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Mundher Al-Shabi
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Facial expression recognition using a hybrid CNN–SIFT aggregator
T Connie, M Al-Shabi, WP Cheah, M Goh
International workshop on multi-disciplinary trends in artificial …, 2017
1752017
Lung nodule classification using deep local–global networks
M Al-Shabi, BL Lan, WY Chan, KH Ng, M Tan
International journal of computer assisted radiology and surgery 14, 1815-1819, 2019
832019
Gated-Dilated Networks for Lung Nodule Classification in CT Scans
M Al-Shabi, HK Lee, M Tan
IEEE Access 7, 178827 - 178838, 2019
522019
ProCAN: Progressive growing channel attentive non-local network for lung nodule classification
M Al-Shabi, K Shak, M Tan
Pattern Recognition 122, 108309, 2022
422022
Classification of tuberculosis with SURF spatial pyramid features
FHO Alfadhli, AA Mand, MS Sayeed, KS Sim, M Al-Shabi
2017 international conference on robotics, automation and sciences (ICORAS), 1-5, 2017
212017
Smart content recognition from images using a mixture of convolutional neural networks
T Connie, M Al-Shabi, M Goh
IT Convergence and Security 2017: Volume 1, 11-18, 2017
212017
3D axial-attention for lung nodule classification
M Al-Shabi, K Shak, M Tan
International journal of computer assisted radiology and surgery 16 (8 …, 2021
202021
Cribriform pattern detection in prostate histopathological images using deep learning models
M Singh, EM Kalaw, W Jie, M Al-Shabi, CF Wong, DM Giron, KT Chong, ...
arXiv preprint arXiv:1910.04030, 2019
72019
Comparison of two-dimensional synthesized mammograms versus original digital mammograms: A quantitative assessment
M Tan, M Al-Shabi, WY Chan, L Thomas, K Rahmat, KH Ng
Medical & biological engineering & computing 59, 355-367, 2021
52021
A new semi-supervised self-training method for lung cancer prediction
K Shak, M Al-Shabi, A Liew, BL Lan, WY Chan, KH Ng, M Tan
arXiv preprint arXiv:2012.09472, 2020
52020
Lung Nodule Classification Using Scale-Invariant Neural Networks
M Al-Shabi
Monash University, 2021
2021
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Articles 1–11