Difference between revisions of "News/2018"

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{{-}}
<section begin=recent />
 
 
{{h2|2018}}
 
{{h2|2018}}
 
__NOTOC__
 
__NOTOC__
 +
{{h3|December}}
 +
* The paper {{title|Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance imaging}} appears in {{iacl-pub ni}}. {{doi|10.1016/j.neuroimage.2018.08.003}} {{PubMed|30099076}}
 +
* The paper {{title|Why rankings of biomedical image analysis competitions should be interpreted with care}} appears in the journal ''Nature Communications''. {{doi|10.1038/s41467-018-07619-7}} {{PubMed|30523263}} {{PMCid|6284017}}
 +
 +
 +
{{h3|November}}
 +
[[File:2018-Pumpkin.jpg|thumb|250px|link=http://iacl.ece.jhu.edu/images/5/59/2018-Pumpkin.jpg|IACL wins the 2018 ECE Pumpkin Carving Contest!!]]
 +
* '''IACL members win the 2018 ECE Pumpkin Carving Contest!!'''
 +
 +
 +
{{-}}
 +
{{h3|September}}
 +
[[File:Mmexport1537542767948.jpg|thumb|250px|Can Zhao presenting her work titled '''"A Deep Learning based Anti-aliasing Self Super-resolution Algorithm for Magnetic Resonance Imaging"''' to Dr. Michael Guttman at MICCAI 2018. Dr. Guttman was the first graduate student to ever work in IACL.]]
 +
* IACL members present papers at the {{iacl-pub miccai2018}}
 +
** Dr. A.D. Gomez presented '''"Quantifying Tensor Field Similarity With Global Distributions and Optimal Transport"'''.
 +
** Can Zhao presented '''"A Deep Learning based Anti-aliasing Self Super-resolution Algorithm for Magnetic Resonance Imaging"'''.
 +
* We also had presentations at several MICCAI workshops.
 +
** Dr. A.D. Gomez presented '''"Quantitative validation of MRI-based motion estimation for brain impact biomechanics"''' at {{pub|when=Computational Biomechanics for Medicine (CBM XIII)}}
 +
**At {{pub|when=Simulation and Synthesis in Medical Imaging (SASHIMI&nbsp;2018)|period=}}, Blake Dewey presented '''"Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation"'''  and Yuta Hiasa presented '''"Crossmodality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size"'''.
 +
**Dr. J.L. Prince presented '''"Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks"''' at the {{pub|when=Deep Learning Fails Workshop|period=}} and also '''"Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN"''' at the {{pub|when=4<sup>th</sup>&nbsp;Workshop on Deep Learning in Medical Image Analysis (DLMIA&nbsp;2018)}}
 +
** In collaboration with Univ. of Pennsylvania, [https://scholar.google.com/citations?user=dR1GYwUAAAAJ&hl=en Dr. Min Chen] presented '''"2D Modeling and Correction of Fan-beam Scan Geometry in OCT"''' at {{pub|when=5<sup>th</sup>&nbsp;Workshop on Ophthalmic Medical Image Analysis (MW-OMIA5)}} Dr.&nbsp;Chen also won the '''Best Poster''' prize at MW-OMIA5.
 +
 +
 +
{{h3|August}}
 +
* The paper {{title|Preoperative mapping of the supplementary motor area in brain tumor patients using resting-state fMRI with seed based analysis}} appears in the ''American Journal of Neuroradiology''. {{doi|10.3174/ajnr.A5709}} {{PubMed|30002054}}
 +
 +
 +
{{h3|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"'''.
 +
 +
 +
{| align="center" style="width:90%; border:2px #e99095 solid; background:#ffffff; text-align:left;"
 +
|-
 +
| colspan="5" align="center" | '''IACL at ISBI 2018'''
 +
|-
 +
| align="center" colspan="2" | [[File:IMG 20180405 124428023.jpg|250px]]
 +
| &nbsp;
 +
| align="center" colspan="2" | [[File:2018-ISBI-Liu.jpg|250px]]
 +
|-
 +
| align="center" colspan="2" | Can Zhao presenting her poster titled '''"Self Super-Resolution for Magnetic Resonance Images Using Deep Networks"'''.
 +
| &nbsp;
 +
| align="center" colspan="2" | Yihao Liu presenting his poster titled '''"Multi-Layer Fast Level Set Segmentation for Macular OCT"'''.
 +
|-
 +
| &nbsp;
 +
|-
 +
|}
 +
 +
 
{{h3|February}}
 
{{h3|February}}
* IACL members present papers at the SPIE Medical Imaging (SPIE-MI 2018) meeting in Houston, TX, February 10 - 15 2018.
+
* 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"'''.
 
