Ehsan Adeli

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Ehsan Adeli

Ehsan Adeli

@eadeli

Prof. at @Stanford @StanfordMed @StanfordPSY; @StanfordSVL; @StanfordAILab; @StanfordTAIL AI, Computer Vision, Neuroscience, Healthcare, Medical Image Analysis.

Stanford, CA Katılım Temmuz 2009
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AGI Summit
AGI Summit@agisummitai·
🧠 Speaker Spotlight: Ehsan Adeli @eadeli AI in medicine is moving beyond research papers and prototypes. Ehsan Adeli is building translational AI systems that can move from the lab into real clinical care — combining medical AI, computer vision, ambient intelligence, and mental health research. 🔹 Director, STAI — Stanford Translational AI in Medicine & Mental Health @StanfordAILab 🔹 Co-Director, Stanford AI for Mental Health Initiative 🔹 Works across computer vision, ambient intelligence & computational neuroscience 🔹 Focused on real-world applications in aging, neurodegeneration, mental health & clinical care As AI becomes part of healthcare, the question is not just what models can predict — it’s how they can support clinicians, patients, and care systems in the real world. Hear Ehsan on stage at AGI Summit SF 2026. 📅 July 18–19, 2026 📍 Palace of Fine Arts, San Francisco 🎟 Tickets: luma.com/agisummit2026?… 🏷️ 15% off automatically applied through the link #AGISummit #MedicalAI #HealthcareAI #MentalHealthAI #sanfrancisco
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Amir Zamir
Amir Zamir@zamir_ar·
Turns out it's possible to generate videos that maximally excite an arbitrary brain region using a simple search-based algorithm. It's a fully computational approach, so it's another way to speculate what a brain region represents, alongside other neuroscientific methods. Select an arbitrary brain region->algorithmically generate a video that jacks it up. See the visuals on the webpage nevo-project.epfl.ch In silico (for now)
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Yingtian Tang@yingtian_david

🚨 NEW PREPRINT Videos strongly shape activity across the visual cortex. But can we design videos that maximally drive specific brain regions? We present NEvo 🧬🧠 — a neural-guided evolutionary framework that synthesizes videos to maximally activate target visual ROIs. (1/10)

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Alan Baade
Alan Baade@BaadeAlan·
I'll be at ICML to present Latent Forcing! Come stop by the poster on Tuesday at 2:00 PM KST, Hall A #3507 Reach out if you want to chat about the future of generative models!
Alan Baade@BaadeAlan

What's the right space to diffuse in: Raw Data or Latents? Why not both! In Latent Forcing, we order a joint diffusion trajectory to reveal Latents before Pixels, leading to improved convergence while being lossless at encoding and end-to-end at inference. w/ @drfeifei+... 1/n

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Tiange Xiang
Tiange Xiang@xxtiange·
Thrilled to announce the 🏎️QuantiPhy Challenge🏃 to appear in #NeurIPS2026 Competition Track! Read more at: quantiphy.stanford.edu/competition/ We host this competition to bring together attention from two important communities: VLMs and physics reasoning. How numerically accurate can your model estimate size/velocity/acceleration from video? Submit your results to the Quantiphy Challenge!! P.S. We are seeking sponsors to prepare exciting prizes for winners! Please reach out for sponsors that are open to collaborate :)
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Stanford HAI
Stanford HAI@StanfordHAI·
Last week, @StanfordHAI & AI4MH's 2026 symposium explored responsible AI adoption in mental health. CA Assembly Member @AsmMiaBonta stressed the need to protect youth as they turn to chatbots & other AI tools for mental health challenges. Full session ↘️ youtube.com/watch?v=KBZJYk…
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Favour Nerrise 🇨🇲
Favour Nerrise 🇨🇲@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!
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Ehsan Adeli
Ehsan Adeli@eadeli·
It was so great meeting everyone and discussing our research. Looking forward to the rest of the week @CVPR !
JHU BodyMaps@bodymaps317

10/ Prof. Ehsan Adeli (@Stanford Psychiatry + CS), Director of STAI Lab. Talk: "From Bedside to Living Room: Reimagining Care Through Ambient Intelligence" His lab deploys tiny cameras in senior homes to detect early signals of cognitive decline — catching Alzheimer's before a clinical visit ever would. Computer vision that lives quietly in the background of everyday life. The clinic can't be everywhere. Ambient AI can. 🏠🧠 #CVPR2026 #AmbientAI #CognitiveCare @CVPR @Stanford

