Difference between revisions of "Project Week 27"

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== Visualization and Interaction ==
== Visualization and Interaction ==
#[[Project_Week_27/SlicerVR | SlicerVR Updates]] (JC Fillon-Robin, Beatriz Paniagua, and others)
== Deep Learning. Radiomics and GPUs ==
== Deep Learning. Radiomics and GPUs ==

Revision as of 16:12, 21 November 2017

Home < Project Week 27

Back to Events

A summary of all past Project Events.


Welcome to the web page for the 27th Project Week!

The 27th NA-MIC Project Week will be held during the week of January 8-12, 2018 at MIT.

This project week is an event endorsed by the MICCAI society.

Please make sure that you are on the NA-MIC Project Week mailing list.


  • Dates: January 8-12, 2018.
  • Location: MIT CSAIL, Cambridge, MA. (Rooms: R&D)
  • Transportation: Please plan to use public transportation. No parking permits are available by MIT. For a list of local garages, please see here
  • REGISTRATION: Coming soon
  • Hotel: Similar to previous years, no rooms have been blocked in a particular hotel.


The National Alliance for Medical Image Computing (NAMIC), chartered with building a computational infrastructure to support biomedical research, was seeded in 2005 and funded through 2015 by the NIH NCBC program. The work of this alliance has resulted in important progress in algorithmic research, an open source medical image computing platform 3D Slicer, enhancements to the underlying building blocks VTK, ITK, CMake, and CDash, and the creation of a community of algorithm researchers, biomedical scientists and software engineers who are committed to open science. This community meets twice a year in an open source hackathon event called Project Week.

Project Week is a semi-annual open source hackathon which draws 60-120 researchers. As of August 2014, it is a MICCAI endorsed event. The participants work collaboratively on open-science solutions for problems that lie on the interfaces of the fields of computer science, mechanical engineering, biomedical engineering, and medicine. In contrast to conventional conferences and workshops the primary focus of the Project Weeks is to make progress in projects (as opposed to reporting about progress). The objective of the Project Weeks is to provide a venue for this community of medical open source software creators. Project Weeks are open to all, are publicly advertised, and are funded through fees paid by the attendees. Participants are encouraged to stay for the entire event.

Project Week activities: Everyone shows up with a project. Some people are working on the platform. Some people are developing algorithms. Some people are applying the tools to their research problems. We begin the week by introducing projects and connecting teams. We end the week by reporting progress. In addition to the ongoing working sessions, breakout sessions are organized ad-hoc on a variety of special topics. These topics include: discussions of software architecture, presentations of new features and approaches and topics such as Image-Guided Therapy.

Several funded projects use the Project Week as a place to convene and collaborate. These include NAC, NCIGT, QIICR, and OCAIRO.

Please make sure that you are on the NA-MIC Project Week mailing list

Conference Calls for Preparation


Conference call notes are available here.

Planning Call Calendar

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Project Week Joining Info

To join the preparation hangout, click on the event above, then "more details" and finally click on the video link under "Joining Info".



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iCal (.ics) link: https://calendar.google.com/calendar/ical/kitware.com_sb07i171olac9aavh46ir495c4%40group.calendar.google.com/public/basic.ics


How to add a new project ?

  1. Join the weekly preparation call to discuss your idea
  2. Add a new entry in the category below by copying the Project Template

Visualization and Interaction

  1. SlicerVR Updates (JC Fillon-Robin, Beatriz Paniagua, and others)

Deep Learning. Radiomics and GPUs

Web Technologies

IGT: Navigation, Robotics, Surgical Planning


Quantitative Imaging Informatics

Shape Analysis, Segmentation

  1. SlicerSALT Shape Analysis Toolbox Updates (Laura Pascal, JC Fillon-Robin, Beatriz Paniagua, Juan Prieto, Loic Michaud)
  2. Segmentation Inverse Challenge Playoff (Tina Kapur, Csaba Pinter, Steve Pieper, Andras Lasso)
  3. Shape Variation analyzer (Juan Prieto, Nina Tubau)
  4. Shape self-learning applications (Juan Prieto, Loic Michaud)


  1. Slicer Custom Application (Jc Fillon-Robin, Andras Lasso)
  2. Slicer Documentation @ ReadTheDocs (Jc Fillon-Robin, Andras Lasso)

Training and Dissemination


Do not add your name to this list - it is maintained by the organizers based on your paid registration.