MIG POND UCL
@uclmigpond
The official Twitter for the Microstructure Imaging Group (MIG) and Progression of Neurodegenerative Diseases (POND) group • CMIC • UCL
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01-11-2016 12:19:01
321 Tweet
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We reveals how imaging can be used to tell about brain conditions or the hidden workings of the lungs – come and play "games with brains" and "luminous lungs" (and much more...) - London, Senate House, WC1E 7HU UCL Medical Physics & Biomedical Engineering UCL Computer Science UCL Institute of Healthcare Engineering MIG POND UCL Catarina Veiga
Find us at Bloomsbury Festival *tomorrow* Friday 22nd Oct from 3.00 pm , and Sat. 23rd Oct 11.00-5.00 pm, at the Discovery Hub (Senate House), where MIG POND UCL, RTIC Catarina Veiga, Parker shine light on the workings of MRI - all welcome!
Excited to introduce tissue-weighted mean that highlights and addresses a hitherto unrecognised problem when correcting for CSF partial volume. Work led by Chris Parker, Tom Veale, w/ Dr Martina Bocchetta, Catherine Slattery, Ian Malone David Thomas 🌈, Jonathan Schott, Dave Cash doi.org/10.1016/j.neur…
🔖Mark your calendar for a post-ISMRM workshop: 🧠Microstructure Imaging Meets Machine Learning💻 📅13th May 2022 🏦UCL Centre for Medical Image Computing, 90 High Holborn, London Organizers: MarcoPalombo, Ting Gong , Gary Zhang Brought to you by UCL CMIC & CUBRIC
How do computer scientists teach MRI machines to find cancerous cells? Our Inside CMIC 02 tells you how: youtu.be/MFu6ssUjgTM. UCL Computer Science UCL Medical Physics & Biomedical Engineering UCL Institute of Healthcare Engineering UCL Engineering WEISS
Pleased to launch the website for our post-ISMRM workshop - MIML: Microstructure Imaging Meets Machine Learning Full URL: cmic.cs.ucl.ac.uk/miml/index.html Programme & registration will be announced in the upcoming weeks. Organised w/ MarcoPalombo Gary Zhang
Going to #ADPD2022? Check out Cameron Shand's talk on clinical trial enrichment using disease progression modelling. #pySuStaIn Cc: MIG POND UCL UCL CMIC
Our new work between UCL CMIC i4health CDT and GSK on calibrated semi-supervised segmentation by learning morphological feature perturbations and consistency (w/ reviews): openreview.net/forum?id=OL6tA… @midl-conference.bky.social Open Review Journal of Machine Learning Research
Excited to share the programme for the post-ISMRM MIML workshop! Check it out here: cmic.cs.ucl.ac.uk/miml/programme… Free registration is now open. Please follow the guidance to send us an expression of interest: cmic.cs.ucl.ac.uk/miml/index.html Organised w/ MarcoPalombo Gary Zhang
For less than the price of a pint, myself and others will give you a Pint of Science each in a London (UK) pub on 10 May 2022: pintofscience.co.uk/event/detechti… #pint22 #pint22UCL Cc: Zeena Shawa MIG POND UCL UCL CMIC Battersea Barge UCL Computer Science
This Friday's Brain Meeting will be given by Dr Neil Oxtoby (Neil Oxtoby (Toybox Science)) of UCL CMIC 🧠 Neil will present 'My quest for supermodels and drugs' and discuss his research in MIG POND UCL and the mysteries of #AlzheimersDisease progression. More info: fil.ion.ucl.ac.uk/event/dr-neil-…
Tomorrow's Brain Meeting will be given by Dr Neil Oxtoby (Neil Oxtoby (Toybox Science)) of UCL CMIC 🧠 Neil will present 'My quest for supermodels and drugs' and discuss his research in MIG POND UCL and the mysteries of #AlzheimersDisease progression. Request link: fil.ion.ucl.ac.uk/event/dr-neil-…
Event-based model has enabled data-driven staging of Alzheimer’s disease progression using metrics derived from structural MRI. But can μ-structural metrics from diffusion MRI improve staging? Yesterday, Chris Parker explained to Frederik Barkhof, among others, what he found.
How to quantify health and disease using images? Watch here how: Inside CMIC 04 - Imaging biomarkers: quantifying health and disease using images youtu.be/YFHqTHE31tU UCL Computer Science UCL Medical Physics & Biomedical Engineering UCL Institute of Healthcare Engineering UCL Engineering WEISS Frederik Barkhof