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Connah Kendrick
Connah Kendrick
Verified email at mmu.ac.uk
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Cited by
Cited by
Year
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations
B Cassidy, C Kendrick, A Brodzicki, J Jaworek-Korjakowska, MH Yap
Medical image analysis 75, 102305, 2022
1202022
A comprehensive review of past and present image inpainting methods
J Jam, C Kendrick, K Walker, V Drouard, JGS Hsu, MH Yap
Computer vision and image understanding 203, 103147, 2021
1002021
Samm long videos: A spontaneous facial micro-and macro-expressions dataset
CH Yap, C Kendrick, MH Yap
2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020
832020
3d-cnn for facial micro-and macro-expression spotting on long video sequences using temporal oriented reference frame
CH Yap, MH Yap, A Davison, C Kendrick, J Li, SJ Wang, R Cunningham
Proceedings of the 30th ACM International Conference on Multimedia, 7016-7020, 2022
362022
R-mnet: A perceptual adversarial network for image inpainting
J Jam, C Kendrick, V Drouard, K Walker, GS Hsu, MH Yap
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
282021
Diabetic foot ulcer grand challenge 2021: evaluation and summary
B Cassidy, C Kendrick, ND Reeves, JM Pappachan, C O’Shea, ...
Diabetic Foot Ulcers Grand Challenge, 90-105, 2021
252021
Translating clinical delineation of diabetic foot ulcers into machine interpretable segmentation
C Kendrick, B Cassidy, JM Pappachan, C O'Shea, CJ Fernandez, ...
arXiv preprint arXiv:2204.11618, 2022
192022
Development of diabetic foot ulcer datasets: an overview
MH Yap, C Kendrick, ND Reeves, M Goyal, JM Pappachan, B Cassidy
Diabetic Foot Ulcers Grand Challenge, 1-18, 2021
182021
Automated assessment of facial wrinkling: a case study on the effect of smoking
OFE Osman, RMI Elbashir, IE Abbass, C Kendrick, M Goyal, MH Yap
2017 IEEE international conference on systems, man, and cybernetics (SMC …, 2017
162017
Interpretability of a deep learning based approach for the classification of skin lesions into main anatomic body sites
J Jaworek-Korjakowska, A Brodzicki, B Cassidy, C Kendrick, MH Yap
Cancers 13 (23), 6048, 2021
152021
Symmetric skip connection Wasserstein GAN for high-resolution facial image inpainting
J Jam, C Kendrick, V Drouard, K Walker, GS Hsu, MH Yap
arXiv preprint arXiv:2001.03725, 2020
122020
Deep learning in magnetic resonance prostate segmentation: A review and a new perspective
D Gillespie, C Kendrick, I Boon, C Boon, T Rattay, MH Yap
arXiv preprint arXiv:2011.07795, 2020
112020
Towards real-time facial landmark detection in depth data using auxiliary information
C Kendrick, K Tan, K Walker, MH Yap
Symmetry 10 (6), 230, 2018
82018
Translating clinical delineation of diabetic foot ulcers into machine interpretable segmentation (2022)
C Kendrick
arXiv preprint arXiv:2204.11618, 0
8
Diabetic foot ulcers grand challenge
MH Yap, B Cassidy, C Kendrick
Germany: Springer, 2022
72022
An online tool for the annotation of 3d models
C Kendrick, K Tan, T Williams, MH Yap
2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017
62017
Anysize GAN: A solution to the image-warping problem
C Kendrick, D Gillespie, MH Yap
arXiv preprint arXiv:2003.03233, 2020
42020
Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation. arXiv 2022
C Kendrick, B Cassidy, JM Pappachan, C O’Shea, CJ Fernandez, ...
arXiv preprint arXiv:2204.11618, 0
4
On the robustness of machine learning models for stress and anxiety recognition from heart activity signals
J Henry, H Lloyd, M Turner, C Kendrick
IEEE Sensors Journal, 2023
32023
Quantifying the effect of image similarity on diabetic foot ulcer classification
IC Dipto, B Cassidy, C Kendrick, ND Reeves, JM Pappachan, ...
Diabetic Foot Ulcers Grand Challenge, 1-18, 2022
22022
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Articles 1–20