View source for News/2014

{{h2|2014}}
__NOTOC__
{{h3|December}}
* [[Chuyang|Chuyang Ye]] successfully defends his PhD thesis titled '''''"Fiber Tracking and Fiber Tract Segmentation Using Diffusion Tensor Imaging"'''''.
* [[Min|Min Chen]] successfully defends his PhD thesis titled '''''"Deformable Image Registration in the Analysis of Multiple Sclerosis"'''''.
* Details are made available about the [[MSChallenge|2015 Longitudinal Multiple Sclerosis Lesion Segmentation Challenge]] which will be held as part of the [http://biomedicalimaging.org/2015/ International Symposium on Biomedical Imaging]. The challenge will involve teams applying their automatic lesion segmentation algorithms to MR neuroimaging data acquired at multiple time points from patients with multiple sclerosis (MS).


{{h3|November}}
* Jerry L. Prince will be speaking at the University of Utah on Friday, November 14, 2014. The topic will be [https://www.bioen.utah.edu/seminars/presentation.php?id=517 "Medical Image Synthesis Methods and Applications"]. 
* [[Image:GovHoganAtTEDCONov2014.jpg|right|thumb|200px |Despite having no prior ultrasound experience, Maryland Governor Larry Hogan uses the EchoFind software guidance to successfully navigate the EchoMark in a test phantom.]] The EchoSure team was invited as a featured presenter and exhibitor at TEDCO's 4th annual Maryland Entrepreneur Expo (http://expo.tedco.md/). Conference participants -- including newly elected Maryland Gov. Larry Hogan -- had the opportunity to try the live EchoFind software demo themselves. Even first-time ultrasound users were able to accurately navigate the test phantom and the team received tremendous positive feedback on their successful demonstration.


{{h3|October}}
[[Image:Prince_and_Woo_(last_day)_25.jpg|right|thumb|{{iacl|~jonghye|Jonghye Woo}} on his last day in the IACL Lab with the labs director [[Prince|Jerry L. Prince]].]]
* The IACL Lab in association with collaborators at the Henry M. Jackson Foundation, the Max Plank Institute, and the University of Iceland will be organizing the '''[http://biomedicalimaging.org/2015/program/isbi-challenges/ Longitudinal Multiple Sclerosis Lesion Segmentation Challenge]''' as part of the {{iacl-pub isbi2015}}
* {{iacl|~jonghye|Jonghye Woo}} has his last day in the IACL Lab.


{{h3|September}}
* {{iacl|~jonghye|Jonghye Woo}} presented ''"[[Determining Functional Units of Tongue Motion via Graph-regularized Sparse Non-negative Matrix Factorization]]"''' at MICCAI 2014. {{doi|10.1007/978-3-319-10470-6_19}}
* Joshua V. Stough presented his collaboration with IACL '''"[[Automatic method for thalamus parcellation using multi-modal feature classification]]"''' at MICCAI 2014. {{doi|10.1007/978-3-319-10443-0_22}}
* [[Zhen|Zhen Yang]] presented '''"[[Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression]]"''' in the Machine Learning in Medical Imaging workshop at MICCAI 2014. {{doi|10.1007/978-3-319-10581-9_9}}
* {{iacl|~roy/|Snehashis Roy}} presented '''"Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation"''' in the Machine Learning in Medical Imaging workshop at MICCAI 2014. {{doi|10.1007/978-3-319-10581-9_31}}
* [[Murat|Murat Bilgel]] presented '''"[[Deformation field correction for spatial normalization of PET images using a population-derived partial least squares model|Deformation Field Correction for Spatial Normalization of PET Images Using a Population-Derived Partial Least Squares Model]]"''' in the Machine Learning in Medical Imaging workshop at MICCAI 2014. {{doi|10.1007/978-3-319-10581-9_25}}
* [[Chuyang|Chuyang Ye]] presented '''"[[A Bayesian Approach to Distinguishing Interdigitated Muscles in the Tongue from Limited Diffusion Weighted Imaging]]"''' as part of the BAMBI Workshop at MICCAI 2014. {{doi|10.1007/978-3-319-12289-2_2}}


{{h3|August}}
* [http://www.octnews.org/articles/5513084/johns-hopkins-university-receives-a-2014-nih-grant/ IACL receives a 2014 NIH Grant for Segmentation and Registration of Macular SD-OCT with applications to Multiple Sclerosis].


{{h3|June}}
[[Image:Prince_Calabresi.jpg|right|thumb|[[Prince|Jerry L. Prince]] and Peter A. Calabresi from an article in JHU Engineering.]]
* [http://engineering.jhu.edu/magazine/2014/05/eyes/ JHU Engineering magazine article] describing our research understanding multiple sclerosis using optical coherence tomography:
** [[Retinal layer segmentation of macular OCT images]]
** [[MGDM segmentation of macular OCT images]]
** [[Analysis of macular OCT images using deformable registration]]
* Min Chen's paper '''"Analysis of macular OCT images using deformable registration"''' appears in {{iacl-pub bmoe}}. {{doi|10.1364/BOE.5.002196}}


{{-}}
{{h3|April}}
[[Image:Amod_Jog_ISBI2014.jpg|right|thumb|250px|Amod Jog at ISBI 2014 in Beijing.]]
* [[Amod|Amod Jog]] presents two talks at the {{iacl-pub isbi2014}}
** '''Random Forest FLAIR reconstruction from T1, T2, and PD-weighted MRI'''
** '''Improving Magnetic Resonance Resolution with Supervised Learning'''


{{h3|March}}
* [[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].
* Aaron Carass' paper '''"Multiple-object geometric deformable model for segmentation of macular OCT"''' appears in {{iacl-pub bmoe}}. {{doi|10.1364/BOE.5.001062}}


{{h3|February}}
* IACL members presented papers for the {{iacl-pub spie2014}}
** [[Andrew|Andrew Lang]] presented '''"An adaptive grid for graph-based segmentation in macular cube OCT"'''.
** [[Gunnar|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"'''.