Thanks everyone for joining the #decisionmaking session this weekend at the Community Leadership Summit hosted by @AllThingsOpen 🙏
Such an insightful moment learning about everyone's experiences and challenges ✨️
#cls2024#opensource
Next Scikit-build Community Meeting happing tomorrow (Feb 17) at 12 noon EST! Join us to hear about current progress and plans for binary #Python extensions! meet.google.com/dvx-jkai-xhq
CEO of the NVIDIA (the world's 8th largest company) shows our @3DSlicerApp in his keynote at Graphics Technology Conference (GTC) 2022! This proves impact of 3D Slicer and @ProjectMONAI in AI in medical image computing.
Don't forget about the Jupyter, Microscopy, and On-demand Dask Cloud Clusters live stream tonight! Hear from Kitware's Matt McCormick as he discusses large-scale microscopic image visualization & analysis with on-demand Dask cloud clusters. Register here:
ow.ly/Xyce50EQG4d
2/2 But despite of being being able to retrieve the unique identifier, #failed to retrieve the password using my email that would have allow me to submit my vote.
Note that numic/email/mobile setup within the service-public.fr account are valid
@francediplo_EN
Great way to end of the week :) The Scientific Computing and Imaging (SCI) Institute and Kitware: Putting Software Sustainability into Practice blog.kitware.com/the-scienti… via @kitware
Sustainability of open source software models is a huge concern, but this is not the answer and there is no moral high ground here. I have heard these complaints for well over twenty years about open source. Part of open source is giving up some control, code living beyond you
The 34th #medicalimagecomputing Project Week kicked off today! There are more than 160 registrations from 18 countries, with over 50 institutions being represented. We are looking forward to connecting on all things @3DSlicerApp! blog.kitware.com/events/slic…
Tutorial for lung CT segmentation for #COVID19 cases using @3DSlicerApp. Such semi-automatic workflows are useful for difficult cases and for generating high-quality training data for deep learning.
It is always incredible to learn about the many different uses built on 3D Slicer in the wild, such as this application for petrology analysis developed by LTrace in Brazil:
ltrace.com.br/geoslicer