Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities M Goyal, T Knackstedt, S Yan, S Hassanpour Computers in biology and medicine 127, 104065, 2020 | 294 | 2020 |
Skin lesion segmentation in dermoscopic images with ensemble deep learning methods M Goyal, A Oakley, P Bansal, D Dancey, MH Yap Ieee Access 8, 4171-4181, 2019 | 264 | 2019 |
Dfunet: Convolutional neural networks for diabetic foot ulcer classification M Goyal, ND Reeves, AK Davison, S Rajbhandari, J Spragg, MH Yap IEEE Transactions on Emerging Topics in Computational Intelligence 4 (5 …, 2018 | 229 | 2018 |
Robust methods for real-time diabetic foot ulcer detection and localization on mobile devices M Goyal, ND Reeves, S Rajbhandari, MH Yap IEEE journal of biomedical and health informatics 23 (4), 1730-1741, 2018 | 175 | 2018 |
Fully Convolutional Networks for Diabetic Foot Ulcer Segmentation M Goyal, ND Reeves, S Rajbhandari, J Spragg, YM Hoon 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017 | 159 | 2017 |
Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques M Goyal, ND Reeves, S Rajbhandari, N Ahmad, C Wang, MH Yap Computers in biology and medicine 117, 103616, 2020 | 153 | 2020 |
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 | 115 | 2021 |
Breast ultrasound region of interest detection and lesion localisation MH Yap, M Goyal, F Osman, R Martí, E Denton, A Juette, R Zwiggelaar Artificial Intelligence in Medicine 107, 101880, 2020 | 108 | 2020 |
Breast ultrasound lesions recognition: end-to-end deep learning approaches MH Yap, M Goyal, FM Osman, R Martí, E Denton, A Juette, R Zwiggelaar Journal of medical imaging 6 (1), 011007-011007, 2019 | 108 | 2019 |
Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks M Goyal, HM Yap, S Hassanpour Proceedings of the 13th International Joint Conference on Biomedical …, 2020 | 87 | 2020 |
End-to-end breast ultrasound lesions recognition with a deep learning approach MH Yap, M Goyal, F Osman, E Ahmad, R Martí, E Denton, A Juette, ... Medical imaging 2018: biomedical applications in molecular, structural, and …, 2018 | 42 | 2018 |
Facial Skin Classification Using Convolutional Neural Networks JS Alarifi, M Goyal, AK Davison, D Dancey, R Khan, MH Yap International Conference Image Analysis and Recognition 10317, 479-485, 2017 | 38 | 2017 |
The effect of color constancy algorithms on semantic segmentation of skin lesions J hua Ng, M Goyal, B Hewitt, MH Yap Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and …, 2019 | 28 | 2019 |
Region of Interest Detection in Dermoscopic Images for Natural Data-augmentation M Goyal, YM Hoon https://arxiv.org/abs/1807.10711, 2018 | 25 | 2018 |
A refined deep learning architecture for diabetic foot ulcers detection M Goyal, S Hassanpour arXiv preprint arXiv:2007.07922, 2020 | 23 | 2020 |
Semantic segmentation of human thigh quadriceps muscle in magnetic resonance images E Ahmad, M Goyal, JS McPhee, H Degens, MH Yap arXiv preprint arXiv:1801.00415, 2018 | 22 | 2018 |
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 |
Skin lesion boundary segmentation with fully automated deep extreme cut methods M Goyal, J Ng, A Oakley, MH Yap Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and …, 2019 | 17 | 2019 |
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 | 16 | 2017 |
Bladder cancer prognosis using deep neural networks and histopathology images W Barrios, B Abdollahi, M Goyal, Q Song, M Suriawinata, R Richards, ... Journal of Pathology Informatics 13, 100135, 2022 | 12 | 2022 |