In the NIST lab we develop computer vision image processing algorithms for analysis of medical images that are focused on registration and segmentation. These techniques are applied to different research projects that include:
  • image guided neurosurgery
  • disease diagnosis, and
  • prognosis and quantification for diseases such as multiple sclerosis, epilepsy, schizophrenia and degenerative diseases such as Alzheimer’s dementia.

Dr. Cassandra Morrison (@CassMorrison01) has been awarded an RBIQ @rbiq_qbin recruitment award for her PDF in the @NistLab of the @bic_mni in @TheNeuro_MNI to study cognitive and MRI biomarkers in subjective cognitive decline. Congratulations!!

Congratulations to #BBME_McGill PhD candidate Daniel Andrews on winning the 2021 @CIHR_IRSC IA’s Anne Martin-Matthews Prize of Excellence in Research on Aging, recognizing the top doctoral trainee in the field of aging. Wow! @TheNeuro_MNI @NistLab

Great paper from postdoc Dr. Cassandra Morrison and team showing WMH associated with ⬇️ 2y follow-up exec function and general cognition, while pTau was not associated with cognitive decline. ⬇️ Aß42/40 associated only with ⬇️ exec function at baseline in ADNI NCs. @NISTlab

Better late than never… Congratulations to Josh Bierbrier, a @bbme_mcgill student working on measuring uncertainty in patient-image registration for image-guided neurosurgery, for obtaining an @HBHLMcGill masters fellowship in July this year.

Congratulations to Daniel DiGiovanni, @IPNMcGill PhD student in the NIST lab on receiving the well-deserved Harold and Audrey Fisher Brain Tumour Award from the Faculty of Medicine @McGillU for his research on brain connectivity and brain tumours.

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