Oscar Esteban
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Oscar Esteban
@oesteban.bsky.social
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Reposted by Oscar Esteban
adamparkhomenko.bsky.social
It is newsworthy that the president of the United States is increasingly verbally abusive of women reporters and he should be asked about it.
December 8, 2025 at 8:39 PM
This may not be a signal of a dysfunctional administration (and supporting GOP). It's clear this second time things are even more dysfunctional than the first. That said, this may be a signal of divergent factions (openly totalitarian vs. barely democratic). Trump is moving forward.
kyivindependent.com The Kyiv Independent @kyivindependent.com · Nov 23
⚡️Rubio tells senators 28-point Ukraine peace deal is not a U.S. plan.

Speaking at the Halifax International Security Forum, U.S. senators critical of the 28-point peace plan said that U.S. Secretary of State Marco Rubio told them that the current proposal does not amount to the actual U.S. plan.
'Rewarding Russian butchery' — US lawmakers rail against Trump's Ukraine peace deal
"Rewarding Russian butchery would be disastrous to America’s interests," U.S. Senator Mitch McConnell said.
kyivindependent.com
November 23, 2025 at 9:29 AM
Reposted by Oscar Esteban
russpoldrack.org
Congrats to @oesteban.bsky.social @markiewicz.bsky.social and the rest of the team!
November 4, 2025 at 8:15 PM
Reposted by Oscar Esteban
plosbiology.org
To protect an individual's #privacy, facial features are removed before data-sharing of human #neuroimaging data. @oesteban.bsky.social &co show that this procedure affects the quality ratings given by human raters but not automated image quality metrics @plosbiology.org 🧪 plos.io/3Gtr3lo
An example of T1w image before and after defacing. Defacing is typically implemented by zeroing the voxels around the face (left-hand side, panel “T1-weighted”). The “Background noise” panel shows two visualizations extracted from the MRIQC visual report, in which a window is applied to select the lowest intensities and then they are inverted to enhance patterns in the background. The red arrows indicate aliases along the anterior–posterior axis—which had the lowest bandwidth in the example—produced by eye motion. These aliases are straightforward to notice in front of the ocular globes in the “Background noise” panel of the “nondefaced” image because of the absence of signal sources. This aliasing also spreads in the opposite direction, overlapping brain tissue. However, this overlap is often very hard to notice against the signal of interest within the brain. The corresponding “defaced” version of the “Background noise” panel shows how defacing eliminates valuable information for quality assessment.
May 1, 2025 at 8:00 AM
Reposted by Oscar Esteban
whelanlabtcd.bsky.social
Should also mention: associated OSF resource osf.io/d9r3x/ with links to code & demo videos. Again, huge tks to contributors incl. @oesteban.bsky.social @amarquand.bsky.social @engra.me @clarekelly.bsky.social @jivr.bsky.social @christiangaser.bsky.social
Methods for analyzing large neuroimaging datasets
A fully open-access book with a truly practical guide to analyzing large neuroimaging datasets. Get the book: https://link.springer.com/book/10.1007/978-1-0716-4260-3 Hosted on the Open Science...
osf.io
January 14, 2025 at 4:50 PM