Degrees:
2013
Doctorate Engineering sciences
Assessment of Obstetric Ultrasound Images using Machine Learning Specialisation: Biomedical computing for innovation in women’s health imaging (with maternal/fetal healthcare focus) utilizing advancement in new innovations
2007
Master Engineering sciences
Thesis: Semi-Automated Methods for Femur Length Measurements in Ultrasound Images
1999
Undergraduate Engineering sciences
Publications resulting from Research
1. B Rahmatullah. Comparative Analysis of Automated Applications using Fetal Ultrasound Images, Indian Journal of Public Health Research & Development, 2019, 10 (4), 1271-1276.
2. KF Tamrin, B Rahmatullah. Classification of synthetic platelets in digital holographic microscopy by neural network, Borneo International Journal, 2019, 1 (3), 19-34
3. SM Samuri, B Rahmatullah, N Abdullah, A Ahmad, ZM Isa, H Hammed. Early Childhood Research Landscape on Children’s Profile: Coherent Taxonomy, Motivation, Open Challenges, Recommendations and, Pathways for Future Research, Child Indicators Research, 2018, 11(5), 1603–1630.
4. ZM Isa, MC Mustafa, J Bacotang, MA Shahadan, SM Samuri, BRahmatullah, N Abdullah, G Gnana. Three and Four Years Old Children in Childcare Centre, Intl Journal of Academic research in Business and Social Sciences, 2018, 8(12).
5. QM Yas, AA Zaidan, BB Zaidan, B Rahmatullah, HA Karim. Comprehensive insights into evaluation and benchmarking of real-time skin detectors: Review, open issues & challenges, and recommended solutions, Measurement, 2018, 114, 243-260.
6. QM Yas, AA Zadain, BB Zaidan, MB Lakulu, B Rahmatullah. Towards on develop a framework for the evaluation and benchmarking of skin detectors based on artificial intelligent models using multi-criteria decision-making techniques, International Journal of Pattern Recognition and Artificial Intelligence, 2017, 31(3).
7. KF Tamrin, NA Sheikh, B Rahmatullah. Numerical Analysis of Swirl Intensity in Turbulent Swirling Pipe Flows, Jurnal Teknologi, 2016, 78:5-10, 133-141.
8. ST Mahmud, B Rahmatullah. Image quality assessment based on properties of HVS and principle of image structure, 30th International Conference on Image and Vision Computing New Zealand (IVCNZ), 2015.
9. B Rahmatullah, A Papageorghiou, JA Noble. Integration of local and global features for anatomical object detection in ultrasound, N. Ayache et al. (Eds.): MICCAI 2012, Part III, Lecture Notes in Computer Science (LNCS) 7512, pp. 402–409, 2012.© Springer-Verlag Berlin Heidelberg, 201
10. S Rueda, S Fathima, CL Knight, M Yaqub, A Papageorghiou, B Rahmatullah, A Foi, M Maggioni, A Pepe, J Tohka, RV Stebbing, JE McManigle, A Ciurte, X Bresson, MB Cuadra, C Sun, GV Ponomarev, MS Gelfand, MD Kazanov, CW Wang, HC Chen, CW Peng, CM Hung, and JA Noble. Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge, IEEE Transactions in Medical Imaging (TMI), 2014
2. KF Tamrin, B Rahmatullah. Classification of synthetic platelets in digital holographic microscopy by neural network, Borneo International Journal, 2019, 1 (3), 19-34
3. SM Samuri, B Rahmatullah, N Abdullah, A Ahmad, ZM Isa, H Hammed. Early Childhood Research Landscape on Children’s Profile: Coherent Taxonomy, Motivation, Open Challenges, Recommendations and, Pathways for Future Research, Child Indicators Research, 2018, 11(5), 1603–1630.
4. ZM Isa, MC Mustafa, J Bacotang, MA Shahadan, SM Samuri, BRahmatullah, N Abdullah, G Gnana. Three and Four Years Old Children in Childcare Centre, Intl Journal of Academic research in Business and Social Sciences, 2018, 8(12).
5. QM Yas, AA Zaidan, BB Zaidan, B Rahmatullah, HA Karim. Comprehensive insights into evaluation and benchmarking of real-time skin detectors: Review, open issues & challenges, and recommended solutions, Measurement, 2018, 114, 243-260.
6. QM Yas, AA Zadain, BB Zaidan, MB Lakulu, B Rahmatullah. Towards on develop a framework for the evaluation and benchmarking of skin detectors based on artificial intelligent models using multi-criteria decision-making techniques, International Journal of Pattern Recognition and Artificial Intelligence, 2017, 31(3).
7. KF Tamrin, NA Sheikh, B Rahmatullah. Numerical Analysis of Swirl Intensity in Turbulent Swirling Pipe Flows, Jurnal Teknologi, 2016, 78:5-10, 133-141.
8. ST Mahmud, B Rahmatullah. Image quality assessment based on properties of HVS and principle of image structure, 30th International Conference on Image and Vision Computing New Zealand (IVCNZ), 2015.
9. B Rahmatullah, A Papageorghiou, JA Noble. Integration of local and global features for anatomical object detection in ultrasound, N. Ayache et al. (Eds.): MICCAI 2012, Part III, Lecture Notes in Computer Science (LNCS) 7512, pp. 402–409, 2012.© Springer-Verlag Berlin Heidelberg, 201
10. S Rueda, S Fathima, CL Knight, M Yaqub, A Papageorghiou, B Rahmatullah, A Foi, M Maggioni, A Pepe, J Tohka, RV Stebbing, JE McManigle, A Ciurte, X Bresson, MB Cuadra, C Sun, GV Ponomarev, MS Gelfand, MD Kazanov, CW Wang, HC Chen, CW Peng, CM Hung, and JA Noble. Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge, IEEE Transactions in Medical Imaging (TMI), 2014