Παρακολούθηση
Bill Cassidy
Bill Cassidy
Manchester Metropolitan University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα mmu.ac.uk
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Παρατίθεται από
Παρατίθεται από
Έτος
Analysis of the ISIC Image Datasets: Usage, Benchmarks and Recommendations
B Cassidy, C Kendrick, A Brodzicki, J Jaworek-Korjakowska, MH Yap
Medical Image Analysis, 2021
2032021
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation
MH Yap, R Hachiuma, A Alavi, R Brüngel, B Cassidy, M Goyal, H Zhu, ...
Computers in biology and medicine 135, 104596, 2021
1612021
The DFUC 2020 dataset: analysis towards diabetic foot ulcer detection
B Cassidy, ND Reeves, JM Pappachan, D Gillespie, C O’Shea, ...
touchREVIEWS in Endocrinology 17 (1), 5, 2021
1062021
Analysis towards classification of infection and ischaemia of diabetic foot ulcers
MH Yap, B Cassidy, JM Pappachan, C O’Shea, D Gillespie, ND Reeves
2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021
922021
Translating clinical delineation of diabetic foot ulcers into machine interpretable segmentation
C Kendrick, B Cassidy, JM Pappachan, C O’Shea, CJ Fernandez, ...
Diabetic Foot Ulcers Grand Challenge, 1-14, 2024
402024
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
392021
A cloud-based deep learning framework for remote detection of diabetic foot ulcers
B Cassidy, ND Reeves, JM Pappachan, N Ahmad, S Haycocks, ...
IEEE Pervasive Computing 21 (2), 78-86, 2022
342022
The role of artificial intelligence technology in the care of diabetic foot ulcers: the past, the present, and the future
JM Pappachan, B Cassidy, CJ Fernandez, V Chandrabalan, MH Yap
World Journal of Diabetes 13 (12), 1131, 2022
332022
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
302021
Diabetic foot ulcers segmentation challenge report: Benchmark and analysis
MH Yap, B Cassidy, M Byra, T Liao, H Yi, A Galdran, YH Chen, R Brüngel, ...
Medical Image Analysis 94, 103153, 2024
222024
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
212021
Diabetic foot ulcers grand challenge
MH Yap, B Cassidy, C Kendrick
Germany: Springer, 2022
152022
The DFUC 2020 dataset: analysis towards diabetic foot ulcer detection. touchREVIEWS Endocrinol. 17, 5–11 (2021)
B Cassidy
15
Artificial intelligence for automated detection of diabetic foot ulcers: A real-world proof-of-concept clinical evaluation
B Cassidy, MH Yap, JM Pappachan, N Ahmad, S Haycocks, C O'Shea, ...
Diabetes Research and Clinical Practice 205, 110951, 2023
132023
Diabetic foot ulcer grand challenge 2024: overview and baseline methods
R Brüngel, C Kendrick, B Cassidy, B Bracke, CM Friedrich, ND Reeves, ...
Diabetic Foot Ulcers Grand Challenge, 109-124, 2024
112024
Novel technologies for detection and prevention of diabetic foot ulcers
ND Reeves, B Cassidy, CA Abbott, MH Yap
The Science, Etiology and Mechanobiology of Diabetes and its Complications …, 2021
102021
Mobile framework for cognitive assessment: Trail making test and reaction time test
B Cassidy, G Stringer, MH Yap
2014 IEEE International Conference on Computer and Information Technology …, 2014
102014
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
72022
Diabetic Foot Ulcer Grand Challenge 2022 Summary
C Kendrick, B Cassidy, ND Reeves, JM Pappachan, C O’Shea, ...
Diabetic Foot Ulcers Grand Challenge, 115-123, 2022
72022
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
5
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