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. 

a. t. mohd amin; s. s. mokri; r. ahmad; f. ismail; a. a. abd. rahni.  (2024).  analysis of inter-fraction respiratory variability effect on data-driven respiratory signal estimation methods from cbct imaging.  - ieee nuclear science symposium/medical imaging conference.  -. 

a. t. mohd amin; s. s. mokri; r. ahmad; a. a. abd. rahni.  (2024).  evaluation of complimentary rebinning reconstruction for off-center flat panel detector cbct imaging.  - ieee nuclear science symposium/medical imaging conference.  -. 

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. 

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. 

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. 

suzana bt. shahar;noor ibrahim bin mohamed sakian;devinder kaur a/p ajit singh;ashrani aizzuddin bin abd rahni;mohd zul amin bin kamaruddin;mohd izuan bin ibrahim;nik farhan bin nik fuad;nurul fatin binti malek rivan.  (2025).  efficacy of short term high protien supplementation on body composition and physical fitness among multi-ethnic elderly with sarcopenia: a randomised controlled trial.  - .  . 

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.  - .  .