Free registration!

Impressive this covid-19 event risk assessment tool, by county and event size covid19risk.biosci.gatech.edu

Scientific Python lecture notes scipy-lectures.github.com

Sad news: A new hire decided moving to USA is too risky given current status on COVID-19, economy, prospects for higher education, and immigration policies. Posting their letter (w permission) so others can be aware of how the US is viewed now by this highly talented person (1/3)

Beautiful warm weekend in New England, we were able to finish our #treehouse before the winter!

Excited to announce that Quantivly has been awarded a $256k U.S. National Science Foundation SBIR Phase I grant to unlock #MRI scanner data and change the way radiology optimizes MRI operations! So grateful for the support of the NSF, our team and our advisors. quantivly.com #NSFfunded #startup

Glad to see my first work in diffusion MRI (chronologically) finally out! 🥳 Huge thanks to the coauthors of this work, including Maxime Descoteaux, Simon Warfield, Maria Nilsson, and Benoit Scherrer!!! sciencedirect.com/science/articl…

I have been thinking about how different people interpret data differently. And made this xkcd style graphic to illustrate this.

Excited to present & demo our research at the root of Quantivly today!

Why has #AI not flourished in Radiology? Because DL is brittle, and has largely been applied to the wrong problems. Turn the focus to upstream, high-value and low-regret imaging applications to get traction. qz.com/2016153/ai-pro…

I will be talking about "How #data and #AI will transform operations in #radiology" tomorrow at the #Ai42021 Conference. Stay tuned! Quantivly Ai4 - Artificial Intelligence Conferences app.swapcard.com/event/ai4-2021…

We're #hiring! Looking for a #python wizard to lead the development of the Quantivly platform's back-end dropbox.com/s/76vsovu3maix…

MRI scan of a person moving their eyes back and forth.

Can't wait to discuss how the Quantivly unified data layer can help medical physicists deliver value to hospitals and patients with the American Association of Physicists in Medicine!

I'll be in the Quantivly booth (#9 in the startup area) at #aapm2022. Stop by and let's chat about how we are building the digital twin of radiology operations!

✨ #NeurIPS2022 paper: hal.archives-ouvertes.fr/hal-03723551 An easily reusable benchmark that shows that deep learning underperforms tree-based models on typical tabular data. A thread, situating the work given the feedback (including neurips reviews). 1/9

I enjoyed this conversation about Quantivly's vision to build the digital twin of radiology operations. Listen here (lnkd.in/eRUqmSAx) or on your favorite podcast app and book a time to learn more at #rsna2022 (booth #2802) at the link below. calendly.com/quantivly-rsna…