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.
Visit our research page to learn more about ongoing projects.
Feb 13 2019 – Postdoc positions open in the NIST lab:
- PDF positions in image-guided surgery for brain and spine
- PDF positions in MRI analysis for prediction of cognitive decline in subjective cognitive complaint and in mild cognitive impairment
- PDF positions in MRI analysis for prediction of clinical progression in progressive multiple sclerosis
Feb 10 2020 – Congratulations to my students for new publications!
- Developmental trajectories of neuroanatomical alterations associated with the 16p11.2 Copy Number Variations.
Cárdenas-de-la-Parra A, Martin-Brevet S, Moreau C, Rodriguez-Herreros B, Fonov VS, Maillard AM, Zürcher NR; 16p11.2 European Consortium, Hadjikhani N, Beckmann JS, Reymond A, Draganski B, Jacquemont S, Collins DL. (2019) Neuroimage. 2019
- Deformation based morphometry study of longitudinal MRI changes in behavioral variant frontotemporal dementia.
Manera AL, Dadar M, Collins DL, Ducharme S; Frontotemporal Lobar Degeneration Neuroimaging Initiative. (2019) Neuroimage Clin. 2019;24:102079.
- MRI and cognitive scores complement each other to accurately predict Alzheimer’s dementia 2 to 7 years before clinical onset.
Zandifar A, Fonov VS, Ducharme S, Belleville S, Collins DL; Alzheimer’s Disease Neuroimaging Initiative (2019) Neuroimage Clin. 2019
Oct 22 2019 – Congratulations to Phil Novosad for his paper – “Accurate and robust segmentation of neuroanatomy in T1-weighted MRI by combining spatial priors with deep convolutional neural networks“, published in Human Brain Mapping.