Penerbitan SCOPUS/ERA

azmi nor aniza , mohd sukri nur afiqah , mustafa kamal muhamad ikhwan , ahmad rozilawati , yahya noorazrul azmie , ahmad fadzil muhammad safwan , suhaimi nani adilah , ahmad wahid noraini , hussin saiful izzuan , shuib liyana.  (2023).  revolutionizing radiotherapy communication skills training: an innovative chatbot-based prototype approach (scimort).  - journal of medical imaging and radiation sciences.  S14-S15. 

rohaizah mohamad @ ab rahim, muhammad safwan ahmad fadzil, nor aniza azmi, akmal sabarudin, abdul khaliq mohd saparudin, mohd taufik dollah, ung ngie min, noramaliza mohd noor.  (2023).  independent tps dose verification for photon beam shaped with multileaf collimator: evidence from single institution study.  - journal of medical imaging and radiation sciences.  S17. 

caryn mei hsien chan, ching sin siau, jyh eiin wong, noorazrul yahya, nor aniza azmi, shin ying chu, mahadir ahmad, agnes shu sze chong, lei hum wee, and jo pei tan.  (2023).  characterizing employees with primary and secondary caregiving responsibilities: informal care provision in malaysia.  - healthcare.  1-12. 

azmi nor aniza, johari zul iskandar, ab muin nur fa'izah, a latiff rukiah, ahmad fadzil muhammad safwan, ahmad razali rosmizan.  (2023).  assessment of standardized patient positioning protocols for image-guidedimrt of head and neck cancer: a single-centre study.  - journal of medical imaging and radiation sciences.  S15-S16. 

balqis mohd azman, saiful izzuan hussain, nor aniza azmi, muhammad zahin athir abd ghani, nor irfan danial norlen.  (2022).  prediction of distant recurrence in breast cancer using a deep neural network.  - revista internacional de métodos numéricos para cálculo y diseño en ingeniería / international journal of numerical methods for calculation and design in engineering (rimni).  1-11. 

sarah mohd ashhar siti salasiah mokri* ashrani aizzuddin abd rahni aqilah baseri huddin noraishikin zulkarnain nor aniza azmi thanuja mahaletchumy.  (2021).  comparison of deep learning convolutional neural network (cnn) architectures for ct lung cancer classification.  - international journal of advanced technology and engineering exploration (ijatee).  126-134. 

wun chin leong, nor aniza azmi, lei hum wee, harenthri devy alagir rajah, caryn mei hsien chan.  (2021).  validation and reliability of the bahasa malaysia language version of the acceptance of illness scale among malaysian patients with cancer.  - plos one.  1-11. 

ghulam murtaza, liyana shuib, ainuddin wahid abdul wahab, ghulam mujtaba, ghulam mujtaba, henry friday nweke, mohammed ali al-garadi, fariha zulfiqar, ghulam raza, nor aniza azmi.  (2020).  deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges.  - artificial intelligence review.  1655-1720. 

noorazrul yahya, nur khalis sukiman, nani adilah suhaimi, nor aniza azmi, hanani a. manan.  (2019).  how many roads must a malaysian walk down? mapping the accessibility of radiotherapy facilities in malaysia.  - plos one. 

abdul razak, h. r., azmi, n. a., vinjamuri, s..  (2018).  utilisation of pet ct in oesophageal cancer management: a clinicians perspective.  - pertanika journal of science & technology. 

azmi, n.a., razak, h.r.a., vinjamuri, s.c.  (2017).  pre and post pet-ct impact on oesophageal cancer management: a retrospective analysis.  - journal of physics : conference series.  1-5. 

yahya na, roslan n, ahmad r, azmi na.  (2017).  radiotherapy undersupply in sea countries : estimation of the need in 2025 and 2035.  - medical journal of malaysia.  39.