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Exciting news! Our paper on "DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification" has been accepted at the "Medical Imaging with Deep Learning" conference (MIDL 2023). Read the pre-print here arxiv.org/abs/2302.13057 #MIDL2023 #medicalimaging

"DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification" has been accepted at the "Medical Imaging with Deep Learning" conf. pre-print here arxiv.org/abs/2302.13057 #MIDL2023 #medicalimaging Frederik Barkhof Parker Ravì Daniele Arman Eshaghi Lemuel Puglisi

🧠📚 Exciting news! Some results from our joint project between QSA and UH on artifact generation and detection in MRI scans have been accepted for publication in Medical Imaging Analysis, the top journal in the field.

Our new automatic quality checking model for efficient and fast processing of brain MRI sciencedirect.com/science/articl… QueenSquareMSCentre UCL Queen Square Institute of Neurology Queen Square Analytics led by Ravì Daniele

Our work on automatic artifact detection and quality control is finally out! The project is led by Ravì Daniele and was developed at Queen Square Analytics. Take a look here: sciencedirect.com/science/articl…

Having given talks on LDMs all last week in Korea, I'm totally blown away by this new Generative AI paper [1] (sent to me by Tamoghna Chattopadhyay - thank you!). Puglisi et al. train an LDM* [2] to age-progress brain MRI scans, learning a controllable generative distribution

This is pretty wild. Revising our NIH proposal to create brain images using latent diffusion and text prompts or vector guidance for anomaly detection [1] and cross-modal synthesis (explained here [2]); ControlNet [3] will re-condition on text while preserving identity with a

🚀 Using BrLP on Your Own Data: A Step-by-Step Guide! Due to the growing number of inquiries about how to run BrLP on personal MRI data, I’ve decided to write an accessible guide on setting up and using the BrLP CLI application. lemuelpuglisi.github.io/blog/2024/brlp/

More info: cvgmmi.github.io/CVGMMI-2025/. Let’s push the boundaries of AI in medicine — together!

🔥🔥THERE WAS A SURPRISING amount of Generative AI at this week's #OHBM2025 conference, with at least 2 new themes I quite liked - using generative models to model how brains change over time (structurally and functionally), and to learn a probability density on the set of future