Deep Learning | Computer Vision | Medical Imaging
Passionate about med-tech, personal knowledge management, and personal growth 🌱
Preparing for OHBM? Get expert feedback before the deadline! 🌟
Tedana devs will possibly host a multi-echo meeting on Dec 8th to make sure your abstract is perfect for submission.
Interested? DM me or other tedana devs!
#neuroskyence #neuroimaging
Preparing for OHBM? Get expert feedback before the deadline! 🌟
Tedana devs will possibly host a multi-echo meeting on Dec 8th to make sure your abstract is perfect for submission.
Interested? DM me or other tedana devs!
#neuroskyence #neuroimaging
Big congratulations to the laureates — your work is inspiring! Thank you to the Tanenbaum Open Science Institute and The Neuro for supporting open science.
🎉 Join us in celebrating the laureates at the award ceremony, featuring a special lecture from International Prize laureate representative from the BrainGlobe initiative.
#OpenScience #Neuroscience
Big congratulations to the laureates — your work is inspiring! Thank you to the Tanenbaum Open Science Institute and The Neuro for supporting open science.
Uncovering the neural correlates of the urge-to- blink: A study utilising subjective urge ratings and paradigm free mapping
doi.org/10.1162/IMAG...
Uncovering the neural correlates of the urge-to- blink: A study utilising subjective urge ratings and paradigm free mapping
doi.org/10.1162/IMAG...
Quantitative mapping of cerebrovascular reactivity amplitude and delay with breath-hold BOLD fMRI when end-tidal CO2 quality is low
doi.org/10.1162/imag...
I’m more than happy to discuss ideas in this topic.
I’m more than happy to discuss ideas in this topic.
Plus, the HRF differs across different regions of the brain and possibly across the population.
A very interesting but hard problem to solve!
With our algorithms we always saw that assuming the shape was good enough for most cases 🤷♂️
Plus, the HRF differs across different regions of the brain and possibly across the population.
A very interesting but hard problem to solve!
With our algorithms we always saw that assuming the shape was good enough for most cases 🤷♂️
Even if you were to transfer learn from task fMRI data, the model would be quite biased when applied to rest…
Even if you were to transfer learn from task fMRI data, the model would be quite biased when applied to rest…
I would suggest using pySPFM with stability selection for better results though.
I would suggest using pySPFM with stability selection for better results though.
www.sciencedirect.com/science/arti...
www.sciencedirect.com/science/arti...
Such a fun application!
Such a fun application!