Training - Revision history

Spujol at 15:16, 2 November 2019

2019-11-02T15:16:06Z

Spujol at 00:11, 5 March 2019

2019-03-05T00:11:34Z

Spujol at 15:34, 13 September 2018

2018-09-13T15:34:22Z

Spujol at 19:36, 17 May 2018

2018-05-17T19:36:33Z

Spujol at 12:50, 27 March 2018

2018-03-27T12:50:48Z

Grundlett: 1 revision imported: "pages" articles

2017-06-01T23:53:25Z

1 revision imported: "pages" articles

Spujol at 17:53, 15 May 2017

2017-05-15T17:53:36Z

Spujol at 04:26, 2 March 2017

2017-03-02T04:26:31Z

Spujol at 23:32, 25 February 2017

2017-02-25T23:32:08Z

Spujol at 15:07, 22 February 2017

2017-02-22T15:07:52Z

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 *[[RSNA_Pilot_Study | RSNA Pilot Study]]
 * [[2013PostDTIChallenge | DTI Challenge 2013 follow-up]]
-* [[Training:Events_Timeline|List of Training Core Events, 2005-2018]]
+* [[Training:Events_Timeline|List of Training Core Events, 2005-2019]]
 * [[ProjectWeek200706:ContrastingTractographyMeasures | Contrasting Tractography Project Page]]
 * [[Training:Glossary|Glossary]]

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 *[[Training:Slicer4 Tutorials | Slicer 4 Tutorials (under construction)]]
 *[[Training:Slicer Discourse | Slicer Discourse ]]
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 <!-- [[Slicer:Workshops:User_Training_101_SPujol|Compendium ]] -->
 *[[Training:Slicer4 Tutorials | Slicer 4 Tutorials (under construction)]]
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 *[[RSNA_Pilot_Study | RSNA Pilot Study]]
 * [[2013PostDTIChallenge | DTI Challenge 2013 follow-up]]
-* [[Training:Events_Timeline|List of Training Core Events, 2005-2017]]
+* [[Training:Events_Timeline|List of Training Core Events, 2005-2018]]
 * [[ProjectWeek200706:ContrastingTractographyMeasures | Contrasting Tractography Project Page]]
 * [[Training:Glossary|Glossary]]

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 *[[Training:NAC Training | Joint NAC Training events]]
 <!-- [[Slicer:Workshops:User_Training_101_SPujol|Compendium ]] -->
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← Older revision	Revision as of 23:53, 1 June 2017
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 * [[Training:Quality Assurance|NA-MIC Training Core: Quality Control Effort ]]
 * [[Training:Miscellaneous| Miscellaneous materials]]
 <!-- [[Slicer:Workshops:User_Training_101_SPujol|Compendium ]] -->
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-__NOTOC__
+ Back to [[Cores|NA-MIC Cores]]
-=Training=
+<div class="floatright"><span>[[Image:Core5.png|[[Image:Core5.png|Logo]]]]</span></div>
-==Focus Areas==
+The main objectives of the Training team are the development of educational materials for the scientific community. Initial development is based on the needs of the NA-MIC community, and consists of the delivery of hands-on training workshops for software developers and end-users.
-===Hands-on training===
+*Sonia Pujol, PhD, BWH (PI)
-===Validation methodology and practice===
+Emeritus Members:
-[[Image: Xu-MICCAI2010-fig3.png|442px|left|]] Validation plays an important role in the assessment of algorithm performance that benefits both developers and users. Among the challenges of validating segmentation and registration algorithms for patient-specific analyses are (1) definition of appropriate metrics to measure differences among tools and across a sequence of images of the same patient; (2) evaluation of the significance of the differences observed, and (3) comparison to a gold standard, where available. Validation enables developers to assess the performance and limitations of their tools and to identify areas for improvement. In addition, validation provides users with the ability to compare different tools in a standardized way. For example, a retrospective validation analysis of the clinical accuracy of MRI-guided robotic biopsy for prostate cancer [5] developed by the Prostate DBP is shown in the figure. We have developed a portfolio of validation approaches for image segmentation through the organization of Grand Challenge workshops at the Medical Image Computing Computer-Assisted Intervention (MICCAI) Conference, and through our pioneering initiative in the standardized evaluation of single-tensor imaging tractography algorithms, as well as the first DTI Tractography Challenge for Neurosurgical Planning that gathered 8 international research teams at MICCAI 2011 [4,6].
+*Randy Gollub, MD-PhD, MGH
+<br /> The following links will guide you through the Training team activities and materials:
-==Suggested Reading==
+*[[Tutorial_Contests| 3D Slicer Tutorial Contests]]
-# John D. Bransford, Ann L. Brown, and Rodney R. Cocking, editors; How People Learn: Brain, Mind, Experience, and School. National Research Council, The National Academies Press, Washington, D.C. 1999.
+*[[RSNA_3D_Courses | RSNA 3D Courses ]]
-# Lai I, Gollub R, Hoge R, Greve D, Vangel M, Poldrack R, Greenberg J. Teaching Statistical Analysis of fMRI Data. Proceedings of the American Society for Engineering Education (CD-ROM DEStech Publications) Session 2109: 11 pages, 2003.
+*[[RSNA_Pilot_Study | RSNA Pilot Study]]
-# Pujol S., Kikinis R., Gollub R. [http://www.na-mic.org/publications/item/view/1187 Lowering the Barriers Inherent in Translating Advances in Neuroimage Analysis to Clinical Research Applications.] Acad Radiol. 2008 Jan;15(1):114-8. PMID: 18078914. PMCID: PMC2234595.
+* [[2013PostDTIChallenge | DTI Challenge 2013 follow-up]]
-# Pujol S, Westin CF, Whitaker R, Gerig G, Fletcher T, Magnotta V, Bouix S, Kikinis R, Wells W, Gollub R. Preliminary results on the use of STAPLE for evaluating DT-MRI tractography in the absence of ground truth. Proceedings of the 17th Scientific Meeting of the International Society for Magnetic Resonance in Medicine. 2009.
+* [[Training:Events_Timeline|List of Training Core Events, 2005-2016]]
-# Xu H., Lasso A., Vikal S., Guion P., Krieger A., Kaushal A., Whitcomb L.L., Fichtinger G. MRI-guided Robotic Prostate Biopsy: A Clinical Accuracy Validation. Int Conf Med Image Comput Comput Assist Interv. 2010 Sep;13(Pt 3):383-91. PMID: 20879423. PMCID: PMC2976594.
+* [[ProjectWeek200706:ContrastingTractographyMeasures | Contrasting Tractography Project Page]]
-# Pujol S, Kikinis R, Golby A, Gerig G, Styner M, Wells W, Westin CF, Gouttard S, Nabavi A. [http://www.na-mic.org/Wiki/index.php/Events:_DTI_Tractography_Challenge_MICCAI_2011 DTI Tractography for Neurosurgical Planning: A Grand Challenge.] Int Conf Med Image Comput Comput Assist Interv. (MICCAI) 2011, Toronto, Canada.
+* [[Training:Glossary|Glossary]]