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2020 – today
- 2022
[c8]Chuin Hong Yap
, Moi Hoon Yap, Adrian K. Davison, Connah Kendrick, Jingting Li, Su-Jing Wang, Ryan Cunningham:
3D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame. ACM Multimedia 2022: 7016-7020- 2021
- [j6]Chuin Hong Yap, Ryan Cunningham, Adrian K. Davison, Moi Hoon Yap:
Synthesising Facial Macro- and Micro-Expressions Using Reference Guided Style Transfer. J. Imaging 7(8): 142 (2021) - [i3]Chuin Hong Yap, Moi Hoon Yap, Adrian K. Davison, Ryan Cunningham:
Efficient Lightweight 3D-CNN using Frame Skipping and Contrast Enhancement for Facial Macro- and Micro-expression Spotting. CoRR abs/2105.06340 (2021) - 2020
- [j5]Ian Loram, Abdul Siddique, María B. Sánchez, Peter J. Harding, Monty Silverdale, Christopher Kobylecki, Ryan Cunningham:
Objective Analysis of Neck Muscle Boundaries for Cervical Dystonia Using Ultrasound Imaging and Deep Learning. IEEE J. Biomed. Health Informatics 24(4): 1016-1027 (2020)
2010 – 2019
- 2019
- [i2]Ryan J. Cunningham, Ian D. Loram:
Estimation of Absolute States of Human Skeletal Muscle via Standard B-Mode Ultrasound Imaging and Deep Convolutional Neural Networks. CoRR abs/1907.01649 (2019) - 2018
- [j4]Ryan Cunningham, María B. Sánchez, Gregory May, Ian Loram:
Estimating Full Regional Skeletal Muscle Fibre Orientation from B-Mode Ultrasound Images Using Convolutional, Residual, and Deconvolutional Neural Networks. J. Imaging 4(2): 29 (2018) - 2017
- [j3]Ryan J. Cunningham, Peter J. Harding, Ian D. Loram:
Real-Time Ultrasound Segmentation, Analysis and Visualisation of Deep Cervical Muscle Structure. IEEE Trans. Medical Imaging 36(2): 653-665 (2017) - [c7]Ryan Cunningham, Peter J. Harding, Ian Loram:
Deep Residual Networks for Quantification of Muscle Fiber Orientation and Curvature from Ultrasound Images. MIUA 2017: 63-73 - [i1]Ryan J. Cunningham, Peter J. Harding, Ian D. Loram:
The application of deep convolutional neural networks to ultrasound for modelling of dynamic states within human skeletal muscle. CoRR abs/1706.09450 (2017) - 2016
- [c6]Ian Loram, Ryan Cunningham, Jacopo Zenzeri, Henrik Gollee:
Intermittent control of unstable multivariate systems with uncertain system parameters. EMBC 2016: 17-20 - 2012
- [c5]John Darby, Baihua Li, Ryan Cunningham, Nicholas Costen:
Object localisation via action recognition. ICPR 2012: 817-820 - [c4]Peter J. Harding, Emma F. Hodson-Tole, Ryan Cunningham, Ian Loram, Nicholas Costen:
Automated detection of skeletal muscle twitches from B-mode ultrasound images: An application to motor neuron disease. ICPR 2012: 2630-2633 - 2010
- [j2]Ping Wang, Lei Wu, Ryan Cunningham, Cliff C. Zou:
Honeypot detection in advanced botnet attacks. Int. J. Inf. Comput. Secur. 4(1): 30-51 (2010) - [j1]Jaebum Kim, Ryan Cunningham, Brian James, Stefan Wyder, Joshua D. Gibson, Oliver Niehuis, Evgeny M. Zdobnov, Hugh M. Robertson, Gene E. Robinson, John H. Werren, Saurabh Sinha:
Functional Characterization of Transcription Factor Motifs Using Cross-species Comparison across Large Evolutionary Distances. PLoS Comput. Biol. 6(1) (2010)
2000 – 2009
- 2007
- [c3]Sherri Sparks, Shawn Embleton, Ryan Cunningham, Cliff Changchun Zou:
Automated Vulnerability Analysis: Leveraging Control Flow for Evolutionary Input Crafting. ACSAC 2007: 477-486 - 2006
- [c2]Cliff Changchun Zou, Ryan Cunningham:
Honeypot-Aware Advanced Botnet Construction and Maintenance. DSN 2006: 199-208 - 2005
- [c1]Ryan Cunningham, Eddie Kohler:
Making Events Less Slippery with eel. HotOS 2005
Coauthor Index
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