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. 

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.  (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. 

noor nabilah talik sisin, emirah mohd zain, arina isamail, reduan abdullah, muhammad afiq khairil anuar, hamizah mohd zainudin, ahmad bazlie abdul kadir, ashrani aizzuddin abd rahni, wan nordiana rahman, aml almutery, raizulnasuha abd rashid.  (2025).  dosimetric evaluation of 3d-printed polylactic acid (pla) anthropomorphic radiotherapy head phantom using gafchromic ebt-xd films, osld nanodot and tld-100.  - sains malaysiana.  943 - 958. 

divyarao a/l vengadesarao, siti salasiah binti mokri, ashrani aizuddin abd rahni and asma amirah nazarudin.  (2025).  transformer network for brain glioma segmentation in mri images.  - international journal of advanced research.  714 - 722. 

yasmin farisya norazlan, siti salasiah mokri, nurul fatihah ali, ashrani aizuddin abd rahni, aqilah baseri huddin, noraishikin zulkarnain, ahmad abid hakimi md salleh and nor aziyatul izni.  (2024).  capsule network for brain tumors segmentation in mri images.  - international journal of advanced research (ijar).  1337 - 1346. 

ungku muhammad zuhairi ungku zakaria, seri mastura mustaza, mohd hairi mohd zaman, ashrani aizzuddin abd rahni.  (2024).  real-time robotic force control for automation of ultrasound scanning.  - international journal of advanced computer science and applications.  805 - 812. 

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. 

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.  - 2022 ieee nuclear science symposium and medical imaging conference (nss/mic).  1 - 3. 

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.  1 - 3. 

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. 

divyarao vengadesarao, siti salasiah mokri, ashrani aizuddin abd rahni, aqilah baseri huddin.  (2024).  segmentasi glioma dalam gambar mri menggunakan pembelajaran mendalam.  - hari inovasi mahasiswa jkees.  . 

ashrani aizzuddin bin abd rahni;mohd. marzuki bin mustafa;aini binti ab aziz;anuar mikdad bin muad;kalaivani a/p chellappan.  (2022).  enhancing pet/ct imaging of lung cancer with dynamic image reconstruction and probabilistic motion correction.  - .  . 

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.  - .  . 

mohd syuhaimi bin ab rahman;norhana binti arsad;ahmad ashrif bin a bakar;ashrani aizzuddin bin abd rahni;nazrul anuar bin nayan.  (2019).  ke arah sistem rangkaian wdm-pof masa hadapan dengan ciri-ciri keboleharapan dan keselamatan yang tinggi.  - .  1-5. 

mohd faisal ibrahim, aqilah baseri huddin, fazida hanim hashim, mardina abdullah, ashrani aizuddin abd rahni, seri mastura mustaza, hafizah husain, jamaliah abu bakar.  (2018).  pemantapan kemahiran pengaturcaraan melalui pembelajaran berasaskan pengalaman bagi pelajar kejuruteraan elektrik dan elektronik.  - prosiding peka 2017. k-novasi pengajaran dan pembelajaran ukm 2018: pendidikan 4.0: graduan kalis masa depan.  . 

divyarao vengadesarao, siti salasiah mokri, ashrani aizuddin abd rahni, aqilah baseri huddin.  (2024).  segmentasi glioma dalam gambar mri menggunakan pembelajaran mendalam.  - hari inovasi mahasiswa jkees.  . 

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.  - .  . 

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.  - .  . 

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. 

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.  - .  .