Anthony A. Gatti
@aagatti.bsky.social
390 followers 330 following 92 posts
Dad | Husband | @McMasterU PhD | @StanfordRad & @WuTsaiAlliance Postdoc | @CIHR_IRSC Fellow | Runner. Biker. Adventurer. Big science geek. http://anthonygattiphd.com
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aagatti.bsky.social
I'm excited to share that our work on #deeplearning based shape modeling is finally out in #ieee.

🧵 for info about Data, Benchmarks, and Models!

@akshay-chaudhari.bsky.social @stanfordmedicine.bsky.social

www.medrxiv.org/content/10.1...
ieeexplore.ieee.org/document/107...
aagatti.bsky.social
Is this less of a trick if the goal is to see the SMD on elite athletes? It’s only biasing it/misleading if we are interpreting the effect size for the population of all people?
Reposted by Anthony A. Gatti
mnrajah.bsky.social
This ☝🏽 💯

If 🇨🇦 created a thriving research environment by investing in tri-council & ditching the PJT focused approach that kills investment in long term programs - we would ATTRACT international talent vs bribing them to move here; to only leave later when they see there’s no sustainable funding!
Reposted by Anthony A. Gatti
keenancrane.bsky.social
I can't* fathom why the top picture, and not the bottom picture, is the standard diagram for an autoencoder.

The whole idea of an autoencoder is that you complete a round trip and seek cycle consistency—why lay out the network linearly?
Reposted by Anthony A. Gatti
keenancrane.bsky.social
“Everyone knows” what an autoencoder is… but there's an important complementary picture missing from most introductory material.

In short: we emphasize how autoencoders are implemented—but not always what they represent (and some of the implications of that representation).🧵
Reposted by Anthony A. Gatti
emollick.bsky.social
We are starting to see some nuanced discussions of what it means to work with advanced AI in its current state

In this case, GPT-5 Pro was able to do novel math, but only when guided by a math professor (though the paper also noted the speed of advance since GPT-4)

The reflection is worth reading.
Reposted by Anthony A. Gatti
jonathanamichaels.bsky.social
We're thrilled to introduce ATHENA: Automatically Tracking Hands Expertly with No Annotations – our open-source, Python-based toolbox for 3D markerless hand tracking!

Paper: www.biorxiv.org/content/10....
Reposted by Anthony A. Gatti
Reposted by Anthony A. Gatti
economeager.bsky.social
Oh so it does have phd level intelligence
victorshammas.com
Google Gemini doesn’t appear to be doing too well:

‘"I am a disgrace to this planet. I am a disgrace to this universe. I am a disgrace to all universes . . . I am a disgrace to all possible and impossible universes and all that is not a universe," the bot continued.’
Google says it's working on a fix for Gemini's self-loathing 'I am a failure' comments
Google Gemini users said the bot is sharing self-loathing messages while attempting to solve tasks, including "I am a disgrace to this universe."
www.businessinsider.com
Reposted by Anthony A. Gatti
wjakob.bsky.social
Methods like NeRF and Gaussian Splats model the world as radioactive fog, rendered using alpha blending. This produces great results.. but are volumes the only way to get there?🤔 Our new SIGGRAPH'25 paper directly reconstructs surfaces without heuristics or regularizers.
aagatti.bsky.social
French fries just a surrogate for fast food in this case?
Reposted by Anthony A. Gatti
andpru.bsky.social
Rest in peace, boss. @beierlab.bsky.social -- your stoic and positive support helped me in too many ways to count over the years.
beierlab.bsky.social
Cancer update. A bit darker than usual. Cancer has advanced and it looks like I only have a few months left. Took me a few days to get used to this new timeline. Time to start wrapping things up at home and at the lab. Thankfully there is little pain and I am relatively functional.
aagatti.bsky.social
I love this type of approach - for imaging, biomechanics, or other domains…

Take high quality dense data, use physics simulators to generate synthetic sparse data, then train a model to recon dense data from sparse measurements.

