dr. ashrani aizzuddin bin abd rahni

pensyarah universiti

jabatan kejuruteraan elektrik, elektronik & sistem



   Biografi/ Biography :


  • A. A. Abd. Rahni received B.A and M.Eng degrees from the University of Cambridge and Ph.D. from the University of Surrey, United Kingdom. He is a Senior Lecturer at Universiti Kebangsaan Malaysia (UKM) and a graduate member of the Board of Engineers Malaysia and the IEEE. His research interest are volumetric medical image computing and image guided computer aided medical diagnosis and intervention.

  • n. n. t. sisin, n. zamri, r. abdullah, a n. abdullah, a. a. abd. rahni, w. n. rahman.  (2023).  radiation attenuation evaluation of different density of polylactic acid (pla) and tough pla as tissue equivalent materials for radiotherapy phantom.  - proceedings of the 19th asian workshop on polymer processing (awpp 2022).  99-109. 

     

    wan nordiana rahman, h. abdul razak, n. n. t. sisin, r. abdullah, a. n. abdullah, a. a. a. rahni.  (2023).  customized 3d-printed tpu slab phantom for 6 mv photon beams radiotherapy.  - proceedings of the 19th asian workshop on polymer processing (awpp 2022).  87-97. 

     

    siti salasiah binti mokri;ashrani aizzuddin bin abd rahni;nor aniza binti azmi;thanuja a/p mahaletchumy;aqilah binti baseri huddin;noraishikin binti zulkarnain.  (2023).  conjoining generative adversarial network (gan) and convolutional neural network (cnn) for effective lung lesions classification of pet/ct images.  -

     

    siti salasiah binti mokri;fuad bin ismail;shahizon azura binti mohamed mukari;ashrani aizzuddin bin abd rahni;noorazrul azmie bin yahya.  (2023).  convolutional neural and capsule networks prognosis model for brain glioma patients from mri images.  -

     

    nurul fatihah binti ali siti salasiah mokri syahirah abd halim , noraishikin zulkarnain4 ashrani aizuddin abd rahni seri mastura mustaza.  (2023).  comparison review on brain tumor classification and segmentation using convolutional neural network (cnn) and capsule network.  - international journal of advanced computer science and applications.  723-731. 

     

    siti salasiah mokri, m iqbal saripan, ashrani abd rahni, abdul jalil nordin, mohammad hamiruce marhaban.  (2020).  thoracic hybrid pet/ct registration using improved hybrid feature intensity multimodal demon.  - radiation physics and chemistry.  1-20. 

     

    omar ibrahim alirr, ashrani aizzuddin abd. rahni.  (2020).  automatic atlas-based liver segmental anatomy identification for hepatic surgical planning.  - international journal of computer assisted radiology and surgery.  239-248. 

     

    omar ibrahim alirr, ashrani aizzuddin abd. rahni.  (2019).  survey on liver tumour resection planning system: steps, techniques, and parameters.  - journal of digital imaging.  1-20. 

     

    omar ibrahim alirr, ashrani aizzuddin abd. rahni, ehsan golkar.  (2018).  an automated liver tumour segmentation from abdominal ct scans for hepatic surgical planning.  - international journal of computer assisted radiology and surgery. 

     

    s. s. mokri, m. i. saripan, a. a. abd rahni, a. j. nordin, s. hashim, m. h. marhaban.  (2016).  pet image reconstruction incorporating 3d mean-median sinogram filtering.  - ieee transactions of nuclear science.  157-169. 

     

    omar ibrahim alirr, ashrani aizzuddin abd rahni.  (2023).  hepatic vessels segmentation using deep learning and preprocessing enhancement.  - journal of applied clinical medical physics.  1-11. 

     

    adam tan mohd amin, siti salasiah mokri, rozilawati ahmad, ashrani aizzuddin abd rahni.  (2019).  development of a 4d digital phantom for cone-beam ct (cbct) imaging on the varian on-board imager (obi).  - international journal of integrated engineering.  90-99. 

     

    rhodri l. smith, ashrani aizzudin abd rahni, john jones, and kevin wells.  (2019).  a kalman-based approach with em optimization for respiratory motion modeling in medical imaging.  - ieee transactions on radiation and plasma medical sciences.  410-420. 

     

    omar ibrahim alirr, ashrani aizzuddin abd. rahni.  (2018).  automatic liver segmentation from ct scans using intensity analysis and level-set active contours.  - journal of engineering science and technology. 

     

    noorfazila kamal, siti s. mokri, norazreen a. aziz, norhana arsad, iskandar yahya, ashrani a. a. rahni, mohd h. h. mokhtar.  (2017).  external assessors perception towards final year project.  - journal of engineering science and technology.  22-30. 

