Norlisah Ramli

ORCID: 0000-0001-7497-8093
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About
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Research Areas
  • Advanced Neuroimaging Techniques and Applications
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Traumatic Brain Injury Research
  • Brain Tumor Detection and Classification
  • Advanced MRI Techniques and Applications
  • Multiple Sclerosis Research Studies
  • Craniofacial Disorders and Treatments
  • Neurological disorders and treatments
  • Glioma Diagnosis and Treatment
  • Genetic Neurodegenerative Diseases
  • Parkinson's Disease Mechanisms and Treatments
  • Cerebral Venous Sinus Thrombosis
  • Facial Trauma and Fracture Management
  • Spinal Fractures and Fixation Techniques
  • Neurological and metabolic disorders
  • AI in cancer detection
  • Fetal and Pediatric Neurological Disorders
  • Cerebrospinal fluid and hydrocephalus
  • Intracranial Aneurysms: Treatment and Complications
  • Radiomics and Machine Learning in Medical Imaging
  • Bone and Joint Diseases
  • Cerebral Palsy and Movement Disorders
  • Cardiac Arrest and Resuscitation
  • Moyamoya disease diagnosis and treatment
  • Vascular Malformations Diagnosis and Treatment

University of Malaya
2016-2025

Academy of Sciences Malaysia
2023-2025

Subang Jaya Medical Centre
2025

University of Wisconsin–Madison
2024

Universiti Malaysia Sarawak
2024

Nanyang Technological University
2023

Laboratoire d’Imagerie Biomédicale
2022

University Malaya Medical Centre
2009-2021

Weatherford College
2021

University of Kuala Lumpur
2019

We explored the prognostic value of diffusion tensor imaging (DTI) parameters selected white matter (WM) tracts in predicting neuropsychological outcome, both at baseline and 6 months later, among well-characterized patients diagnosed with mild traumatic brain injury (mTBI). Sixty-one mTBI (mean age=27.08; standard deviation [SD], 8.55) underwent scanning an average 10 h (SD, 4.26) post-trauma along assessment their performance 4.35 7.08) upon full Glasgow Coma Scale recovery. Results were...

10.1089/neu.2014.3750 article EN Journal of Neurotrauma 2015-05-08

Coronavirus disease 2019 (COVID-19) is a caused by novel strain of coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), severely affecting the lungs. Our study aims to combine both quantitative and qualitative analysis convolutional neural network (CNN) model diagnose COVID-19 on chest X-ray (CXR) images. We investigated 18 state-of-the-art CNN models with transfer learning, which include AlexNet, DarkNet-19, DarkNet-53, DenseNet-201, GoogLeNet, Inception-ResNet-v2,...

10.1007/s42979-022-01545-8 article EN public-domain SN Computer Science 2023-01-05

Abstract Tuberculous meningitis (TBM) causes significant morbidity and mortality. The primary objective was to re-examine the concept of “TB zone” “ischaemic in cerebral infarction patients with tuberculous meningitis. secondary evaluate infarction, vasculitis vasospasm infections. Between 2009 2014, TBM were recruited. Neuroimaging performed findings recorded. Infarcts classified based on arterial supply Hsieh’s classification. Fifty-one recruited whom 34 (67%) had infarction. Based...

10.1038/srep38802 article EN cc-by Scientific Reports 2016-12-13

Background From the 17th to 19th January 2012, a group of 92 college students and teachers attended retreat in hotel located on Pangkor Island, off west coast Peninsular Malaysia. Following onset symptoms many participants who presented our institute, an investigation was undertaken which ultimately identified Sarcocystis nesbitti as cause this outbreak. Methodology/Principal Findings All were identified, clinical epidemiological information obtained via review self-reported answers...

10.1371/journal.pntd.0002876 article EN cc-by PLoS neglected tropical diseases 2014-05-22

Abstract Background Osteoarthritis (OA) is considered an established risk factor for falls. Published studies evaluating secondary falls prevention strategies among individuals with OA are limited. Objective To evaluate the effect of a personalized home‐based exercise program to improve postural balance, fear falling, and in older fallers knee gait balance problems. Design Randomized controlled trial. Setting University Malaya Medical Centre. Participants Fallers who had both radiological...

10.1016/j.pmrj.2017.08.405 article EN PM&R 2017-08-18

COVID-19 and pneumonia detection using medical images is a topic of immense interest in healthcare research. Various advanced imaging machine learning techniques have been presented to detect these respiratory disorders accurately. In this work, we proposed novel system an exemplar hybrid fused deep feature generator with X-ray images. The Exemplar COVID-19FclNet9 comprises three basic steps: generation, iterative selection classification. novelty work the extraction pre-trained...

10.3390/ijerph18158052 article EN International Journal of Environmental Research and Public Health 2021-07-29

Abstract An outbreak of fever associated with myalgia and myositis occurred in 2012 among 89 92 college students teachers who visited Pangkor Island, Malaysia. The Sarcocystis nesbitti 18S rRNA gene sarcocysts were obtained from muscle tissues 2 students. Our findings indicate emergence S. infections humans

10.3201/eid1912.120530 article EN cc-by Emerging infectious diseases 2013-11-05

Tumor-related epilepsy is a prevalent condition in patients with gliomas. Accurate prediction of crucial for early treatment. This study aimed to evaluate the novel application eXtreme Gradient Boost (XGBoost) machine learning (ML) algorithm into radiomics model predicting preoperative tumor-related (PTRE). Its performance was compared 4 conventional ML algorithms, including least absolute shrinkage and selection operator (LASSO), elastic net, random forest, support vector machine. used four...

10.1088/2057-1976/adbdd3 article EN Biomedical Physics & Engineering Express 2025-03-07

Background & Objective: Moyamoya vasculopathy (MMV) is characterised by the progressive occlusion of distal internal cerebral arteries (ICA) and its terminal branches, classified into disease (MMD) syndrome (MMS). Differentiating between MMD MMS crucial for appropriate treatment planning. While luminal imaging aids in diagnosis, distinguishing features can sometimes be subtle. This study evaluates additional diagnostic value vessel wall magnetic resonance (MRI) differentiating from MMS....

10.54029/2025nyf article EN Deleted Journal 2025-03-01

The predictability of neurocognitive outcomes in patients with traumatic brain injury is not straightforward. extent and nature recovery mild (mTBI) are usually heterogeneous substantially explained by the commonly known demographic injury-related prognostic factors despite having sustained similar injuries or severity. Hence, this study evaluated effects association Brain Derived Neurotrophic Factor (BDNF) missense mutations relation to performance among mTBI. 48 mTBI were prospectively...

10.1371/journal.pone.0158838 article EN public-domain PLoS ONE 2016-07-20

Study Design. This report describes Brown-Sequard syndrome after intralesional injection of absolute alcohol into vertebral hemangioma. Objective. To discuss whether the described technique is safe in management hemangiomas. Summary Background Data. The hemangiomas remains controversial. There have been reports successful using alcohol. Methods. clinical and radiologic features reported complication are detailed. Results. Intralesional caused syndrome. Conclusion. case shows that cannot be...

10.1097/00007632-199909010-00015 article EN Spine 1999-09-01
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