Machine Learning and Neuroimaging Lab
Welcome to the website of Machine Learning and Neuroimaging Lab. Home of PRoNTo!
The aim of our lab is to develop mathematical models and tools for the application of novel machine learning techniques to the analysis of brain imaging data. We focus on the diagnosis and prognosis of psychiatric disorders and on understanding affective processing in normal and patients groups.
PRoNTo is a toolbox based on machine learning techniques for the analysis of neuroimaging data. The development of the toolbox has been supported by the PASCAL Harvest framework and The Wellcome Trust. PRoNTo should facilitate the interaction between machine learning and neuroimaging communities. On one hand the machine learning community will be able to contribute to the toolbox with novel published machine learning algorithms. On the other hand the toolbox will provide a variety of tools for the neuroscience and clinical neuroscience communities, enabling them to ask new questions that cannot be easily investigated using existing statistical analysis tools.
News
- The next PRoNTo course will be held online between the 15th and the 17th of September 2021, featuring the new PRoNTo v3.0! Further information and registrations for the Course can be found HERE.
- The PRoNTo course planned for May 2020 will be postponed to a later date due to the current coronavirus (COVID-19) outbreak.
- We are organising a workshop on Introduction to Network Statistics on 24th October 2019 (Only 30 places available!). For more details, please click HERE.
- UCL researchers win ABCD-NP Challenge for MICCAI 2019. Jointly led by Dr. Neil Oxtoby and Prof. Janaina Mourao-Miranda, the team included researchers from several research groups within the UCL Centre for Medical Image Computing (CMIC), including from our lab.
- PRoNTo v2.1 is now available for download.
- Janaina Mourao-Miranda delivers inaugural lecture on machine learning.