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JHU BodyMaps
JHU BodyMaps@bodymaps317·
10/ Prof. Ehsan Adeli (@Stanford Psychiatry + CS), Director of STAI Lab. Talk: "From Bedside to Living Room: Reimagining Care Through Ambient Intelligence" His lab deploys tiny cameras in senior homes to detect early signals of cognitive decline — catching Alzheimer's before a clinical visit ever would. Computer vision that lives quietly in the background of everyday life. The clinic can't be everywhere. Ambient AI can. 🏠🧠 #CVPR2026 #AmbientAI #CognitiveCare @CVPR @Stanford
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JHU BodyMaps
JHU BodyMaps@bodymaps317·
🏠 What if clinical-quality care could follow you everywhere? Ehsan Adeli (@Stanford , STAI Lab) — AI, computer vision, computational neuroscience, digital health — @CVPR : "From Bedside to Living Room: Reimagining Care Through Ambient Intelligence" Aging. Mental health. Neurodegenerative disorders. Continuous, sensor-based, human-centered care. #AmbientIntelligence #DigitalHealth #ComputerVision #MentalHealth #CVPR2026
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Stanford HAI
Stanford HAI@StanfordHAI·
Building effective AI tools for mental health requires more than technical innovation — it requires rigorous science, human-centered design, and real-world clinical insight. Join us at the 2026 AI4MH Symposium on Monday, June 1. Register here: cvent.me/Ry2xx7
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JHU BodyMaps
JHU BodyMaps@bodymaps317·
📅 #CVPR2026 kicks off June 3 — and so do we. The 12th Medical Computer Vision Workshop opens Day 1 of @CVPR's 43rd edition with 11 keynotes you won't find on any other stage. Room 605 · Colorado Convention Center · Denver @RutgersU · @penn_state · @JohnsHopkins × 2 · @BU_Tweets × 2 · @Stanford · @Cornell · @nvidia · @GoogleResearch · @MSFTResearch Foundation models. Surgical AI. Digital twins. Generative imaging. Interpretable AI. Precision health. Ambient intelligence. Distribution shift. The full map of where medical AI is going — in one room, in one day. @MathiasUnberath @ArchanaVen @hoifungpoon @Jere_je_je @kbatmang @eadeli @mertrory + Dimitris Metaxas · Daguang Xu · Sharon X. Huang · Maddie Traverse #MedicalAI #MedicalComputerVision #ComputerVision #HealthcareAI #CVPR2026
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JHU BodyMaps
JHU BodyMaps@bodymaps317·
🔥 The 12th CVPR Workshop on Medical Computer Vision. 11 keynotes. One day. The entire frontier of medical AI in a single room. 📍 June 3, 2026 · Room 605 · Colorado Convention Center, Denver 🎙️ Session I (9:15 am): → Dimitris Metaxas (@RutgersU) → Daguang Xu (@nvidia) → Sharon X. Huang (@penn_state) → Mathias Unberath (@JohnsHopkins) → Archana Venkataraman (@JohnsHopkins) 🎙️ Session II (1:00 pm): → Maddie Traverse (@GoogleResearch @Google) → Hoifung Poon (@MSFTResearch) → Jeremias Sulam (@JohnsHopkins) → Kayhan Batmanghelich (@BU_Tweets) → Ehsan Adeli (@Stanford) → Mert Sabuncu (@Cornell) If you're at #CVPR2026, you cannot miss this. #MedicalAI #ComputerVision #FoundationModels #HealthcareAI #MedicalImaging
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Babak Taati
Babak Taati@Babak_Taati·
Call for Papers! #ECCV2026 Workshop and Challenge on Human Motion Challenges in Real-World and Clinical Settings. 🌐Website: mocha.care-pd.ca best paper award and cash prizes for top 2 challenge teams generously sponsored by @MachineMedicine
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Thomas G. Dietterich
Thomas G. Dietterich@tdietterich·
Attention @arxiv authors: Our Code of Conduct states that by signing your name as an author of a paper, each author takes full responsibility for all its contents, irrespective of how the contents were generated. 1/
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