MLNL UCL

The Machine Learning and Neuroimaging Lab, led by Prof Janaina Mourao-Miranda. Research interests: machine learning, brain imaging, psychiatric disorders.

[Janaina Mourao-Miranda @MouraoMiranda]

Just finished teaching Applied AI this week for students from the MScs AI for Biomedicine and Healthcare and AI for Sustainable Development at UCL. A big thanks to the TAs Danny Kim @TEKnologyy and Xuyao Feng. @uclcs @CmicUcl

[Department of Imaging Neuroscience @ImagingNeuroUCL]

Friday's Brain Meeting will be given by
@MouraoMiranda 🧠

'Machine learning and neuroimaging techniques in psychiatry' will discuss how machine learning models can help us to characterise of mental health disorders and understand their risk.

https://t.co/WBi2RDCPwE

[MLNL UCL @MLNL_UCL]

We are very pleased to share our latest paper “Canonical Correlation Analysis and Partial Least Squares for identifying brain-behaviour associations: a tutorial and a comparative study”. The corrected proof can be found at:

https://t.co/KQuwuC8gG2

[Janaina Mourao-Miranda @MouraoMiranda]

Very excited and honoured to be a keynote speaker at OHBM this year! Talking later today.
#OHBM2022 @OHBM @MLNL_UCL @CmicUcl

[Fábio Ferreira @FSFerreir]

Our paper using group factor analysis to uncover associations between multiple (incomplete) data modalities is now available @NeuroImage_EiC (Pre-proof)! https://t.co/J6p6AdAH3S

[MLNL UCL @MLNL_UCL]

We are delighted to announce the release of the PRoNTo v3.0 beta!

Amongst the many new features of PRoNTo v3.0, users now have the opportunity to build multimodal predictive models with NIfTI images, .mat files and SPM's MEEG data files.

Download: https://t.co/Evmne5EWS2

[MLNL UCL @MLNL_UCL]

Save the dates! The next PRoNTo course will happen online between the 15th September and 17th September 2021, featuring the new PRoNTo v3.0!

Don't miss this unique set of lectures bridging Machine Learning methods with Neuroimaging!

Further info here! https://t.co/XmcFVdPqpo

[MLNL UCL @MLNL_UCL]

Our new preprint is available on https://t.co/ktHL29z8z1.

[Fábio Ferreira @FSFerreir]

Very pleased to share our latest preprint 'A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets' available on https://t.co/CQScpqKSXy. Many thanks @AgostonMihalik, @dr_rick_adams, John and @MouraoMiranda!

[Fábio Ferreira @FSFerreir]

Very pleased to share our latest preprint 'A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets' available on https://t.co/CQScpqKSXy. Many thanks @AgostonMihalik, @dr_rick_adams, John and @MouraoMiranda!

[MLNL UCL @MLNL_UCL]

Please tune in to Agoston's talk at the "Multi-view Methods for Imaging Genetics" symposia at #OHBM2020.

[Agoston Mihalik @AgostonMihalik]

Proud to announce that my talk about regularized canonical correlation analysis (CCA) is to be streamed at #OHBM2020. Please check it out if interested in CCA/PLS/RRR analyses and/or multi-view/multi-source/multi-modal modelling of imaging & non-imaging data.

[MLNL UCL @MLNL_UCL]

Video chats:
1647 - https://t.co/XjXUYQS4yq
1656 - https://t.co/wFmN81n9Ej
2284 - https://t.co/kff0Svh4cd

[MLNL UCL @MLNL_UCL]

Please check out our posters 1647, 1656 and 2284 at #OHBM2020 #OHBM2020Posters.

Thread with the description of each poster
[1/4]

[MLNL UCL @MLNL_UCL]

[4/4] 2284 - "Neuroimaging data from multiple sources in PRoNTo v3.0: spatiotemporal patterns of face processing" by Isabel, @JessicaSchrouff, @Ch_Phillips, @MouraoMiranda and others.

[Thomas Nichols @nichols.bsky.social @ten_photos]

This #OHBM2020 poster index by @yarikoptic &co just keeps getting better... now with keyword search! https://t.co/a684G2DQEI

[MLNL UCL @MLNL_UCL]

More of PRoNTo hacking today! @FSFerreir @Ch_Phillips @AgostonMihalik @NilsRWinter @MouraoMiranda @chapmajw @circuitfreud @CmicUcl https://t.co/70PP0m5KyA

[Christophe Phillips @Ch_Phillips]

Some PRoNTo hacking together !
https://t.co/eudzmIQXFk

@MLNL_UCL @CmicUcl @Giga_CRCivi @GIGA_ULiege

[Agoston Mihalik @AgostonMihalik]

Our commentary is out on the correspondence between Logan Grosenick, Conor Liston and @dinga92, @lianne_schmaal, @amarquand:
https://t.co/ohne794I4U

Many thanks to @dr_rick_adams, @docqhuys and the original authors as much can be learned from these papers and the discussions.

[MLNL UCL @MLNL_UCL]

We are pleased to share that our latest work on SPLS/KCCA got accepted by Biological Psychiatry - "Multiple holdouts with stability: improving the generalizability of machine learning analyses of brain-behavior relationships”. The pre-proof can be found at https://t.co/xWFHECl6Xx