Justin Ker

ORCID: 0000-0003-1657-3711
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About
Contact & Profiles
Research Areas
  • Long-Term Effects of COVID-19
  • Cerebrospinal fluid and hydrocephalus
  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Spinal Dysraphism and Malformations
  • Intracerebral and Subarachnoid Hemorrhage Research
  • COVID-19 diagnosis using AI
  • Head and Neck Surgical Oncology
  • COVID-19 Clinical Research Studies
  • Retinal and Optic Conditions
  • Transcranial Magnetic Stimulation Studies
  • Synthetic Organic Chemistry Methods
  • Spinal Fractures and Fixation Techniques
  • Craniofacial Disorders and Treatments
  • Spine and Intervertebral Disc Pathology
  • Advanced Manufacturing and Logistics Optimization
  • Pain Management and Treatment
  • Case Reports on Hematomas
  • Cell Image Analysis Techniques
  • Dermatological and COVID-19 studies
  • Neurofibromatosis and Schwannoma Cases
  • Spinal Hematomas and Complications
  • Cervical and Thoracic Myelopathy
  • Neurosurgical Procedures and Complications

National Neuroscience Institute
2015-2022

Autodesk (United States)
2022

KK Women's and Children's Hospital
2019

Changi General Hospital
2015

National University Hospital
2013

The tremendous success of machine learning algorithms at image recognition tasks in recent years intersects with a time dramatically increased use electronic medical records and diagnostic imaging. This review introduces the as applied to analysis, focusing on convolutional neural networks, emphasizing clinical aspects field. advantage an era big data is that significant hierarchal relationships within can be discovered algorithmically without laborious hand-crafting features. We cover key...

10.1109/access.2017.2788044 article EN cc-by-nc-nd IEEE Access 2017-12-29

Intracranial hemorrhage is a medical emergency that requires urgent diagnosis and immediate treatment to improve patient outcome. Machine learning algorithms can be used perform image classification assist clinicians in diagnosing radiological scans. In this paper, we apply 3-dimensional convolutional neural networks (3D CNN) classify computed tomography (CT) brain scans into normal (N) abnormal containing subarachnoid (SAH), intraparenchymal (IPH), acute subdural (ASDH) polytrauma (BPH)....

10.3390/s19092167 article EN cc-by Sensors 2019-05-10

Introduction. Cranial reconstruction with a cranioplasty is performed to repair skull defects after decompressive craniectomies. Aims. To retrospectively review all cranioplasties in our institution over 10 years and analyse the complications factors that cause complications. Patient methods. Two hundred forty-three were from 2000 2010, follow-up of at least 1 year. Age, sex, comorbidities, material, site defect, time between decompression cranioplasty, rate collected database. Fischer's...

10.3109/02688697.2013.815313 article EN British Journal of Neurosurgery 2013-07-24

Chronic subdural hemorrhage (SDH) or hematoma is a condition that affects elderly individuals. With advances in medical care, the number of nonagenarians and centenarians will increase. However, surgical treatments this age group are associated with high rates morbidity mortality. Because no data available on survival among patients chronic SDHs who undergo drainage receive only conservative goal study was to determine 90 years older symptomatic SDHs.The authors conducted retrospective...

10.3171/2014.12.jns142053 article EN Journal of neurosurgery 2015-07-10
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