Difference between revisions of "News/2018"

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| align="center" colspan="2" | Muhan Shao presenting her talk titled '''"Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricles atlas"'''.
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| align="center" | [[Jeff|Jeffrey Glaister]] presenting his poster '''"Deformable model reconstruction of the subarachnoid space"'''.
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| align="center" |  Aniket Tolpadi presenting his talk '''"Inverse biomechanical modeling via machine learning and synthetic training data"'''.
 
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Revision as of 14:46, 6 March 2018


2018

February

  • IACL members present papers at the SPIE Medical Imaging (SPIE-MI 2018) meeting in Houston, TX, February 10 - 15, 2018.
    • Lianrui Zuo presented "Automatic outlier detection using hidden Markov model for cerebellar lobule segmentation".
    • Muhan Shao presented "Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricles atlas".
    • Jeffrey Glaister presented "Deformable model reconstruction of the subarachnoid space".
    • Xiaokai Wang presented "A novel filtering approach for 3D harmonic phase analysis of tagged MRI"
  • Other accepted papers at SPIE-MI 2018 coming from collaborations with IACL.
    • With Sachin Goyal from IIT Bombay presented "Improving Self Super Resolution in Magnetic Resonance Images".
    • With Aniket Tolpadi from Rice University "Inverse biomechanical modeling via machine learning and synthetic training data".
    • With Sureerat Reaungamornrat from Mahidol University "Inter-scanner Variation Independent Descriptors for Constrained Diffeomorphic Demons Registration of Retinal OCT".


IACL at SPIE 2018
2018 SPIE Muhan Presenting.jpg
Muhan Shao presenting her talk titled "Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricles atlas".
 
80014719-ed1s.jpg 80014768-ed1s.jpg
Jeffrey Glaister presenting his poster "Deformable model reconstruction of the subarachnoid space". Aniket Tolpadi presenting his talk "Inverse biomechanical modeling via machine learning and synthetic training data".


January

  • * Andrew Lang's paper "Intensity inhomogeneity correction of SD-OCT data using macular flatspace" appears in Medical Image Analysis.  (doi)  (PubMed)