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Prof Chan Ling Ling

MBBS (S’pore), FRCR, FAMS

Senior Consultant

Singapore General Hospital Singapore General Hospital

Specialty: Diagnostic Radiology

Clinical Interests

Head & Neck Imaging, Neuro-Oncology, Neuroradiology

Clinical Appointments

Senior Consultant

Neuroradiology

Senior Consultant

Neuroradiology

Academic Appointments

Clinical Professor, Joint Faculty, Neuroscience & Behavioural Disorders, Signature Research Programme

Academic Vice-Chair, Research, SingHealth Duke-NUS, Academic Medical Center

About

Dr Chan Ling Ling underwent medical training at NUS, radiology specialist training at SGH and TTSH, and worked two years as a clinical neuroradiology fellow in the Texas Medical Centre in Houston, USA. Since qualifying, she serves as faculty in Neuroradiology at SGH, and anchors neuroradiology X-Rays rounds for near-two decades. As PI, Dr Chan works closely with clinicians, radiographers and physicists to harness cutting-edge imaging technology to solve clinical problems.

In the recent years, she is involved in various research and innovation projects applying AI to assist with tissue and lesion segmentation and disease classification. These span use cases of intracranial haemorrhage, neurodegeneration, tumours, infection, and thyroid related disorders. Her international and industry collaborations have widened the repertoire of advanced MRI and AI tools that her team uses to track structural and functional changes and aid in the radiological workflow, diagnosis and prediction. Dr Chan has >210 peer reviewed publications, 5592 citations, an i10-index of 123 and H index of 39. She has mentored many students in research, co-authored 300 abstracts at local and international conferences, and received >50 accolades as PI or supervisor. She has spoken at numerous international and national conferences, including RSNA, ESNR, CCR and ISMRM.

Education and Training

  • National University of Singapore, Medical Faculty, Singapore, SG
  • Diagnostic Radiology Residency, Singapore
  • Neuroradiology Fellowship, Singapore
  • Neuroradiology Fellowship, Affiliated Hospitals of Baylor College of Medicine, Houston, Texas, USA
  • Neuroradiology Fellowship, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA

Professional Appointments and Committee Memberships

  • President, Neuroradiology Subsection, Singapore Radiological Society (SRS)
  • Fellow, College of Radiology, Academy of Medicine Singapore (FAMS)
  • Fellow, Royal College of Radiology (RCR)
  • Member, Radiological Society of North America (RSNA)
  • Member, European College of Radiology (ECR)
  • Member, International Society of Magnetic Resonance in Medicine (ISMRM)
  • Member, International Parkinson and Movement Disorder Society (MDS)
  • National Delegate, Asian-Oceanian Society of Neuroradiology and Head and Neck Radiology (AOSNHNR)
  • Program Chair, 2023 Asian-Oceanian Society of Neuroradiology and Head & Neck Radiology and Singapore Congress of Radiology (AOCNR)
  • Clinical Professor, Joint Faculty, Neuroscience & Behavioural Disorders, Signature Research Programme
  • Specialist Accreditation Board (SAB) Research Committee Training Review Panel
  • Clinical Assistant Professor, Clinical Faculty Scheme, Diagnostic Radiology
  • Faculty, Joint MMed Diagnostic Radiology/FRCR Part 2B Examinations, Division of Graduate Medical Studies, Yong Loo Lin School of Medicine
  • Tutor, National Radiology Residency Programme
  • Teaching Faculty, SingHealth Diagnostic Radiology Residency Programme
  • Director, Research Committee, Division of Radiological Sciences, SGH
  • Clinical Research Head, Neuroradiology, NNI@SGH
  • Enabler Lead, Radiological Sciences, SGH Research and Innovation Office

Awards

  • Radiology: Imaging Cancer, Editor’s Recognition Award for reviewing with Distinction, 2025 and 2024.
  • SingHealth RAD-PATH ACP Academic Day. Research Award – Inspiring Mentor, 2024
  • NMRC Clinician Scientist Senior Investigator Award, 2021
  • SingHealth GCEO Excellence Award for Outstanding Clinician Researcher, 2019
  • Singapore National Day Awards, The Long Service Medal, Prime Minister’s Office, Singapore 2019

Research Interests

Neurodegeneration, dementia, Parkinsonism and gait disorders, traumatic brain injury, thyroid eye disease, Meniere’s imaging, neurovascular conflicts, scoliosis, advanced MR techniques (dMRI, fMRI, VWI, SWI, NMS, MWI, Morphometry) and big data AI 

Publications

Selected publications (of >150):

