Dr Jose Bernal
@joseabernal.bsky.social
Junior (Assistant) Professor | AIBE@FAU | CSVD & Neuroimaging | He/him
Pinned
DRIPS: Domain Randomisation for Image-based Perivascular spaces Segmentation https://www.medrxiv.org/content/10.1101/2025.10.22.25337423v1
📢 New Preprint 📢
After 3 years of work, I’m proud to present DRIPS (Domain Randomisation for Image-based PVS Segmentation), a new method for accurate & generalisable perivascular space (PVS) segmentation across diverse MRI contrasts and resolutions. @fau.de @dzne.science @svdresearch.bsky.social
After 3 years of work, I’m proud to present DRIPS (Domain Randomisation for Image-based PVS Segmentation), a new method for accurate & generalisable perivascular space (PVS) segmentation across diverse MRI contrasts and resolutions. @fau.de @dzne.science @svdresearch.bsky.social
📢 New Preprint 📢
After 3 years of work, I’m proud to present DRIPS (Domain Randomisation for Image-based PVS Segmentation), a new method for accurate & generalisable perivascular space (PVS) segmentation across diverse MRI contrasts and resolutions. @fau.de @dzne.science @svdresearch.bsky.social
After 3 years of work, I’m proud to present DRIPS (Domain Randomisation for Image-based PVS Segmentation), a new method for accurate & generalisable perivascular space (PVS) segmentation across diverse MRI contrasts and resolutions. @fau.de @dzne.science @svdresearch.bsky.social
DRIPS: Domain Randomisation for Image-based Perivascular spaces Segmentation https://www.medrxiv.org/content/10.1101/2025.10.22.25337423v1
October 24, 2025 at 8:42 PM
📢 New Preprint 📢
After 3 years of work, I’m proud to present DRIPS (Domain Randomisation for Image-based PVS Segmentation), a new method for accurate & generalisable perivascular space (PVS) segmentation across diverse MRI contrasts and resolutions. @fau.de @dzne.science @svdresearch.bsky.social
After 3 years of work, I’m proud to present DRIPS (Domain Randomisation for Image-based PVS Segmentation), a new method for accurate & generalisable perivascular space (PVS) segmentation across diverse MRI contrasts and resolutions. @fau.de @dzne.science @svdresearch.bsky.social
🚨 Hot off the press! 🚨
Our systematic review and meta-analysis on ML+CSVD for dementia diagnosis and prognosis has been published! An international collaboration, featuring @Valerie Lohner
@oparent.bsky.social
@helenagellersen.bsky.social
and many others.
doi.org/10.1186/s131...
@dzne.science
Our systematic review and meta-analysis on ML+CSVD for dementia diagnosis and prognosis has been published! An international collaboration, featuring @Valerie Lohner
@oparent.bsky.social
@helenagellersen.bsky.social
and many others.
doi.org/10.1186/s131...
@dzne.science
Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis - Alzheimer's Research & Therapy
Cerebral small vessel disease (CSVD) is a common neurological condition that contributes to strokes, dementia, disability, and mortality worldwide. We conducted a systematic review and meta-analysis t...
doi.org
August 13, 2025 at 11:29 AM
🚨 Hot off the press! 🚨
Our systematic review and meta-analysis on ML+CSVD for dementia diagnosis and prognosis has been published! An international collaboration, featuring @Valerie Lohner
@oparent.bsky.social
@helenagellersen.bsky.social
and many others.
doi.org/10.1186/s131...
@dzne.science
Our systematic review and meta-analysis on ML+CSVD for dementia diagnosis and prognosis has been published! An international collaboration, featuring @Valerie Lohner
@oparent.bsky.social
@helenagellersen.bsky.social
and many others.
doi.org/10.1186/s131...
@dzne.science
📢 Hot off the press! 📢
Want to show that healthcare AI really works in everyday settings? Large-scale, multi-site studies are a powerful path forward. I’m thrilled to have joined this effort as part of the Colombian collaborator team.
doi.org/10.1038/s414...
@dzne.science
Want to show that healthcare AI really works in everyday settings? Large-scale, multi-site studies are a powerful path forward. I’m thrilled to have joined this effort as part of the Colombian collaborator team.
doi.org/10.1038/s414...
@dzne.science
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge - Nature Communications
Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tu...
doi.org
July 9, 2025 at 3:11 PM
📢 Hot off the press! 📢
Want to show that healthcare AI really works in everyday settings? Large-scale, multi-site studies are a powerful path forward. I’m thrilled to have joined this effort as part of the Colombian collaborator team.
doi.org/10.1038/s414...
@dzne.science
Want to show that healthcare AI really works in everyday settings? Large-scale, multi-site studies are a powerful path forward. I’m thrilled to have joined this effort as part of the Colombian collaborator team.
doi.org/10.1038/s414...
@dzne.science
🚨New preprint 🚨
TL;DR Supporting cerebrovascular and mental health, along with staying cognitively engaged, may help preserve brain function and delay cognitive decline and dementia.
@dzne.science
TL;DR Supporting cerebrovascular and mental health, along with staying cognitively engaged, may help preserve brain function and delay cognitive decline and dementia.
@dzne.science
Linking latent trajectories of ageing-related atrophy, white matter hyperintensities, and cognitive ageing over four years: Insights into brain maintenance https://www.medrxiv.org/content/10.1101/2025.06.16.25329648v1
June 17, 2025 at 9:26 PM
🚨New preprint 🚨
TL;DR Supporting cerebrovascular and mental health, along with staying cognitively engaged, may help preserve brain function and delay cognitive decline and dementia.
@dzne.science
TL;DR Supporting cerebrovascular and mental health, along with staying cognitively engaged, may help preserve brain function and delay cognitive decline and dementia.
@dzne.science
📢 Habemus preprint 📢
Our systematic review and meta-analysis on ML+vascular neuroimaging for dementia diagnosis and prognosis is out! Fantastic collaboration with @ValerieLohner, @oparent.bsky.social @helenagellersen.bsky.social and many others! Check it out! @dzne.science
Our systematic review and meta-analysis on ML+vascular neuroimaging for dementia diagnosis and prognosis is out! Fantastic collaboration with @ValerieLohner, @oparent.bsky.social @helenagellersen.bsky.social and many others! Check it out! @dzne.science
Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis https://www.medrxiv.org/content/10.1101/2024.12.17.24319166v1
December 18, 2024 at 8:10 AM
📢 Habemus preprint 📢
Our systematic review and meta-analysis on ML+vascular neuroimaging for dementia diagnosis and prognosis is out! Fantastic collaboration with @ValerieLohner, @oparent.bsky.social @helenagellersen.bsky.social and many others! Check it out! @dzne.science
Our systematic review and meta-analysis on ML+vascular neuroimaging for dementia diagnosis and prognosis is out! Fantastic collaboration with @ValerieLohner, @oparent.bsky.social @helenagellersen.bsky.social and many others! Check it out! @dzne.science