| 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 | 132 | 2021 |
| 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 | 112 | 2021 |
| 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 | 84 | 2021 |
| 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 | 59 | 2021 |
| 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 | 26 | 2021 |
| 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 | 23 | 2022 |
| 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 | 20 | 2021 |
| 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 | 19 | 2022 |
| 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 | 15 | 2021 |
| 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 | 14 | 2022 |
| The DFUC 2020 dataset: analysis towards diabetic foot ulcer detection. touchREVIEWS Endocrinol. 17, 5–11 (2021) B Cassidy | 12 | |
| Diabetic foot ulcers grand challenge MH Yap, B Cassidy, C Kendrick Germany: Springer, 2022 | 8 | 2022 |
| 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 | 8 | 2014 |
| 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 | 6 | 2021 |
| 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 | |
| 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 | 3 | 2023 |
| 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 | 2 | 2022 |
| 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 | 1 | 2022 |
| 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 | | 2024 |
| Dermoscopic dark corner artifacts removal: Friend or foe? SW Pewton, B Cassidy, C Kendrick, MH Yap Computer Methods and Programs in Biomedicine 244, 107986, 2024 | | 2024 |
Moi Hoon YapProfessor of Image and Vision Computing, Manchester Metropolitan UniversityVerified email at mmu.ac.uk