     

    nurul fatihah binti ali siti salasiah mokri syahirah abd halim , noraishikin zulkarnain4 ashrani aizuddin abd rahni seri mastura mustaza.  (2023).  comparison review on brain tumor classification and segmentation using convolutional neural network (cnn) and capsule network.  - international journal of advanced computer science and applications.  723-731. 

     

    omar ibrahim alirr, ashrani aizzuddin abd rahni.  (2023).  hepatic vessels segmentation using deep learning and preprocessing enhancement.  - journal of applied clinical medical physics.  1-11. 

     

    adam tan mohd amin, siti salasiah mokri, rozilawati ahmad, fuad ismail, ashrani aizzuddin abd rahni.  (2021).  evaluation methodology for respiratory signal extraction from clinical cone-beam ct (cbct) using data-driven methods.  - international journal of integrated engineering.  1-8. 

     

    nur nabila mohd ishan, siti salasiah mokri, ashrani aizuddin abd rahni, nurul fatihah ali.  (2021).  classification of lung nodules in ct images using conditional generative adversarial convolutional neural network.  - international journal of nonlinear analysis and applications.  1047-1058. 

     

    omar ibrahim alirr, ashrani aizzuddin abd rahni.  (2021).  an automated liver vasculature segmentation from ct scans for hepatic surgical planning.  - international journal of integrated engineering.  118-200. 

     

    n. n. t. sisin, n. zamri, r. abdullah, a n. abdullah, a. a. abd. rahni, w. n. rahman.  (2023).  radiation attenuation evaluation of different density of polylactic acid (pla) and tough pla as tissue equivalent materials for radiotherapy phantom.  - proceedings of the 19th asian workshop on polymer processing (awpp 2022).  99-109. 

     

    wan nordiana rahman, h. abdul razak, n. n. t. sisin, r. abdullah, a. n. abdullah, a. a. a. rahni.  (2023).  customized 3d-printed tpu slab phantom for 6 mv photon beams radiotherapy.  - proceedings of the 19th asian workshop on polymer processing (awpp 2022).  87-97. 

     

    ungku m. z. ungku zakaria, seri m. mustaza, mohd h. mohd zaman, ashrani a. abd. rahni.  (2023).  development of real-time contact force control of a collaborative robot for automated ultrasound scanning.  - 2022 ieee-embs conference on biomedical engineering and sciences (iecbes).  334-337. 

     

    nurul fatihah ali, nurul nadhirah md nasry, idris shah, siti salasiah mokri, ashrani aizuddin abd rahni.  (2022).  segmentation of brain glioma in mri images using deep learning.  - 2022 ieee 20th student conference on research and development (scored).  45-50. 

     

    muhammad syabil azman, farli rossi, noraishikin zulkarnain, siti salasiah mokri, ashrani aizuddin abd rahni, nurul fatihah ali.  (2022).  classification of lung nodule ct images using gan variants and cnn.  - 2022 ieee international conference on computing (icoco).  310-315. 

     

    siti salasiah binti mokri;fuad bin ismail;shahizon azura binti mohamed mukari;ashrani aizzuddin bin abd rahni;noorazrul azmie bin yahya.  (2023).  convolutional neural and capsule networks prognosis model for brain glioma patients from mri images.  -

     

    siti salasiah binti mokri;ashrani aizzuddin bin abd rahni;nor aniza binti azmi;thanuja a/p mahaletchumy;aqilah binti baseri huddin;noraishikin binti zulkarnain.  (2023).  conjoining generative adversarial network (gan) and convolutional neural network (cnn) for effective lung lesions classification of pet/ct images.  -

     

    sarah mohd ashhar , siti salasiah mokri , ashrani aizzuddin abd rahni , aqilah baseri huddin , noraishikin zulkarnain , nor aniza azmi , thanuja mahaletchumy.  (2023).  comparison of deep learning convolutional neural network (cnn) architectures for ct lung cancer classification.  - 2020 3rd international conference on recent advances in engineering, computing and applied sciences (raecas 2020).  1-17. 

     

    ashrani aizzuddin bin abd rahni;mohd marzuki bin mustafa;fuad bin ismail;rozilawati binti ahmad;siti salasiah binti mokri;nor aniza binti azmi;hanani binti abdul manan.  (2023).  deep learning based 4d respiratory motion estimation for lung cancer radiotherapy treatment delivery: a simulation study.  -

     

    nasharuddin bin zainal;mohd. marzuki bin mustafa;marjmin binti osman;ashrani aizzuddin bin abd rahni;wan mimi diyana binti wan zaki;mohammad tariqul islam.  (2022).  identifying region-of-interest (roi) for moving medical images on real time wireless communication system.  -