Items where Author is "Cunningham, Ryan"
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Article
Yap, Chuin Hong ORCID: https://orcid.org/0000-0003-2251-9308, Yap, Moi Hoon ORCID: https://orcid.org/0000-0001-7681-4287, Davison, Adrian K and Cunningham, Ryan ORCID: https://orcid.org/0000-0001-6883-6515 (2023) Self-supervised spontaneous latent-based facial expression sequence generation. IEEE Open Journal of Signal Processing, 4. pp. 304-312. ISSN 2644-1322
Cunningham, Ryan ORCID: https://orcid.org/0000-0001-6883-6515 and Loram, Ian ORCID: https://orcid.org/0000-0001-8125-6320 (2020) Estimation of Absolute States of Human Skeletal Muscle via Standard B-Mode Ultrasound Imaging and Deep Convolutional Neural Networks. Journal of the Royal Society Interface, 17 (162). ISSN 1742-5662
Cunningham, Ryan ORCID: https://orcid.org/0000-0001-6883-6515, Sánchez, María B, Butler, Penelope B, Southgate, Matthew J ORCID: https://orcid.org/0000-0001-7350-2448 and Loram, Ian D ORCID: https://orcid.org/0000-0001-8125-6320 (2019) Fully automated image-based estimation of postural point-features in children with cerebral palsy using deep learning. Royal Society Open Science, 6 (11). ISSN 2054-5703
Conference or Workshop Item
Yap, Chuin Hon, Yap, Moi Hoon ORCID: https://orcid.org/0000-0001-7681-4287, Davison, Adrian ORCID: https://orcid.org/0000-0002-6496-0209, Kendrick, Connah, Li, Jingting, Wang, Su-Jing and Cunningham, Ryan (2022) 3D-CNN for facial micro- and macro-expression spotting on long video sequences using temporal oriented reference frame. In: MM '22: The 30th ACM International Conference on Multimedia, 10 October 2022 - 14 October 2022, Lisboa, Portugal.
Thesis
Cunningham, Ryan (2015) The application of b-mode ultrasonography for analysis of human skeletal muscle. Doctoral thesis (PhD), Manchester Metropolitan University.
Dataset
Loram, Ian D ORCID: https://orcid.org/0000-0001-8125-6320, Siddique, Abdul, Sánchez, María B, Harding, Peter J ORCID: https://orcid.org/0000-0002-6801-1166, Silverdale, Monty, Kobylecki, Christopher and Cunningham, Ryan ORCID: https://orcid.org/0000-0001-6883-6515 (2019) Dataset accompanying publication "Objective analysis of neck muscle boundaries for cervical dystonia using ultrasound imaging and deep learning". [Dataset]