Difference between revisions of "News/2014"
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(Aaded 'Multiple-object geometric deformable model for segmentation of macular OCT'.) |
(Added link to new book website.) |
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| + | * [[Prince|Jerry L. Prince's]] book [http://www.pearsonhighered.com/educator/product/Medical-Imaging-Signals-and-Systems/9780132145183.page Medical Imaging Signals and Systems 2/E] is released. | ||
* The video and presentation from Fangxu Xing's 2013 MICCAI talk, titled '''"3D Tongue Motion from Tagged and Cine MR Images"''', is now [http://www.miccai2013.org/conference-program/O5-06/ available]. | * The video and presentation from Fangxu Xing's 2013 MICCAI talk, titled '''"3D Tongue Motion from Tagged and Cine MR Images"''', is now [http://www.miccai2013.org/conference-program/O5-06/ available]. | ||
* Aaron Carass' paper '''"Multiple-object geometric deformable model for segmentation of macular OCT"''' appears in {{iacl-pub bmoe}}. {{doi|10.1364/BOE.5.001062}} | * Aaron Carass' paper '''"Multiple-object geometric deformable model for segmentation of macular OCT"''' appears in {{iacl-pub bmoe}}. {{doi|10.1364/BOE.5.001062}} | ||
Revision as of 18:50, 28 March 2014
2014
March
- Jerry L. Prince's book Medical Imaging Signals and Systems 2/E is released.
- The video and presentation from Fangxu Xing's 2013 MICCAI talk, titled "3D Tongue Motion from Tagged and Cine MR Images", is now available.
- Aaron Carass' paper "Multiple-object geometric deformable model for segmentation of macular OCT" appears in Biomed. Opt. Express. (doi)
February
- IACL members presented papers for the Proceedings of SPIE Medical Imaging (SPIE-MI 2014), San Diego, CA, February 15-20, 2014.
- Andrew Lang presented "An adaptive grid for graph-based segmentation in macular cube OCT".
- Gunnar Sigurdsson presented "Smoothing fields of weighted collections with applications to diffusion MRI processing".
- Emily Swingle presented "Microcystic macular edema detection in retina OCT images".
- Snehashis Roy presented "MR to CT registration of brains using image synthesis" and "Example based lesion segmentation".
