Difference between revisions of "Autoseg 2013"
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Building 149, East 13th Street<br> | Building 149, East 13th Street<br> | ||
Charlestown, MA, 02129 | Charlestown, MA, 02129 | ||
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== Agenda == | == Agenda == | ||
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| style="background:#efefef; color:#663300"| '''8:00-8:15''' | | style="background:#efefef; color:#663300"| '''8:00-8:15''' | ||
| − | | style="background:# | + | | style="background:#FFFFFF; color:#522200" colspan="2"| Welcoming remarks |
| + | Greg Sharp, MGH ([[Media:Autoseg-2013-Sharp.pdf|Slides]]) | ||
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| style="background:#efefef; color:#663300"| '''8:15-10:00''' | | style="background:#efefef; color:#663300"| '''8:15-10:00''' | ||
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| style="background:#FFFFFF; color:#522200" colspan="2"| A novel multi-atlas segmentation approach applied to esophagus delineation for thoracic oncology applications | | style="background:#FFFFFF; color:#522200" colspan="2"| A novel multi-atlas segmentation approach applied to esophagus delineation for thoracic oncology applications | ||
| − | Jinzhong | + | Jinzhong Yang, MDACC ([[Media:Autoseg-2013-Yang-EsophagusSegmentation.pdf|Slides]]) |
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| style="background:#efefef; color:#663300"| '''10:00-10:15''' | | style="background:#efefef; color:#663300"| '''10:00-10:15''' | ||
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Option B: Subway + Taxi. Take Red line to “Charles/MGH” or Orange line to “Community College” station, then take a taxi the rest of the way. | Option B: Subway + Taxi. Take Red line to “Charles/MGH” or Orange line to “Community College” station, then take a taxi the rest of the way. | ||
| − | Option C: Partners shuttle. | + | Option C: Partners shuttle. Partners Healthcare operates a free shuttle between MGH, North Station, and Charlestown. |
http://www.partners.org/shuttle_schedules.aspx | http://www.partners.org/shuttle_schedules.aspx | ||
Latest revision as of 20:57, 12 March 2013
Home < Autoseg 2013
Contents
Introduction
Autoseg 2013 is a scientific workshop dedicated to the design of algorithms for automatic segmentation of medical images.
The workshop is free and open to the public.
Venue
Conference Room A
Building 149, East 13th Street
Charlestown, MA, 02129
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Agenda
| Time | Friday, March 8, 2013 | |
| 7:30-8:00 | Breakfast | |
| 8:00-8:15 | Welcoming remarks
Greg Sharp, MGH (Slides) | |
| 8:15-10:00 | Scientific presentations | |
| Geometric statistically based methods for medical image computing
Yi Gao, BWH | ||
| Auto-segmentation with SPICE - Smart Probabilistic Image Contouring Engine
Vladimir Pekar, Philips | ||
| A novel multi-atlas segmentation approach applied to esophagus delineation for thoracic oncology applications
Jinzhong Yang, MDACC (Slides) | ||
| 10:00-10:15 | Coffee break | |
| 10:15-12:00 | Scientific presentations | |
| Model based image analysis for medical images lacking feature contrast
Sila Kurugol, BWH | ||
| N-dimensional segmentation of medical images using statistical InShape models
Karl Fritscher, UMIT | ||
| Semi-automatic feature selection based approaches to segmentation of multi-modal images
Harini Veeraraghavan, MSKCC | ||
| 12:00-1:00 | Lunch | |
| 1:00-2:15 | Scientific presentations | |
| Conditional random field based semi-automatic segmentation with interactive online training
Jason Hu, MSKCC | ||
| Efficiently exploiting clinical experience in atlas based segmentation: an head and neck example
Marta Peroni, Politecnico di Milano | ||
| 2:15-2:30 | Coffee break | |
| 2:30-3:30 | Round table discussion | |
Logistics
The workshop will be held at Building 149, East 13th Street, Charlestown, MA, 02129. Building 149 is located in the Charlestown Navy Yard campus of Massachusetts General Hospital.
How to get to Charlestown
Option A: Taxi. Probably about $20 from Boston's North End, or $30 from the Airport
Option B: Subway + Taxi. Take Red line to “Charles/MGH” or Orange line to “Community College” station, then take a taxi the rest of the way.
Option C: Partners shuttle. Partners Healthcare operates a free shuttle between MGH, North Station, and Charlestown.
http://www.partners.org/shuttle_schedules.aspx
Contact information
Please contact Greg Sharp (gcsharp@partners.org) for questions.
