2017 Winter Project Week

Welcome to the web page for the 24th Project Week! The 24th NA-MIC Project Week open source hackathon is being held during the week of January 9-13, 2017 at MIT. Please go through this page for information, and if you have questions, please contact Tina Kapur, PhD.

Introduction

The National Alliance for Medical Image Computing (NAMIC), was founded in 2005 and chartered with building a computational infrastructure to support biomedical research as part of the NIH funded 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.

A summary of all previous Project Events is available here.

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

Conference Calls for Preparation

Domestic conference call number: 800-501-8979
Access code: 7327389

International conference call numbers
Access code: 7327389

Tcon #3: November 29

• 10am Boston time
• Project Discussions with focus on Machine Learning and Web-based software for clinical research/trials

Tcon #2: November 22

• 10am Boston time
• Topics: continue Deep Learning, Web-based software
• Participants (interests)

1. Tina Kapur, BWH (needle detection)
2. Steve Pieper, Isomics (web-based software, GPU computing)
3. Mahbub, Old Dominion University (creating architectures for deep learning networks in matlab, bridge to Slicer)
4. Siddiqi, Old Dominion
5. Nicole Aucoin, BWH
6. Abdul, NVIDIA Business Development ()
7. Able Brown, NVIDIA
8. JC, Kitware
9. Krisztina Fischer, BWH
10. Andrew Beard, MGH
11. Gordon Harris, MGH
12. Laurent Chauvin, ETS Montreal
13. John Toeber, Bremen U
14. Lauren O'Donnell, BWH
15. Fan Zhang, BWH
16. Isaiah Norton, BWH
17. Wu Ye, BWH
18. Erik Siegler, MGH
19. Pete Anderson
20. Guillaume Pernelle, Imperial College
21. Mike Halle, BWH
22. Louise, Oslo, Norway
23. Paolo, Catanzaro, Italy
24. Salvatore, Catanzaro, Italy
25. Daniel Rubin, Stanford
26. Curt Lisle, Knowledgevis
27. Charles Guttman, BWH

Tcon #1: November 15

• 10am Boston time
• Emergent interest in the application of Deep Learning techniques to medical image analysis.

Participants and interests

• 1. Tina Kapur, BWH -- needle detection
  2. Steve Pieper, Isomics - GPUs
  3. Andras Lasso, Queens - Slicer expert
  4. Frankie Preiswerk, BWH -- hybrid ultrasound and MRI, interested in NVIDIA workshop
  5. JC, Kitware -- Slicer expert
  6. Mike Halle, BWH -- image feature search using deep learning (w/ Sandy Wells)
  7. Peter Neher, DKFZ (filling in for Marco Nolden) -- experience with deep learning with face recognition
  8. Nicole Aucoin, BWH -- Slicer expert
  9. Alireza Mehrtash, UBC, BWH -- deep learning for prostate interventions, extension server for deep learning for Slicer
  10. Daniel Rubin deep learning
  11. Krisztina Fischer -- teaching

Agenda

Time	Monday, January 9	Tuesday, January 10	Wednesday, January 11	Thursday, January 12	Friday, January 13
	Project Presentations	Work on Projects	Work on Projects	Work on Projects	Reporting Day
8:30am		Breakfast	Breakfast	Breakfast	Breakfast
9:00am-10:30am		Clinical Topics	Clinical Topics	Clinical Topics	Clinical Topics
10:30am-12pm:	Talk (Sebastian Ourselin, PhD, UCL)				Project Reporting
12:00pm-1:00pm	Lunch	Lunch	Lunch	Lunch	Lunch boxes; Adjourn by 1:30pm
1:00-5:30pm	1:00pm-2:30pm: Project Presentations				1:30-2:30pm: AMIGO Tour
5:30pm	Adjourn for the day	Adjourn for the day	Adjourn for the day	Adjourn for the day (Optional) Dinner on Thursday Night

Calendar

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

Projects

• Use this Updated Template for project pages

IGT

• Tracked Ultrasound Standardization III: The refining (Andras Lasso, Simon Drouin, Junichi Tokuda, Longquan Chen, Adam Rankin, Janne Beate Bakeng)

Logistics

• Dates: January 9-13, 2017.
• Location: MIT CSAIL, Cambridge, MA. (Rooms: Kiva, R&D)
• REGISTRATION: Register here. Registration Fee: $330.
• Hotel: Similar to previous years, no rooms have been blocked in a particular hotel.

Registrants

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