dr. nor aniza binti azmi

pensyarah universiti

pusat kajian diagnostik, teraputik & penyiasatan (codtis)

 noraniza.azmi@ukm.edu.my

No. sambungan :  7292

No. rasmi:
UKM : 03 8921 5555



   Biografi/ Biography :

  • PENSYARAH UNIVERSITI

  • muhammad akmal ahmad, seri mastura mustaza, siti salasiah mokri, nor aniza azmi, rozilawati ahmad, rizauddin ramli, wan nordiana w abd rahman, ashrani aizzuddin abd rahni.  (2021).  development of a 3d printed motion mechanism for a 4d respiratory motion phantom.  - 2020 ieee-embs conference on biomedical engineering and sciences (iecbes).  132-135. 

     

    caryn chan mei hsien;fuad bin ismail;rozilawati binti ahmad;nor aniza binti azmi;noorazrul azmie bin yahya;wee lei hum.  (2021).  prediction of cancer related posttraumatic stress disorder (ptsd) among patients with cancer and their caregivers using machine learning.  -

     

    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. 

     

    nur hafizah binti mohad azmi, sawal marsait, mazli mohamad zain, nor aniza binti azmi, mohammad mudzakir bin zainal alam, mohd imran mohd, mohd farihan bin jaffar, stephanie loo.  (2021).  sinaran newsletter 2019-2021.  - sinaran newsletter 2019-2021.  1-133. 

     

    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. 

     

    nor aniza azmi, hairil rashmizal abdul razak, sobhan vinjamuri.  (2019).  pet-ct in esophageal cancer management: a cost effectiveness analysis study.  - malaysian journal of fundamental and applied sciences (mjfas).  121-124. 

     

    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. 

     

    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. 

     

    muhammad akmal ahmad, seri mastura mustaza, siti salasiah mokri, nor aniza azmi, rozilawati ahmad, rizauddin ramli, wan nordiana w abd rahman, ashrani aizzuddin abd rahni.  (2021).  development of a 3d printed motion mechanism for a 4d respiratory motion phantom.  - 2020 ieee-embs conference on biomedical engineering and sciences (iecbes).  132-135. 

     

    caryn chan mei hsien;fuad bin ismail;rozilawati binti ahmad;nor aniza binti azmi;noorazrul azmie bin yahya;wee lei hum.  (2021).  prediction of cancer related posttraumatic stress disorder (ptsd) among patients with cancer and their caregivers using machine learning.  -

     

    nur hafizah binti mohad azmi, sawal marsait, mazli mohamad zain, nor aniza binti azmi, mohammad mudzakir bin zainal alam, mohd imran mohd, mohd farihan bin jaffar, stephanie loo.  (2021).  sinaran newsletter 2019-2021.  - sinaran newsletter 2019-2021.  1-133. 

     

    nor aniza azmi, noraini ahmad wahid, nani adilah shuhaimi.  (2020).  clinical simulation module i: patient education management.  - 1-9. 

     

    kanaga kumari chelliah, daud ismail, pushpa thevi rajendran, et al.  (2016).  kod etika dan tata kelakuan profesion kesihatan bersekutu.  - 8. 

     

    nor aniza azmi, dr hairil rashmizal abdul razak, prof sobhan vinjamuri.  (2016).  the clinicians perspective on the utilization of pet-ct in oesophageal cancer management.  - international coference of translational molecular imaging and aerospace medicine & physiology showcase (ictmips 16).