  1. Lee ZR, Teo F, Kuan S, Edmond EC, Fook-Chong S, Chen RC, Chai J, Tay A, Tan D, Chan LL. Tooth-in-eye standardized longitudinal radiological CT monitoring: Clinical impact in a fourteen-year series. Eur J Radiol. 2025 Sep;190:112242. doi: 10.1016/j.ejrad.2025.112242.
  2. Kheok SW, Hu G, Lee MH, Wong CP, Zheng K, Htoon HM, Lei Z, Tan ASM, Chan LL, Ooi BC, Seah LL. Orbital CT deep learning models in thyroid eye disease rival medical specialists' performance in optic neuropathy prediction in a quaternary referral center and revealed impact of the bony walls. Orbit. 2025 Jul 1:1-9. doi: 10.1080/01676830.2025.2521868.
  3. Lee S, Chen R, Kumar S, Lee W, Li H, Tan LCS, Tan EK, Keong NCH, Chan LL. Splenial Angle on Axial T1 and FLAIR MRI Images and Idiopathic Normal Pressure Hydrocephalus. Br J Radiol. 2025 Mar 14:tqaf058. doi: 10.1093/bjr/tqaf058.
  4. Sng ECY, Chan LL, Conceicao EP, Wong MJ, Ng DHL, Lee HK, Chan CYY. Clinicodemographic and Radiological Features of Infective Ring-Enhancing Brain Lesions: A 4-Year Retrospective Study at a Tertiary Referral Center. Open Forum Infect Dis. 2025 Feb 26;12(3):ofaf095. doi: 10.1093/ofid/ofaf095.
  5. Chew EG, Liu Z, Li Z, Chung SJ, Lian MM, Tandiono M, Heng YJ, Ng EY, Tan LC, Chng WL, Tan TJ, Peh EK, Ho YS, Chen XY, Lim EY, Chang CH, Leong JJ, Peh TX, Chan LL, Chao Y, Au WL, Prakash KM, Lim JL, Tay YW, Mok V, Chan AY, Lin JJ, Jeon BS, Song K, Tham CC, Pang CP, Ahn J, Park KH, Wiggs JL, Aung T, Tan AH, Ahmad Annuar A, Makarious MB, Blauwendraat C, Nalls MA, Robak LA, Alcalay RN, Gan-Or Z, Reynolds R, Lim SY, Xia Y, Khor CC, Tan EK, Wang Z, Foo JN. Exome sequencing in Asian populations identifies low-frequency and rare coding variation influencing Parkinson's disease risk. Nat Aging. 2024 Nov 21. doi: 10.1038/s43587-024-00760-7.
  6. Teo TWJ, Saffari SE, Chan LL, Welton T. Comparison of MRI head motion indicators in 40,969 subjects informs neuroimaging study design. Sci Rep. 2024 Nov 27;14(1):29430. doi: 10.1038/s41598-024-79827-9
  7. Chen B, Zhou H, Liu X, Yang W, Luo Y, Zhu S, Zheng J, Wei X, Chan LL, Tan EK, Wang Q. Correlations of gray matter volume with peripheral cytokines in Parkinson's disease. Neurobiol Dis. 2024 Oct 15;201:106693. doi: 10.1016/j.nbd.2024.106693.
  8. Sohn B, Chung SJ, Lee JR, Hwang D, Xie W, Chan LL, Choi YS, Harvard Brain Imaging Study, Japanese Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Neuroimaging Initiative. 18F-FDG-PET-based deep learning for predicting cognitive decline in non-demented elderly across the Alzheimer’s disease clinical spectrum. Radiology Advances 2024;1(3):umae021. doi.org/10.1093/radadv/umae021
  9. Welton T, Hartono S, Lee W, The PY, Hou W, Chen RC, Chen C, Lim EW, Prakash KM, Tan LCS, Tan EK, Chan LL. Classification of Parkinson's Disease by Deep Learning on Midbrain MRI. Front Aging Neurosci 2024;16:1425095. Published 2024 Aug 20. doi:10.3389/fnagi.2024.1425095
  10. Welton T, Chew G, Mai AS, Ng JH, Chan LL, Tan EK. Association of Gene Expression and Tremor Network Structure. Mov Disord. 2024;39(7):1119-1130. doi:10.1002/mds.29831
  11. Welton T, Teo TWJ, Chan LL, Tan EK, Tan LCS. Parkinson's Disease Risk Variant rs9638616 is Non-Specifically Associated with Altered Brain Structure and Function. J Parkinsons Dis. 2024 Apr 12. doi: 10.3233/JPD-230455.
  12. Soh RCC, Chen BZ, Hartono S, Lee MS, Lee W, Lim SL, Gan J, Maréchal B, Chan LL, Lo YL. The hindbrain and cortico-reticular pathway in adolescent idiopathic scoliosis. Clin Radiol. 2024 Feb 10:S0009-9260(24)00078-3. doi: 10.1016/j.crad.2024.01.027.