Lots of potential pitfalls, but the concept is immensely powerful.
radiology-ai.bsky.social
Pixel-level lung thickness maps for real and synthetic radiographs generated with a U-Net trained on synthetic data https://doi.org/10.1148/ryai.240484 #ChestRad #LungVolume #ChestXray
Image from article in Radiology: Artificial Intelligence
Reposted by Anthony A. Gatti
ianholmes.org
White text on white background instructing LLMs to give positive reviews is apparently now common enough to show up in searches for boilerplate text.
neuralnoise.com
"in 2025 we will have flying cars" 😂😂😂
aagatti.bsky.social
I’m torn on this.

I feel like it is valuable to be honest in the data and to improve it if things change/update.

But it just seems like a nightmare to keep up on the literature when not only is there a new paper, but the one you’ve read changed.
Reposted by Anthony A. Gatti
felipecarpes.bsky.social
We write papers, but we build people.

You (yes, you, my fellow academic) too; please don’t forget that.
Reposted by Anthony A. Gatti
armanafzadeh.bsky.social
✨Some news✨: after finishing my postdoc, I’ll be starting my lab as an Assistant Professor at Georgia Tech. Join us in Atlanta to study how joints work and where they come from!
Reposted by Anthony A. Gatti
felipecarpes.bsky.social
Something big is coming up tomorrow. Watch this space…
💪🏻 ⚡️ ⚽️ 💪🏻🦵🏃🏻‍♂️‍➡️👟🥋🏋🏻🚴‍♂️📈📊📚
Reposted by Anthony A. Gatti
neural-reckoning.org
Are there useful or interesting ways to use LLMs other than prompting them? I feel like compressing all the text in the world via a hierarchically structured statistical model is probably useful, but that we're using it in a way that is unlikely to do what we'd hope.
aagatti.bsky.social
Since LLMs came out I’ve thought they are the perfect tool for systematic reviews. This is an excellent use case.
emollick.bsky.social
👀This is impressive: Using an autonomous agent based on o3-mini and GPT-4.1, a team from Harvard, MIT & other institutions reproduced and updated an entire issue of Cochrane Reviews in two days… saving 12 person-years of work.

The AI reviews captured more papers & were more accurate than humans.
Reposted by Anthony A. Gatti
aelesj.bsky.social
Are you interested in muscle #biomechanics and looking for #postdoc opportunities?

If you have skills in (statistical) shape modelling, advanced data analyses or 3D imaging/model reconstructions, get in touch with me!

I will be at #SEB2025 (Antwerp), #CNB2025 (Helsinki), and #ISB2025 (Stockholm).
Reposted by Anthony A. Gatti
northernthrux.bsky.social
Our Siemens 7T Collaboration Scientist is moving to support the Siemens 7T Terra.X Impulse at Stanford. Siemens is rehiring for our position, located in Canada's National Ultra-High Field MRI platform cfmm.uwo.ca in London, Ontario 🇨🇦. onehealthineers.wd3.myworkdayjobs.com/SHSJB/job/OA...
Centre of Functional and Metabolic Mapping - Western University
Western University, in vibrant London, Ontario, delivers an academic and student experience second to none.
cfmm.uwo.ca
Reposted by Anthony A. Gatti
justinmsolomon.bsky.social
MIT News today features a paper with fun examples coming out this summer by our brilliant PhD student Leticia Mattos Da Silva, postdoc—and Columbia professor in a matter of days!— @silviasellan.bsky.social, and PhD student collaborator Natalia Pacheco-Tallaj. news.mit.edu/2025/animati... Flubber!
Animation technique simulates the motion of squishy objects
MIT researchers developed a computationally efficient method that could enable artists to design realistic simulations of elastic objects, like bouncy or squishy characters, for animated movies or vid...
news.mit.edu
Reposted by Anthony A. Gatti
radiology-ai.bsky.social
Radiology: Artificial Intelligence has joined the rapidly growing #Bluesky social media network https://pubs.rsna.org/page/ai/blog/our_presence_on_bluesky @radiology-ai.bsky.social @cekahn.bsky.social #ESPR2025 #PedsRad #radiology
Image from article in Radiology: Artificial Intelligence
aagatti.bsky.social
You can never cover everything - totally fair.

Now makes me wonder about this approach for fitting a generative model to a new example. Eg optimizing latent vector to best recon new surface.