View source for News/2018

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{{h2|2018}}
__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!!'''


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{{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}}
* 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"'''.
** [[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"'''
* 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"'''.


{| align="center" style="width:90%; border:2px #e99095 solid; background:#ffffff; text-align:left;"
|-
| colspan="5" align="center" | '''IACL at SPIE 2018'''
|-
| 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"'''.
|-
|}


{{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}}