[gigantum]

At Gigantum (https://gigantum.com), we've been working with brain imaging researchers on enabling exploratory analyses that are easy to share or reproduce. For now, our collaborators have focused on large public datasets like the Healthy Brain Network (http://fcon_1000.projects.nitrc.org/indi/cmi_healthy_brain_n...) and OpenNeuro (https://openneuro.org/).

I'm curious to know how you're managing the AI engineering side of things - I know there's nothing close to "the right answer" yet in terms of pipelines for brain images. And of course I'd be interested how folks could collaborate on developing better algorithms for understanding these images (with Gigantum and otherwise).

Certainly, if you have a collaborative project and would like to try Gigantum for coordinating code, data, and computational environments, we'd be happy to support that! We provide a one-click solution to publish a project so that someone else can pick up exactly where you left off.

[erikduhaime]

Hi Gigantum. We actually don't do the computer vision ourselves -- we label the data for companies that do. But your product looks very interesting. Do you work exclusively with brain imaging?

[gigantum]

Makes sense. The founding team came out of large scale brain imaging research, but the goal is that anything you'd do in a notebook / web UI environment (like Jupyter, RStudio, etc.) you should be able to do with the Gigantum Client.

The difference from the standard approach for those tools is that we automate some command line operations (Git, Docker, etc.), and provide UI for the rest. We provide a stable foundation for how to organize data using Git LFS, along with an optimized S3 storage back-end if you need to cherry pick large datasets.

Our main goal is to improve the quality of "academic" science, but we're open to anything that fits!