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Jennifer Quon
Research Positions
Associate Scientist-Track Investigator, SickKids Research Institute
Biography
Dr. Jennifer Quon is a paediatric neurosurgeon at The Hospital for Sick Children (SickKids) and an Assistant Professor for the Department of Surgery at the University of Toronto. She is also an Associate Scientist-Track Investigator in the Neurosciences and Mental Health program at the SickKids Research Institute. Dr. Quon has broad clinical interests in paediatric neurosurgery including the surgical treatment of brain tumours, particularly through endoscopic endonasal approaches, as well as vascular disorders in children.
Research
Dr. Quon's research interests include improving the quality and effectiveness of patient care and using machine learning for prognostication of paediatric brain diseases based on imaging.
Education and experience
- Chief Fellowship, Paediatric Neurosurgery, The Hospital for Sick Children, Toronto, ON
- Residency, Neurosurgery, Stanford Hospital & Clinics, Stanford, CA, USA
- MD & MHS, Yale School of Medicine, New Haven, CT, USA
- B.Sc., Neural Science, New York University, NY, NY, USA
Achievements
- 2020: San Francisco Neurological Society: Child Neurology Award
- 2018: R25 Training Grant, NIH/NINDS
- 2016: CNS Columbia Softball Charity Award for Best Paediatric Tumor Abstract
- 2013: Howard Hughes Medical Institute (HHMI) Medical Research Fellowship
Publications
- Quon JL, Mouches P, Kim LH, Jabarkheel R, Zhang Y, Steinberg G, Grant GA, Edwards MSB, Yeom KW, Forkert ND. Age-dependent Intracranial Artery Morphology in Healthy Children. Clin Neuroradiol. 2021 Aug 24. doi: 10.1007/s00062-021-01071-9. Epub ahead of print. PMID: 34427700
- Quon JL, Han M, Kim LH, Koran ME, Chen LC, Lee EH, Wright J, Ramaswamy V, Lober RM, Taylor MD, Grant GA, Cheshier SH, Kestle JRW, Edwards MSB, Yeom KW. Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus. J Neurosurg Pediatr. 2020 Dec 1:1-8. doi: 10.3171/2020.6.PEDS20251. Epub ahead of print. PMID: 33260138 **Figure from this manuscript chosen as cover of February 2020 issue
- Quon JL, Chen LC, Kim LH, Grant GA, Edwards MSB, Cheshier SH, Yeom KW. Deep Learning for Automated Delineation of Pediatric Cerebral Arteries on Pre-operative Brain Magnetic Resonance Imaging. Front Surg. 2020 Oct 26;7:517375. doi: 10.3389/fsurg.2020.517375. eCollection 2020. PMID: 33195383
- Quon JL, Bala W, Chen LC, Kim LH, Han M, Shpanskaya K, Lee EH, Wright J, Ramaswamy V, Lober RM, Taylor MD, Pouissant T, Vitanza N, Ho C, Fisher P, Grant GA, Edwards MSB, Cheshier SH, Yeom KW. Deep learning for automatic detection and classification of pediatric brain tumors: A multi-institutional study. AJNR Am J Neuroradiol. 2020 Sep;41(9):1718-1725. doi: 10.3174/ajnr.A6704. Epub 2020 Aug 13. PMID: 32816765
- Quon JL, Kim LH, MacEachern SJ, Maleki M, Steinberg GK, Madhugiri V, Edwards MSB, Grant GA, Yeom KW, Forkert ND. In Reply: Early Diffusion Magnetic Resonance Imaging Changes in Normal-Appearing Brain in Pediatric Moyamoya Disease. Neurosurgery. 2020 Sep 1;87(3):E436-E437. doi: 10.1093/neuros/nyaa265.