#VisualQC - Twitter Hashtag

almost 3 years ago

@GaganWig This is interesting - will take a look! Not sure if you’ve come across this but we have published a FS QC protocol recently based on my #VisualQC software: https://t.co/XK2x335Dr9 Software: https://t.co/mUlLwaBzib

0

3

0

5

425

Pradeep Reddy, Raamana

@Raamana_

over 3 years ago

#VisualQC update: after resisting it for many years, I'm now offering a way to batch generate screenshots of various complex #neuroimaging visualizations VisualQC generates, for all its modules (Freesurfer, defacing, imaging artifacts, alignment accuracy, DWI, EPI). Just use the --screenshots_only flag, after customizing the layout to your needs. Please note we strongly discourage any ideas of using these static screenshots for QC purposes as: - screenshots can and do become out of sync with data on disk - screenshots are static and do not allow zooming-in or proper review of different types of data - VisualQC rendering is so blazing fast in most cases, that you can always fire it up if you need to show any subject or data to colleagues, and have the full power and capability of VisualQC while doing so. https://t.co/PwPr1hF5hc #neurotwitter #phdchat #OpenScience

Raamana_'s tweet photo. #VisualQC update: after resisting it for many years, I'm now offering a way to batch generate screenshots of various complex #neuroimaging visualizations VisualQC generates, for all its modules (Freesurfer, defacing, imaging artifacts, alignment accuracy, DWI, EPI).

Just use the --screenshots_only flag, after customizing the layout to your needs.

Please note we strongly discourage any ideas of using these static screenshots for QC purposes as:

- screenshots can and do become out of sync with data on disk

- screenshots are static and do not allow zooming-in or proper review of different types of data

- VisualQC rendering is so blazing fast in most cases, that you can always fire it up if you need to show any subject or data to colleagues, and have the full power and capability of VisualQC while doing so.

https://t.co/PwPr1hF5hc

#neurotwitter #phdchat #OpenScience

2

30

7

14

6K

Gridbots Technologies @Gridbots

about 5 years ago

Gridbots Gecko assisted - Boiler Pipe(Water Wall) visual+Eddy inspection in real time. The robot can climb upto 200 meters and can navigate into very small spaces while taking multiple payloads up to 5 Kg. #piperobot #boilerrobot #thicknessinspection #crackinspection #visualqc

0

2

1

0

Greg Operto @xgrg

over 5 years ago

As big users of anatomical segmentations we wrote nisnap to display them on MRI while controlling slices, colormap, layout etc. snaprate works out of the box with any JPEG files anyway. repo: https://t.co/7HyGQ4ZI7Q Inspired by projects like @nilearn, #visualqc, #fmriprep

1

10

3

0

Greg Operto @xgrg

almost 6 years ago

nisnap #niQC display segmentations / tissue classifications over MRI scans in Jupyter notebooks Blog post: https://t.co/qHUbkWslFj GitHub: https://t.co/7HyGQ5hjwq Inspired by projects like #nilearn, #visualqc, #fmriprep and others

0

10

3

2

0

Agah Karakuzu @agahkarakuzu

about 6 years ago

Our vehicle is @nextflowio, fueled by @BIDSstandard and @ISMRM-RD. To scan, we can use RTHawk by @heartvista > #Gadgetron > #visualQC > Elastix > @qmrlab > @plotlygraphs in @ProjectJupyter notebooks with @mybinderteam to finally publish the results under @NeuroLibre's clear sky.

1

6

3

0

Agah Karakuzu @agahkarakuzu

about 6 years ago

Our vehicle is @nextflowio, fueled by @BIDSstandard and @ISMRM-RD. To scan, we can use RTHawk by @heartvista > #Gadgetron > #visualQC > Elastix > @qmrlab > @plotlygraphs in @ProjectJupyter notebooks with @mybinderteam to finally publish the results under @NeuroLibre's clear sky.

0

3

0

NiftyTorch @NiftyTorch

about 6 years ago

#OHBM BrainHack @OhbmOpen is almost done. It was a fun experience with great contribution from @lilyito24 @dokatox @saramorsy We now have a cool @BIDSstandard to NiftyTorch toolkit with #visualqc, #bids validation and more features. Check it out here: https://t.co/VILIYYADMo