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Manu Goyal
Manu Goyal
Postdoctoral Research Associate B, Dartmouth College
Verified email at dartmouth.edu
Title
Cited by
Cited by
Year
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
2582020
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
2452019
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
2152018
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
1632018
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
1542017
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
1422020
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
1082021
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
1042019
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
1032020
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
842020
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
422018
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
372017
Region of Interest Detection in Dermoscopic Images for Natural Data-augmentation
M Goyal, YM Hoon
https://arxiv.org/abs/1807.10711, 2018
252018
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
242019
A refined deep learning architecture for diabetic foot ulcers detection
M Goyal, S Hassanpour
arXiv preprint arXiv:2007.07922, 2020
222020
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
212018
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
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
172019
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
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
102022
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