  13. Hartono S, Chen RC, Welton T, Tan AS, Lee W, Teh PY, Chen C, Hou WL, Tham WP, Lim EW, Prakash KM, Shih YC, Lee KJ, Tan LCS, Tan EK, Chan LL. Quantitative Iron-Neuromelanin MRI Associates with Motor Severity in Parkinson’s Disease and Matches Radiological Disease Classification. Front Aging Neurosci. 2023;15:1287917. doi: 10.3389/fnagi.2023.1287917.
  14. Welton T, Hartono S, Shih YC, Schwarz ST, Xing Y, Tan EK, Auer DP, Harel N, Chan LL. Ultra-High-Field 7T MRI in Parkinson’s Disease: Ready for Clinical Use? A Narrative Review. Quant Imaging Med Surg. 2023 Nov 1;13(11):7607-7620. doi: 10.21037/qims-23-509.
  15. Ong YL, Deng X, Li HH, Narasimhalu K, Chan LL, Prakash KM, Au WL, Ratnagopal P, Tan LCS, Tan EK. Caffeine intake interacts with Asian gene variants in Parkinson's disease: a study in 4488 subjects. Lancet Reg Health West Pac. 2023 Sep 4;40:100877. doi: 10.1016/j.lanwpc.2023.100877.
  16. Zhu L, Chan LL, Ng TK, Zhang M, Ooi BC. Deep Co-Training for Cross-Modality Medical Image Segmentation. In: Proceedings of the 26th European Conference on Artificial Intelligence (ECAI 2023); 2023 Sep 30–Oct 4; Kraków, Poland. Frontiers in artificial intelligence and applications. Vol. 372, pp 3140 – 3147. Amsterdam, Netherlands: IOS Press; 2023. doi:10.3233/FAIA230633.
  17. Shih YC, Ooi LQR, Li HH, Allen JC, Hartono S, Welton T, Tan EK, Chan LL. Serial deep gray nuclear DTI changes in Parkinson's disease over twelve years. Front Aging Neurosci. 2023 Jun 20;15:1169254. doi: 10.3389/fnagi.2023.1169254
  18. Welton T, Hartono S, Shih YC, Lee W, Chai PH, Chong SL, Ng S, Chia NSY, Choi X, Heng DL, Tan EK, Tan LCS, Chan LL. Microstructure of brain nuclei in early Parkinson’s disease: longitudinal diffusion kurtosis imaging. J Parkinsons Dis. 2023;13(2):233-242. doi: 10.3233/JPD-225095.
  19. Tang PH, Zhang AY, Lam SSW, Ong MEH, Chan LL. Implementation of an AI model to triage paediatric brain magnetic resonance imaging orders. Ann Acad Med Singap. 2022 Nov;51(11):739-741. doi: 10.47102/annals-acadmedsg.2022104.
    • Welton T, Tan YJ, Saffari SE, Ng SYE, Chia NSY, Yong ACW, Choi X, Heng DL, Shih YC, Hartono S, Lee W, Xu Z, Tay KY, Au WL, Tan EK, Chan LL, Ng ASL, Tan LCS. Plasma Neurofilament Light Concentration Is Associated with Diffusion-Tensor MRI-Based Measures of Neurodegeneration in Early Parkinson's Disease. J Parkinsons Dis. 2022 Aug 29. doi: 10.3233/JPD-223414.
  20. Chan LL, Chen R, Li H, Lee AJY, Go WY, Lee W, Lock C, Kumar S, Ng ASL, Kandiah N, Tan LCS, Tan EK, Keong NCH. The splenial angle: a novel radiological index for idiopathic normal pressure hydrocephalus. Eur Radiol. 2021 Dec;31(12):9086-9097. doi: 10.1007/s00330-021-07871-4.
  21. Welton T, Cardoso F, Carr JA, Chan LL, Deuschl G, Jankovic J, Tan EK. Essential tremor. Nat Rev Dis Primers. 2021 Nov 11;7(1):83. doi: 10.1038/s41572-021-00314-w.
  22. Lee W, Lee AJY, Li H, Ong NYX, Keong NCH, Chen RC, Chan LL. Callosal Angle in Idiopathic Normal Pressure Hydrocephalus: Small Angular Malrotations of the Coronal Plane Affect Measurement Reliability. Neuroradiology 2021 Oct;63(10):1659-1667. doi: 10.1007/s00234-021-02658-2.
  23. Tan S*, Hartono S*, Welton T, Ann CN, Lim SL, Koh TS, Li H, Setiawan F, Ng S, Chia N, Liu S, Haacke EM, Tan EK, Tan LCS, Chan LL. Utility of Quantitative Susceptibility Mapping and Diffusion Kurtosis Imaging in the Diagnosis of Early Parkinson’s Disease. Neuroimage Clin. 2021 Sep 22;32:102831. DOI: 10.1016/j.nicl.2021.102831
  24. Zhu L, Yang K, Zhang M, Chan LL, Ng TK, Ooi BC. Semi-supervised unpaired multi-modal learning for label-efficient medical image segmentation. In: International Conference on Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 Sep 21: pp 394-404. Cham: Springer International Publishing. Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation | MICCAI 2021 - Accepted Papers and Reviews