Exploring High Dimensional Low Sample Size data
Joined August 2022
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Can SHAP really explain brain ageing? It depends on the background!
Our new paper introduces STABLE-BAG: age-matched, stability-aware SHAP explanations that better reflect the Brain Age Gap.
The baseline matters.
Paper: link.springer.com/article/10…
Code: github.com/sisinflab/STABLE-…
One full-size 3D brain. Every voxel, no lossy latent. Generated in 1s.
That's WaveDiT, 𝗲𝗮𝗿𝗹𝘆 𝗮𝗰𝗰𝗲𝗽𝘁 at #MICCAI2026 (top 9% of submissions). Now we can finally unveil it. 🧠
Try it live in your browser, no install:
🤗 huggingface.co/spaces/danese…
🌐 danesed.github.io/wavedit-pa…
Open-source:
📄 arxiv.org/abs/2606.08670
💻 github.com/sisinflab/WaveDiT
Thanks to my coauthors Angela Lombardi, Giuseppe Fasano, @MattAttimonelli , @TommasoDiNoia at SisInfLab, and to @MICCAI_Society.
#MICCAI #MedicalImaging #GenerativeAI #FlowMatching #Wavelets #Neuroimaging #MRI
Bonus: want to run this locally? This a native macOS app that lets you generate full brains and slice through them in real-time, no cloud. Grab it:
🍎 github.com/sisinflab/WaveDiT…
Meet FlowLet 🧠, a framework for synthesising entirely new 3D brain MRI volumes, just accepted at Medical Image Analysis (Elsevier).
Flow Matching in an invertible wavelet domain → new brains, in a few deterministic steps.
🌐 danesed.github.io/flowlet-pa…
🧵
So we rebuilt the evaluation: region-level, across 95 brain structures, and tested it on Brain Age Prediction.
It's all open-source:
📄 arxiv.org/abs/2601.05212
💻 github.com/sisinflab/FlowLet
Thanks to my coauthors Angela Lombardi, @MattAttimonelli , Giuseppe Fasano & @TommasoDiNoia at @sisinflab
#GenerativeAI #MedicalImaging #FlowMatching #Wavelets #Neuroimaging #MRI
Danilo Danese retweeted
Thrilled to announce our paper, "Do Recommender Systems Really Leverage Multimodal Content?", has been accepted at #CIKM2025! 🔥
We investigate if the gains in Multimodal RecSys come from true understanding or just bigger models. A deep dive into what really works.
(Thread 👇)
Danilo Danese retweeted
I want to extend a special and heartfelt thank you to my main co-authors, @MattAttimonelli and @danilo_danese. This paper is a direct result of their brilliant insights and deep commitment. I am incredibly proud of what we have accomplished together! 🙌
Danilo Danese retweeted
🎉 Excited to announce our @IEEEAccess article! NeuroSense: EEG dataset for emotion recognition with low-cost devices.
🧠Available on GitHub 👉 github.com/sisinflab/NeuroSe…
📚 Paper 👉 ieeexplore.ieee.org/document…
#EEG #EmotionRecognition #AffectiveComputing
The @ACMRecSys Session about Graph Learning has just started! Hosted by the one and only @sciueferrara
Today @jnvinagre keynote presentation at @FAccTRec workshop as part of @ACMRecSys. The talk explores how EU regulations #DSA and #AIAct will shape the future of #RecSys research, highlighting the opportunities they bring. We look forward to seeing you there!
