News/2018

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2018

April

  • IACL members present papers at the International Symposium on Biomedical Imaging (ISBI 2018) meeting in Washington, DC, April 4 - 7, 2018.
    • Can Zhao presented "Self Super-Resolution for Magnetic Resonance Images Using Deep Networks".
    • Yihao Liu presented "Multi-Layer Fast Level Set Segmentation for Macular OCT".


IACL at ISBI 2018
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Can Zhao presenting her poster titled "Self Super-Resolution for Magnetic Resonance Images Using Deep Networks".   Yihao Liu presenting his poster titled "Multi-Layer Fast Level Set Segmentation for Macular OCT".
 


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".
 
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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)