Zobrazeno 1 - 10
of 317
pro vyhledávání: '"M Jorge, Cardoso"'
Autor:
Paul Nderitu, Joan M. Nunez do Rio, Laura Webster, Samantha Mann, M. Jorge Cardoso, Marc Modat, David Hopkins, Christos Bergeles, Timothy L. Jackson
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-9 (2024)
Abstract Background Predicting diabetic retinopathy (DR) progression could enable individualised screening with prompt referral for high-risk individuals for sight-saving treatment, whilst reducing screening burden for low-risk individuals. We develo
Externí odkaz:
https://doaj.org/article/ecdd8205b59949a096aa6decfaccc986
Autor:
Bruno Aristimunha, Alexandre Janoni Bayerlein, M. Jorge Cardoso, Walter Hugo Lopez Pinaya, Raphael Yokoingawa De Camargo
Publikováno v:
IEEE Access, Vol 11, Pp 34595-34602 (2023)
Sleep is essential for physical and mental health. Polysomnography (PSG) procedures are labour-intensive and time-consuming, making diagnosing sleep disorders difficult. Automatic sleep staging using Machine Learning (ML) - based methods has been stu
Externí odkaz:
https://doaj.org/article/520e73fa795b4efbbe590be9fb960e82
Autor:
Paul Nderitu, Joan M. Nunez do Rio, Ms Laura Webster, Samantha S. Mann, David Hopkins, M. Jorge Cardoso, Marc Modat, Christos Bergeles, Timothy L. Jackson
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Diabetic retinopathy (DR) screening images are heterogeneous and contain undesirable non-retinal, incorrect field and ungradable samples which require curation, a laborious task to perform manually. We developed and validated single and mult
Externí odkaz:
https://doaj.org/article/746cfe6d9f424c61b871fa675d86464b
Autor:
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc J. Gollub, Stephan H. Heckers, Henkjan Huisman, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Jennifer S. Golia Pernicka, Kawal Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sebastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Ildoo Kim, Klaus Maier-Hein, Dorit Merhof, Akshay Pai, Beomhee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
International challenges have become the de facto standard for comparative assessment of image analysis algorithms. Here, the authors present the results of a biomedical image segmentation challenge, showing that a method capable of performing well o
Externí odkaz:
https://doaj.org/article/b2b75489b22a48efa4cd6eef2bea9d67
Autor:
William Coath, Marc Modat, M. Jorge Cardoso, Pawel J. Markiewicz, Christopher A. Lane, Thomas D. Parker, Ashvini Keshavan, Sarah M. Buchanan, Sarah E. Keuss, Matthew J. Harris, Ninon Burgos, John Dickson, Anna Barnes, David L. Thomas, Daniel Beasley, Ian B. Malone, Andrew Wong, Kjell Erlandsson, Benjamin A. Thomas, Michael Schöll, Sebastien Ourselin, Marcus Richards, Nick C. Fox, Jonathan M. Schott, David M. Cash, for the Alzheimer's Disease Neuroimaging Initiative
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 15, Iss 2, Pp n/a-n/a (2023)
Abstract INTRODUCTION The Centiloid scale aims to harmonize amyloid beta (Aβ) positron emission tomography (PET) measures across different analysis methods. As Centiloids were created using PET/computerized tomography (CT) data and are influenced by
Externí odkaz:
https://doaj.org/article/89fc878da77c45b0abc21824ecd8a625
Autor:
Carole H. Sudre, Stefano Moriconi, Rafael Rehwald, Lorna Smith, Therese Tillin, Josephine Barnes, David Atkinson, Sébastien Ourselin, Nish Chaturvedi, Alun D. Hughes, H. Rolf Jäger, M. Jorge Cardoso
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Background and aimsRisk of stroke and dementia is markedly higher in people of South Asian and African Caribbean descent than white Europeans in the UK. This is unexplained by cardiovascular risk factors (CVRF). We hypothesized this might indicate ac
Externí odkaz:
https://doaj.org/article/eb0bd077f5f14765ac7395974d7879a0
Autor:
Manuel Wiesenfarth, Annika Reinke, Bennett A. Landman, Matthias Eisenmann, Laura Aguilera Saiz, M. Jorge Cardoso, Lena Maier-Hein, Annette Kopp-Schneider
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract Grand challenges have become the de facto standard for benchmarking image analysis algorithms. While the number of these international competitions is steadily increasing, surprisingly little effort has been invested in ensuring high quality
Externí odkaz:
https://doaj.org/article/18233fd8c57d48c38215d19972211289
Autor:
Amy P.K. Nelson, Robert J. Gray, James K. Ruffle, Henry C. Watkins, Daniel Herron, Nick Sorros, Danil Mikhailov, M. Jorge Cardoso, Sebastien Ourselin, Nick McNally, Bryan Williams, Geraint E. Rees, Parashkev Nachev
Publikováno v:
Patterns, Vol 3, Iss 5, Pp 100483- (2022)
Summary: The value of biomedical research—a $1.7 trillion annual investment—is ultimately determined by its downstream, real-world impact, whose predictability from simple citation metrics remains unquantified. Here we sought to determine the com
Externí odkaz:
https://doaj.org/article/f9484feb9cbb4f8aa7b49a16d34fe9b0
Autor:
Ellen H. Singleton, Yolande A. L. Pijnenburg, Carole H. Sudre, Colin Groot, Elena Kochova, Frederik Barkhof, Renaud La Joie, Howard J. Rosen, William W. Seeley, Bruce Miller, M. Jorge Cardoso, Janne Papma, Philip Scheltens, Gil D. Rabinovici, Rik Ossenkoppele
Publikováno v:
Alzheimer’s Research & Therapy, Vol 12, Iss 1, Pp 1-12 (2020)
Abstract Background We previously found temporoparietal-predominant atrophy patterns in the behavioral variant of Alzheimer’s disease (bvAD), with relative sparing of frontal regions. Here, we aimed to understand the clinico-anatomical dissociation
Externí odkaz:
https://doaj.org/article/e1dc7b87387c4f15999831c02d20aaea
Autor:
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus Maier-Hein, Sébastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-7 (2020)
Abstract Data-driven machine learning (ML) has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern healthcare systems. Existing medical data is not fully
Externí odkaz:
https://doaj.org/article/32cc7c58a8074ffe8d62799e5fe58178