Article

Hossain, Mubdiul and Ali, Aziah and Hashim, Noramiza and Mohd Isa, Wan Noorshahida and Wan Zaki, Wan Mimi Diyana and Hussain, Aini (2023) Mobile Implementation of Retinal Image Analysis for Efficient Vessel, Optic Disc, and Lesion Detection. JOIV : International Journal on Informatics Visualization, 7 (3-2). p. 1022. ISSN 2549-9610

Mustafar, Ruslinda and Mohd Hishamuddin, Khairun Amalin and Mohd, Rozita and Kamaruzaman, Lydia and Wan Abdul Halim, Wan Haslina and Hsien, Yong Meng and Sze, Tan Kuan and Wan Zaki, Wan Mimi Diyana and Ali, Aziah and Bain, Arbaiyah (2023) Retinal changes and cardiac biomarker assessment in relation to chronic kidney disease: a single centre study. BMC Nephrology, 24 (338). ISSN 1471-2369

Wan Ahmad, Wan Siti Halimatul Munirah and Hussain, Aini and Wan Zaki, Wan Mimi Diyana and Ahmad Fauzi, Mohammad Faizal (2022) Lung Segmentation on Standard and Mobile Chest Radiographs using Oriented Gaussian Derivatives Filter. Jurnal Kejuruteraan, 34 (4). pp. 617-628. ISSN 0128-0198, 2289-7526

Ali, Aziah and M. Zamani, N. Syahira and Hussain, Aini and Abdul Mutalib, Haliza and Baseri Huddin, Aqilah and Wan Zaki, Wan Mimi Diyana (2020) Automated Pterygium Detection Using Deep Neural Network. IEEE Access, 8. pp. 191659-191672. ISSN 2169-3536

Ali, Aziah and Wan Zaki, Wan Mimi Diyana and Hussain, Aini (2019) Retinal blood vessel segmentation from retinal image using B-COSFIRE and adaptive thresholding. Indonesian Journal of Electrical Engineering and Computer Science, 13 (3). pp. 1199-1207. ISSN 2502-4752

Ali, Aziah and Hussain, Aini and Wan Zaki, Wan Mimi Diyana (2018) Effects of Color Constancy Algorithm on Retinal Blood Vessel Segmentation. Advanced Science Letters, 24 (3). 1555-1558(4). ISSN 1936-6612

Ali, Aziah and Hussain, Aini and Wan Zaki, Wan Mimi Diyana (2018) Segmenting Retinal Blood Vessels with Gabor Filter and Automatic Binarization. International Journal of Engineering & Technology, 7 (4). pp. 163-167. ISSN 2227-524X

Wan Zaki, Wan Mimi Diyana and Zulkifley, M. Asyraf and Hussain, Aini and Wan A. Halim, Wan Haslina and A. Mustafa, N. Badariah and Lim, Sin Ting (2016) Diabetic retinopathy assessment: Towards an automated system. Biomedical Signal Processing and Control, 24. pp. 72-82. ISSN 1746-8094

Book Section

Wan Ahmad, Wan Siti Halimatul Munirah and Ahmad Fauzi, Mohammad Faizal and Wan Zaki, Wan Mimi Diyana (2016) Abnormality detection for infection and fluid cases in chest radiograph. In: 2015 International Electronics Symposium (IES). IEEE, pp. 62-67. ISBN 978-1-4673-9345-4

Conference or Workshop Item

Nasiruddin, Z. H. and Wan Zaki, Wan Mimi Diyana and Hudaibah, S. Assyareefah and Amir Hamzah, Nur Asyiqin (2022) Automated Retinal Blood Vessel Feature Extraction in Digital Fundus Images. In: 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 13-15 September 2022, Kota Kinabalu, Malaysia.

Hossain, Mubdiul and Mohd Isa, Wan Noorshahida and Ali, Aziah and Wan Zaki, Wan Mimi Diyana and Hashim, Noramiza and Hussain, Aini (2022) Optimized Smartphone-based Implementation of B-COSFIRE Filter for Retinal Blood Vessel Segmentation. In: 2022 IEEE International Conference on Computing (ICOCO), 14-16 Nov 2022, Sabah, Malaysia.

Ali, Aziah and Wan Zaki, Wan Mimi Diyana and Hussain, Aini and Wan Abdul Halim, Wan Haslina and Hashim, Noramiza and Mohd Isa, Wan Noorshahida (2021) B-COSFIRE and Background Normalisation for Efficient Segmentation of Retinal Vessels. In: 2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA), 10-11 July 2021, Langkawi Island, Malaysia.

Ali, Aziah and Wan Zaki, Wan Mimi Diyana and Hussain, Aini and Wan Abdul Halim, Wan Haslina (2021) Retinal Width Estimation of High-Resolution Fundus Images For Diabetic Retinopathy Detection. In: 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020, 1 - 3 Mar 2021, Langkawi, Malaysia.

Thesis

Wan Zaki, Wan Mimi Diyana (2012) Content-based medical image analysis and retrieval of intracranial haemorrhages CT brain images. PhD thesis, Multimedia University.