** 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"'''.
 
** Muhan Shao presented '''"Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricles atlas"'''.
 
** [[Jeff|Jeffrey Glaister]] presented '''"Deformable model reconstruction of the subarachnoid space"'''.
 
** [[Jeff|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"'''
+
** 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.
 
* 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 Sachin Goyal from IIT Bombay presented '''"Improving Self Super Resolution in Magnetic Resonance Images"'''.
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| colspan="5" align="center" | '''IACL at SPIE 2018'''
 
| colspan="5" align="center" | '''IACL at SPIE 2018'''
 
|-
 
|-
| align="center" | [[File:2018 SPIE Muhan Presenting.jpg|500px]]
+
| align="center" colspan="2" | [[File:2018 SPIE Muhan Presenting.jpg|500px]]
 +
|-
 +
| align="center" colspan="2" | Muhan Shao presenting her talk titled '''"Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricles atlas"'''.
 +
|-
 +
| &nbsp;
 +
|-
 +
| align="center" | [[File:80014719-ed1s.jpg|250px]]
 +
| align="center" | [[File:80014768-ed1s.jpg|250px]]
 +
|-
 +
| align="center" | [[Jeff|Jeffrey Glaister]] presenting his poster '''"Deformable model reconstruction of the subarachnoid space"'''.
 +
| align="center" |  Aniket Tolpadi presenting his talk '''"Inverse biomechanical modeling via machine learning and synthetic training data"'''.
 
|-
 
|-
 
|}
 
|}
  
  
<section end=recent />
+
{{h3|January}}
 +
* [[Andrew|Andrew Lang's]] paper {{title|Intensity inhomogeneity correction of SD-OCT data using macular flatspace}} appears in {{iacl-pub mia}}. {{doi|10.1016/j.media.2017.09.008}} {{PubMed|29040910}}

Latest revision as of 21:18, 20 February 2020


2018

December

  • The paper "Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance imaging" appears in NeuroImage.  (doi)  (PubMed)
  • The paper "Why rankings of biomedical image analysis competitions should be interpreted with care" appears in the journal Nature Communications.  (doi)  (PubMed)  (PMCID 6284017)


November

IACL wins the 2018 ECE Pumpkin Carving Contest!!
  • IACL members win the 2018 ECE Pumpkin Carving Contest!!



September

Can Zhao presenting her work titled "A Deep Learning based Anti-aliasing Self Super-resolution Algorithm for Magnetic Resonance Imaging" to Dr. Michael Guttman at MICCAI 2018. Dr. Guttman was the first graduate student to ever work in IACL.
  • IACL members present papers at the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain, September 16 - 20, 2018.
    • Dr. A.D. Gomez presented "Quantifying Tensor Field Similarity With Global Distributions and Optimal Transport".
    • Can Zhao presented "A Deep Learning based Anti-aliasing Self Super-resolution Algorithm for Magnetic Resonance Imaging".
  • We also had presentations at several MICCAI workshops.
    • Dr. A.D. Gomez presented "Quantitative validation of MRI-based motion estimation for brain impact biomechanics" at Computational Biomechanics for Medicine (CBM XIII).
    • At Simulation and Synthesis in Medical Imaging (SASHIMI 2018), Blake Dewey presented "Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation" and Yuta Hiasa presented "Crossmodality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size".
    • Dr. J.L. Prince presented "Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks" at the Deep Learning Fails Workshop and also "Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN" at the 4th Workshop on Deep Learning in Medical Image Analysis (DLMIA 2018).
    • In collaboration with Univ. of Pennsylvania, Dr. Min Chen presented "2D Modeling and Correction of Fan-beam Scan Geometry in OCT" at 5th Workshop on Ophthalmic Medical Image Analysis (MW-OMIA5). Dr. Chen also won the Best Poster prize at MW-OMIA5.


August

  • The paper "Preoperative mapping of the supplementary motor area in brain tumor patients using resting-state fMRI with seed based analysis" appears in the American Journal of Neuroradiology.  (doi)  (PubMed)


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
IMG 20180405 124428023.jpg   2018-ISBI-Liu.jpg
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".
 
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)