Dr. Syed Mohammed Shamsul Islam (Shams)
Dr. Syed Mohammed Shamsul Islam (Shams)
Senior Lecturer in Computer Science, Edith Cowan University, Perth, Western Australia
Verified email at ecu.edu.au - Homepage
Cited by
Cited by
Fast and fully automatic ear detection using cascaded adaboost
SMS Islam, M Bennamoun, R Davies
2008 IEEE Workshop on Applications of Computer Vision, 1-6, 2008
Going deep in medical image analysis: concepts, methods, challenges, and future directions
F Altaf, SMS Islam, N Akhtar, NK Janjua
IEEE Access 7, 99540-99572, 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F Altaf, SMS Islam, NK Akhtar, N. and Janjua
IEEE Access 7, 99540-99572, 2019
Efficient detection and recognition of 3D ears
SMS Islam, R Davies, M Bennamoun, AS Mian
International Journal of Computer Vision 95 (1), 52-73, 2011
Deep learning on underwater marine object detection: A survey
M Moniruzzaman, SMS Islam, M Bennamoun, P Lavery
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2017
Multibiometric human recognition using 3D ear and face features
SMS Islam, R Davies, M Bennamoun, RA Owens, AS Mian
Pattern Recognition 46 (3), 613-627, 2013
A fast and fully automatic ear recognition approach based on 3D local surface features
SMS Islam, R Davies, AS Mian, M Bennamoun
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2008
Facial asymmetry assessment in adults using three-dimensional surface imaging
A Patel, SMS Islam, K Murray, MS Goonewardene
Progress in orthodontics 16 (1), 1-9, 2015
Modeling and Formal Verification of DHCP Using SPIN.
SMS Islam, MH Sqalli, S Khan
Int. J. Comput. Sci. Appl. 3 (2), 145-159, 2006
A review of recent advances in 3D ear-and expression-invariant face biometrics
SMS Islam, M Bennamoun, RA Owens, R Davies
ACM Computing Surveys (CSUR) 44 (3), 1-34, 2012
A fully automatic approach for human recognition from profile images using 2D and 3D ear data
S Islam, M Bennamoun, A Mian, R Davies
4th International Symposium on 3D Data Processing Visualization and Transmission, 2008
Doppler radar-based non-contact health monitoring for obstructive sleep apnea diagnosis: A comprehensive review
VP Tran, AA Al-Jumaily, SMS Islam
Big Data and Cognitive Computing 3 (1), 3, 2019
Biometric approaches of 2D-3D ear and face: A survey
SMS Islam, M Bennamoun, R Owens, R Davies
Advances in computer and information sciences and engineering, 509-514, 2008
Numerical simulation of pharyngeal airflow applied to obstructive sleep apnea: effect of the nasal cavity in anatomically accurate airway models
J Cisonni, AD Lucey, AJC King, SMS Islam, R Lewis, MS Goonewardene
Medical & biological engineering & computing 53 (11), 1129-1139, 2015
Score level fusion of ear and face local 3D features for fast and expression-invariant human recognition
SMS Islam, M Bennamoun, AS Mian, R Davies
International conference image analysis and recognition, 387-396, 2009
The k-means Algorithm: A Comprehensive Survey and Performance
M Ahmed, R Seraj, SMS Islam
Electronics 9 (8), 2020
The reliability of using postero-anterior cephalometry and cone-beam CT to determine transverse dimensions in clinical practice
B Tai, MS Goonewardene, K Murray, B Koong, SMS Islam
Australian orthodontic journal 30 (2), 132-142, 2014
The validity of transverse intermaxillary analysis by traditional PA cephalometry compared with cone-beam computed tomography
G Cheung, MS Goonewardene, SMS Islam, K Murray, B Koong
Australian orthodontic journal 29 (1), 86-95, 2013
Deep learning of facial depth maps for obstructive sleep apnea prediction
SMS Islam, H Mahmood, AA Al-Jumaily, S Claxton
2018 International Conference on Machine Learning and Data Engineering …, 2018
Fast Point Cloud Registration using Semantic Segmentation
G Truong, SZ Gilani, SMS Islam, D Suter
Digital Image Computing: Techniques and Applications (DICTA’19), 1-8, 2019
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