3D > 2D for patellar instability 🦵 Our new study in OJSM introduces 3D-PASS, a score that describes patellar instability severity using 3D anatomical data and is capable of predicting patient outcomes Higher 3D-PASS <> worse predicted outcomes 🔗 doi.org/10.1177/2325... @aossmjournals.bsky.social
Anthony A. Gatti
@aagatti.bsky.social
Dad | Husband | @McMasterU PhD | @StanfordRad & @WuTsaiAlliance Postdoc | @CIHR_IRSC Fellow | Runner. Biker. Adventurer. Big science geek. http://anthonygattiphd.com
We're moving closer to using 3D imaging to personalize operative vs nonoperative decisions for patients. 🏥🩹 Very grateful to collaborate with an amaing team including @aagatti.bsky.social, the JUPITER Study Group, Scott Delp, and Seth Sherman!
Watch the @mobilizecenter.bsky.social/Restore Center webinar with @aclouthier.bsky.social and Erin Lee entitled “Integrating Bone and Joint Geometry into Musculoskeletal Models” Research presentation: youtu.be/QtqDx3_uK9I Tutorial: youtu.be/wqxQl3Dm9lc
Webinar: Integrating Bone and Joint Geometry into Musculoskeletal Models, Part 1 of 2
YouTube video by Mobilize Center
youtu.be
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!
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?
“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).🧵
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.
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....
Oh so it does have phd level intelligence
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.’
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.
Rest in peace, boss. @beierlab.bsky.social -- your stoic and positive support helped me in too many ways to count over the years.
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.
What an absolutely extraordinary milestone. Congrats @fmrib-steve.bsky.social @fmrib-karla.bsky.social and everyone else involved. www.bbc.co.uk/news/article...
Biggest human imaging study scans 100,000th UK volunteer
UK Biobank scientists say the human body can be studied in greater detail than ever thanks to people like Steve.
bbc.co.uk
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.
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
We write papers, but we build people. You (yes, you, my fellow academic) too; please don’t forget that.
✨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!
Something big is coming up tomorrow. Watch this space… 💪🏻 ⚡️ ⚽️ 💪🏻🦵🏃🏻♂️➡️👟🥋🏋🏻🚴♂️📈📊📚
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.
Since LLMs came out I’ve thought they are the perfect tool for systematic reviews. This is an excellent use case.
👀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.
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).
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
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
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
Over the last few years we have been developing methods for markerless motion capture of biomechanics and getting them into the clinics, such as at @abilitylab.bsky.social. We are now developing foundation models from these large datasets and testing what this enables. Two recent preprints:
It pains me to say this, but if you are not a US citizen, you should not attend scientific conferences in the US, visit US institutions, or otherwise travel to our country. Right now it's not worth the risk. Hopefully that will change. If it doesn't, science in the US is sunk anyway.
'Scientific conferences are leaving the US amid border fears' www.nature.com/articles/d41...
Government spending on fundamental research is somewhat pointless (from the economic development perspective!) unless there are mechanisms to capture developments that could have commercial value in this country. We give away or license most of this outside 🇨🇦. That is a BIG problem.
"Thinking time —the time needed to concentrate without interruptions has always been central to scholarly work. It is essential to designing experiments, compiling data, assessing results, reviewing literature and, of course, writing. Yet, [it] is often undervalued." www.nature.com/articles/d41...