Difference between revisions of "2017 Tutorial Contest"
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*Simple Python Tool for Quality Control of DWI data (Laurent Chauvin) | *Simple Python Tool for Quality Control of DWI data (Laurent Chauvin) | ||
− | * | + | *[https://www.nitrc.org/docman/view.php/308/1982/SPHARM-PDM_Tutorial_July2015.pdf SPHARM-PDM (Beatriz Paniagua)] |
*Segmentation Module (Csaba Pinter) | *Segmentation Module (Csaba Pinter) | ||
*[[Media:ROSIGTLTutorial_Tokuda_Jan2017.pptx| Integration of Robot Operating System (ROS) and 3D Slicer using OpenIGTLink (Junichi Tokuda)]] | *[[Media:ROSIGTLTutorial_Tokuda_Jan2017.pptx| Integration of Robot Operating System (ROS) and 3D Slicer using OpenIGTLink (Junichi Tokuda)]] |
Revision as of 17:23, 12 January 2017
Home < 2017 Tutorial ContestBack to Winter project week Agenda
Contents
Introduction
Slicer4.6 is used to perform meaningful research tasks. As part of the 3D Slicer Training activities we are building a curated portfolio of tutorials for the basic functions and specialized functionality available in Slicer.
The primary purpose of the Winter 2017 tutorial contest is to enrich the training materials that are available to end-users and developers using 3D Slicer. The contest provides members of the medical image computing and radiology research community a methodology and a framework for developing step-by-step tutorials on advanced image analysis methods. We believe participants will be motivated to join this event to enhance the dissemination of their own algorithms that they have incorporated into the Slicer4 platform, and to enhance training of Slicer4 functionality for their own laboratory groups.
Organizer
Sonia Pujol, Ph.D., Director of Training, Neuroimage Analysis Center, Brigham and Women's Hospital, Harvard Medical School
Categories
- Category 1 (*new*): DEMONSTRATION. This category allows new comers to the Slicer community to provide short demos based on slides and/or videos of their application.
- Category 2: ALGORITHM TUTORIAL. In this category the tutorial will teach a user how to make an algorithm work on their data.
- Category 3: EXTENSION TUTORIAL. In this category, the tutorial will teach a user how to use an Extension of Slicer.
- Category 4: END TO END SOLUTION TUTORIAL. In this category, the tutorial will teach a user how to solve a particular clinical problem using a workflow implemented in Slicer.
- Category 5: TUTORIAL UPGRADE/UPDATE"'. This category allows teams who participated in the past tutorial contest editions to submit an update/upgrade of their previous submission.
Entries in each category require the following material:
- scientific background and application motivation
- step-by-step instructions
- anonymized sample dataset
Rules
The evaluation criteria for the 2017 tutorial contest are below:
- Tutorial must be based on the Slicer 4.6 release version of the software.
- To enter the contest, you must provide 'a version of the tutorial that works on all supported platforms (Mac,Windows,Linux)
- Tutorial and all of its components (data, powerpoints/pdfs, additional modules etc.) must be released under the Slicer license
- Tutorial data must be anonymized
- Tutorial must include contact information of the primary author (e-mail and phone number)
- Tutorial must follow the guidelines specified above and use the Winter 2017 contest tutorial template.
- If applicable, the tutorial must provide clear directions for downloading and installing additional modules
Submission Process
Submission dead-line: Wednesday January 11, 2017
- To enter the contest, please follow the 5 steps below:
- 1. Create a wiki page for your tutorial on the NA-MIC wiki.
- 2. Upload your slides/demos and tutorial dataset. Your tutorial and data must be named as 'TutorialName_TutorialContestWinter2017.pdf' and 'TutorialData_TutorialContestWinter2017.zip'
- 3. Add a link to the uploaded tutorial and datasets on your tutorial page.
- 4. Copy the template of the Winter 2017 test table on your tutorial page, and document the status of your cross-platform testing (Mac, Windows, Linux).
- 5. Once you have completed step 1-4, add a link to your tutorial page in the list below and send a notification email to Sonia Pujol (spujol at bwh.harvard.edu) to receive a confirmation of your submission.
Tutorials
- Simple Python Tool for Quality Control of DWI data (Laurent Chauvin)
- SPHARM-PDM (Beatriz Paniagua)
- Segmentation Module (Csaba Pinter)
- Integration of Robot Operating System (ROS) and 3D Slicer using OpenIGTLink (Junichi Tokuda)
- Slicer Pathology (Erich Bremer)
- Fiber Bundle Volume Measurement, tutorial data (Shun Gong)
Review Session
The review session of the 2017 Tutorial Contest will take place on Thursday January 12 at the Massachusetts Institute of Technology, Cambrigde, MA as part of the Winter 2017 Slicer Project Week. All contestants will be invited to present brief highlights of their tutorials. Each presentation should be 5-minute summary of the submission.
- Judges:
- Rebekka Lauer, Humboldt-University, Berlin
- Parvin Mousavi, Brigham and Women's Hospital
- Peter Anderson
Results
The winner of the 2017 tutorial contest will be announced on Friday January 13 during the closing session of the Slicer Project Week.