Zobrazeno 1 - 10
of 1 218
pro vyhledávání: '"Matthews Paul M"'
Assessing lesions and tracking their progression over time in brain magnetic resonance (MR) images is essential for diagnosing and monitoring multiple sclerosis (MS). Machine learning models have shown promise in automating the segmentation of MS les
Externí odkaz:
http://arxiv.org/abs/2412.10946
Assessment of lesions and their longitudinal progression from brain magnetic resonance (MR) images plays a crucial role in diagnosing and monitoring multiple sclerosis (MS). Machine learning models have demonstrated a great potential for automated MS
Externí odkaz:
http://arxiv.org/abs/2410.01766
Autor:
Qiao, Mengyun, McGurk, Kathryn A, Wang, Shuo, Matthews, Paul M., Regan, Declan P O, Bai, Wenjia
Understanding the structure and motion of the heart is crucial for diagnosing and managing cardiovascular diseases, the leading cause of global death. There is wide variation in cardiac shape and motion patterns, that are influenced by demographic, a
Externí odkaz:
http://arxiv.org/abs/2409.13825
Autor:
Basaran, Berke Doga, Zhang, Weitong, Qiao, Mengyun, Kainz, Bernhard, Matthews, Paul M., Bai, Wenjia
Data augmentation has become a de facto component of deep learning-based medical image segmentation methods. Most data augmentation techniques used in medical imaging focus on spatial and intensity transformations to improve the diversity of training
Externí odkaz:
http://arxiv.org/abs/2308.09026
Autor:
Qiao, Mengyun, Basaran, Berke Doga, Qiu, Huaqi, Wang, Shuo, Guo, Yi, Wang, Yuanyuan, Matthews, Paul M., Rueckert, Daniel, Bai, Wenjia
Cardiovascular disease, the leading cause of death globally, is an age-related disease. Understanding the morphological and functional changes of the heart during ageing is a key scientific question, the answer to which will help us define important
Externí odkaz:
http://arxiv.org/abs/2208.13146
Understanding the intensity characteristics of brain lesions is key for defining image-based biomarkers in neurological studies and for predicting disease burden and outcome. In this work, we present a novel foreground-based generative method for mod
Externí odkaz:
http://arxiv.org/abs/2208.02135
Autor:
Ntusi Ntobeko A, Francis Jane M, Matthews Paul M, Wordsworth Paul B, Neubauer Stefan, Karamitsos Theodoros
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 15, Iss Suppl 1, p O47 (2013)
Externí odkaz:
https://doaj.org/article/7d4fb75de2444db9905119f9d75d396c
Autor:
Ntusi Ntobeko A, Francis Jane M, Matthews Paul M, Wordsworth Paul B, Neubauer Stefan, Karamitsos Theodoros
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 15, Iss Suppl 1, p E56 (2013)
Externí odkaz:
https://doaj.org/article/5a6bf6bfbfb54aba87ca81c9209a5c3e
Autor:
Ntusi Ntobeko A, Francis Jane M, Matthews Paul M, Wordsworth Paul B, Neubauer Stefan, Karamitsos Theodoros
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 15, Iss Suppl 1, p P221 (2013)
Externí odkaz:
https://doaj.org/article/a409da808da84c189b963e7597d5fccb
Publikováno v:
In The Journal of Nutrition August 2024 154(8):2470-2480