Difference between revisions of "News/2019"
Jump to navigation
Jump to search
(Correction.) |
(Moved forward the marker of 'recent'.) |
||
Line 11: | Line 11: | ||
[[File:2019-Pumpkin-Winner.jpg|thumb|250px|link=http://iacl.ece.jhu.edu/images/4/43/2019-Pumpkin-Winner.jpg|IACL wins the 2019 ECE Pumpkin Carving Contest!!]] | [[File:2019-Pumpkin-Winner.jpg|thumb|250px|link=http://iacl.ece.jhu.edu/images/4/43/2019-Pumpkin-Winner.jpg|IACL wins the 2019 ECE Pumpkin Carving Contest!!]] | ||
* '''IACL members win the 2019 ECE Pumpkin Carving Contest!!'''<br />This is our second consecutive Pumpkin Carving Contest win, and our third win in five years. | * '''IACL members win the 2019 ECE Pumpkin Carving Contest!!'''<br />This is our second consecutive Pumpkin Carving Contest win, and our third win in five years. | ||
+ | |||
+ | |||
+ | <section end=recent /> | ||
Line 38: | Line 41: | ||
[[File:2019-Defense-Glaister.jpg|thumb|250px|Jeffrey Glaister celebrating the defense of his PhD titled '''"Brain structure segmentation using multiple MRI pulse sequences"''', pictured with Dr. [[Prince|Jerry L. Prince]].]] | [[File:2019-Defense-Glaister.jpg|thumb|250px|Jeffrey Glaister celebrating the defense of his PhD titled '''"Brain structure segmentation using multiple MRI pulse sequences"''', pictured with Dr. [[Prince|Jerry L. Prince]].]] | ||
* Dr. Jeffrey Glaister successfully defends his thesis titled '''"Brain structure segmentation using multiple MRI pulse sequences"'''. | * Dr. Jeffrey Glaister successfully defends his thesis titled '''"Brain structure segmentation using multiple MRI pulse sequences"'''. | ||
− | |||
− | |||
− | |||
Revision as of 02:19, 10 September 2020
2019
December
- Can Zhao's paper titled "Applications of a deep learning method for anti-aliasing and super-resolution in MRI" appears in Magnetic Resonance in Medicine (doi) (PubMed)
- Blake Dewey's paper titled "DeepHarmony: A deep learning approach to contrast harmonization across scanner changes" also appears in the same special issue of Magnetic Resonance in Medicine (doi) (PubMed)
November
- IACL members win the 2019 ECE Pumpkin Carving Contest!!
This is our second consecutive Pumpkin Carving Contest win, and our third win in five years.
October
IACL at MICCAI 2019 | ||||
|
- Can Zhao wins best paper at the SASHIMI Workshop at MICCAI 2019, for her paper titled "iSMORE: An iterative self super-resolution algorithm".
- Yufan He wins a MICCAI Young Scientist Award at MICCAI 2019.
- IACL members present papers at the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen, China, October 13 - 17, 2019.
- Dr. Jeffrey Glaister successfully defends his thesis titled "Brain structure segmentation using multiple MRI pulse sequences".
April
- IACL activity at ISBI 2019:
- The IACL team finishes second at the CHAOS Challenge at ISBI 2019. We competed in Tasks 3 and 5 as team mountain. See the leaderboard for complete results.
- Yihao Liu presented "Projection Artifact Suppression for Inner Retina in OCT Angiography".
- Shuo Han presented "A resolution measurement algorithm for MRI".
March
- Yihao Liu's paper titled "Layer boundary evolution method for macular OCT layer segmentation" appears in Biomedical Optics Express. (doi) (PubMed) (PMCID 6420297)
February
- IACL members present papers at the SPIE Medical Imaging (SPIE-MI 2019) meeting in San Diego, CA, February 15 - 20, 2019.
- Shuo Han presented "Cerebellum parcellation with convolutional neural networks".
- Lianrui Zuo presented "Automatic Quality Control Using Hierarchical Shape Analysis".
- Jacob Reinhold presented "Evaluating the impact of intensity normalization on MR Image Synthesis".
- Yufan He's paper "Retinal layer parcellation of optical coherence tomography images: Data resource for Multiple Sclerosis and Healthy Controls"' appears in Data in Brief. (doi) (PubMed) (PMCID 6327073)
January
- The paper "Dual Level-Set Framework for 3D Coronary Artery Wall Segmentation from Coronary CT Angiography" appears in the journal Nature Scientific Reports. (doi)