaging data have been developed. However, it is unclear whether and how these trained machine learning models can be successfully applied to population cohorts to study the genetic and
Externí odkaz:
https://doaj.org/article/3124b647f9db44939e0795bda331a7fe
Publikováno v:
IEEE Access, Vol 10, Pp 34369-34378 (2022)
In this study, the long-term mortality in the National Lung Screening Trial (NLST) was investigated using a deep learning-based method. Binary classification of the non-lung-cancer mortality (i.e. cardiovascular and respiratory mortality) was perform
Externí odkaz:
https://doaj.org/article/796ca8365f04446dbd265e8f0287b9f4
Autor:
Eyjolfur Gudmundsson, An Zhao, Nesrin Mogulkoc, Frouke van Beek, Tinne Goos, Christopher J. Brereton, Marcel Veltkamp, Robert Chapman, Hendrik W. van Es, Helen Garthwaite, Bahareh Gholipour, Melissa Heightman, Arjun Nair, Katarina Pontoppidan, Recep Savas, Asia Ahmed, Marie Vermant, Omer Unat, Alex Procter, Laurens De Sadeleer, Emma Denneny, Timothy Wallis, Mark Duncan, Magali Taylor, Stijn Verleden, Sam M. Janes, Daniel C. Alexander, Athol U. Wells, Joanna Porter, Mark G. Jones, Iain Stewart, Coline H.M. van Moorsel, Wim Wuyts, Joseph Jacob
Publikováno v:
ERJ Open Research, Vol 9, Iss 2 (2023)
Background Computer quantification of baseline computed tomography (CT) radiological pleuroparenchymal fibroelastosis (PPFE) associates with mortality in idiopathic pulmonary fibrosis (IPF). We examined mortality associations of longitudinal change i
Externí odkaz:
https://doaj.org/article/5fc5df0263ac47c19e2f6c8941a02396
Autor:
Antonio Ricciardi, Francesco Grussu, Baris Kanber, Ferran Prados, Marios C. Yiannakas, Bhavana S. Solanky, Frank Riemer, Xavier Golay, Wallace Brownlee, Olga Ciccarelli, Daniel C. Alexander, Claudia A. M. Gandini Wheeler-Kingshott
Publikováno v:
Frontiers in Neuroinformatics, Vol 17 (2023)
IntroductionConventional MRI is routinely used for the characterization of pathological changes in multiple sclerosis (MS), but due to its lack of specificity is unable to provide accurate prognoses, explain disease heterogeneity and reconcile the ga
Externí odkaz:
https://doaj.org/article/1e14774b47374cddb8eb4fcb64b36b7e