C
C. A. Azlan
Researcher at University of Malaya
Publications - 20
Citations - 423
C. A. Azlan is an academic researcher from University of Malaya. The author has contributed to research in topics: Web application & Fluoroscopy. The author has an hindex of 7, co-authored 20 publications receiving 305 citations. Previous affiliations of C. A. Azlan include University of Aberdeen.
Papers
More filters
Journal ArticleDOI
Teaching and learning of postgraduate medical physics using Internet-based e-learning during the COVID-19 pandemic - A case study from Malaysia.
C. A. Azlan,Jeannie Hsiu Ding Wong,Li Kuo Tan,Muhammad Shahrun Nizam A.D. Huri,Ngie Min Ung,Vinod Pallath,Christina Phoay Lay Tan,Chai Hong Yeong,Kwan Hoong Ng +8 more
TL;DR: The implementation of e-learning in the Master of Medical Physics programme at the University of Malaya during a partial lockdown from March to June 2020 due to the COVID-19 pandemic is presented.
Journal ArticleDOI
The accuracy of pharmacokinetic parameter measurement in DCE-MRI of the breast at 3 T.
P. Di Giovanni,C. A. Azlan,C. A. Azlan,Trevor Ahearn,Scott Ian Kay Semple,Fiona J. Gilbert,Thomas William Redpath +6 more
TL;DR: Uncertainty in tissue T1 map and applied flip angle were shown to contribute to errors of up to 88% in K(trans) and 73% in v(e), demonstrating the importance of high temporal resolution, accurate T1 measurement and good B1 homogeneity.
Journal ArticleDOI
B1 transmission-field inhomogeneity and enhancement ratio errors in dynamic contrast-enhanced MRI (DCE-MRI) of the breast at 3T.
C. A. Azlan,C. A. Azlan,Pierluigi Di Giovanni,Trevor Ahearn,Scott Ian Kay Semple,Fiona J. Gilbert,Thomas William Redpath +6 more
TL;DR: To quantify B1 transmission‐field inhomogeneity in breast imaging of normal volunteers at 3T using 3D T1‐weighted spoiled gradient echo and to assess the resulting errors in enhancement ratio (ER) measured in dynamic contrast‐enhanced MRI (DCE‐MRI) studies of the breast.
Journal ArticleDOI
Intelligent Control for Self-erecting Inverted Pendulum Via Adaptive Neuro-fuzzy Inference System
TL;DR: The mathematical models of cart and single inverted pendulum system are presented and the Position-Velocity controller is designed to swing-up the pendulum considering physical behavior, and a Takagi-Sugeno fuzzy controller with Adaptive Neuro-Fuzzy Inference System (ANFIS) architecture is used to guarantee stability at unstable equilibrium position.
Journal ArticleDOI
Improved diagnostic accuracy in differentiating malignant and benign lesions using single-voxel proton MRS of the breast at 3 T MRI
Subapriya Suppiah,Kartini Rahmat,Mohammad Nazri Mohd-Shah,C. A. Azlan,Li Kuo Tan,Yang Faridah Abdul Aziz,Anushya Vijayananthan,A.L. Wui,Cheng Har Yip +8 more
TL;DR: Good correlation between tCho peaks and malignancy, enables SV (1)H MRS to be used as a clinically applicable, simple, yet non-invasive tool for improved specificity and diagnostic accuracy in detecting breast cancer.