Favour Nerrise 🇨🇲 @ CVPR2026

@Stanford_EE PhD Candidate | Digital Biomarkers x AI x NeuroTech Digital Health | Prev. Amazon, Meta, NASA JPL

[Favour Nerrise 🇨🇲 @ CVPR2026 @fnerrise]

Your phone or smartwatch may detect Parkinson’s or Alzheimer’s years before your doctor does.

Our new @NatRevBioeng paper explains how digital biomarkers from everyday devices could transform brain health. 🧵
https://t.co/v2yfWiTLE2

[Dr. Chinasa T. Okolo @ChinasaTOkolo]

The AI Startups in Africa dataset has been accepted to the Deep Learning Indaba 2026 Dataset Showcase! @DeepIndaba

This is the first conference the dataset will be formally presented at, and I anticipate great conversations.

https://t.co/oL4CpUP1MT

[Favour Nerrise 🇨🇲 @ CVPR2026 @fnerrise]

7/ Across ~13k 3D brain MRI scans from ADNI and AIBL, GeoSAE finds a compact set of interpretable features that predicts MCI-to-AD conversion and replicates across cohorts.

🫂 Huge thanks to my amazing collaborators Lucy Yin, Mohammad H. Abbasi, Kilian M. Pohl, and @eadeli!

[Favour Nerrise 🇨🇲 @ CVPR2026 @fnerrise]

Excited to be presenting our #CVPR2026 CV4Clinic workshop paper TODAY!✨

🧠GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models

📍Poster 284 at 2:40 PM in Exhibit Hall A
📃: https://t.co/W2Dv1HvnmK
💻: https://t.co/pSK4FkfQae

[Favour Nerrise 🇨🇲 @ CVPR2026 @fnerrise]

6/ ⚠️Another problem is age confounding in Alzheimer’s, where many features look disease-related even when they’re not.

✅ GeoSAE annotates features using age-adjusted clinical associations, & checks whether features relate to AD, sex, genetics, comorbidities, aging, etc.

[Favour Nerrise 🇨🇲 @ CVPR2026 @fnerrise]

3/ In 🧠GeoSAE, we use sparse autoencoders (SAEs) to break down frozen MRI foundation model embeddings into smaller, more interpretable features.

The goal is to understand what different layers encode, and which features are most related to AD progression.

[Favour Nerrise 🇨🇲 @ CVPR2026 @fnerrise]

2/ Brain MRI foundation models can learn rich representations of anatomy, but it's still hard to know what clinical signals they are actually using.

For Alzheimer’s disease, this is especially important because age, brain structure, and disease progression are deeply linked.

[Nat Rev Neurology @NatRevNeurol]

New online! Motor neuron disease in Africa: a critical appraisal of the literature https://t.co/LP2lmMgTWG

[Favour Nerrise 🇨🇲 @ CVPR2026 @fnerrise]

Incredible contribution, congrats 🔥@keshigeyan @KyleSargentAI !!

[Keshigeyan Chandrasegaran @keshigeyan]

1/ Introducing GPIC: a Giant Permissive Image Corpus and benchmark for visual generation!

🚀100M VLM-captioned image-text pairs for training
📊1M image-text pairs for benchmarking
🖼️~28 trillion pixels
🤗Centrally Hosted
✅Fully permissive for research + commercial use

Dataset, benchmark and models🧵👇

Co-led with @KyleSargentAI

[Favour Nerrise 🇨🇲 @ CVPR2026 @fnerrise]

Is God Is 🙌🏿👏🏿👏🏿👏🏿 🔥 The only way I can describe what I’m feeling is how I felt after watching Behind Her Eyes. 100/10 movie, go see it. Incredible story.

[Favour Nerrise 🇨🇲 @ CVPR2026 @fnerrise]

My latest PhD work finally made it out! 🎊Check it out (PDF link): https://t.co/SNzxK4Yfih

[Nature Reviews Bioengineering @natrevbioeng]

A framework of digital biomarkers for neurodegenerative diseases https://t.co/An5S8md0B9

[Favour Nerrise 🇨🇲 @ CVPR2026 @fnerrise]

@natrevbioeng @StanfordEng @StanfordMed @StanfordHAI @StanfordBrain @StanfordADRC @ehsanadeli @NSchutzPhD @QingYuZhao @kevin_schulman @landay @drfeifei Read the open-access full PDFs 🔗:

Main paper (Nature Reviews Bioengineering): https://t.co/SNzxK4Yfih
Supplementary + full framework: https://t.co/q2JAkC4mWf

[Favour Nerrise 🇨🇲 @ CVPR2026 @fnerrise]

Your phone or smartwatch may detect Parkinson’s or Alzheimer’s years before your doctor does.

Our new @NatRevBioeng paper explains how digital biomarkers from everyday devices could transform brain health. 🧵
https://t.co/v2yfWiTLE2

[Favour Nerrise 🇨🇲 @ CVPR2026 @fnerrise]

@natrevbioeng Grateful to an incredible set of collaborators across @StanfordEng, @StanfordMed, @StanfordHAI, @StanfordBrain & @StanfordADRC:

@EhsanAdeli, @NSchutzPhD, @QingyuZhao, Christine Gould, Arnold Milstein, @kevin_schulman, Victor Henderson, @landay, @drfeifei, and Feng Vankee Lin.