Difference between revisions of "News/2021"
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| + | * [[Lianrui|Lianrui Zuo's]] paper titled '''"Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory"''' appears in {{iacl-pub ni}}. {{doi|10.1016/j.neuroimage.2021.118569}} | ||
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| + | {{h3|August}} | ||
| + | * [[Yufan|Yufan He]] successfully defends his thesis titled '''"Retinal OCT Image Analysis Using Deep Learning"'''. {{YouTube|17qM2XPeyPk|Retinal OCT Image Analysis Using Deep Learning}} | ||
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{{h3|July}} | {{h3|July}} | ||
* A paper on our Brain Biomechanics project titled '''"MR imaging of human brain mechanics in vivo: new measurements to facilitate the development of computational models of brain injury"''' appears in {{iacl-pub abe}}. {{doi|10.1007/s10439-021-02820-0}} | * A paper on our Brain Biomechanics project titled '''"MR imaging of human brain mechanics in vivo: new measurements to facilitate the development of computational models of brain injury"''' appears in {{iacl-pub abe}}. {{doi|10.1007/s10439-021-02820-0}} | ||
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{{h3|June}} | {{h3|June}} | ||
| − | * Yufan He's paper titled '''"Autoencoder Based Self-Supervised Test-Time Adaptation for Medical Image Analysis"''' appears in {{iacl-pub mia}}. {{doi|10.1016/j.media.2021.102136}} | + | * [[Yufan|Yufan He's]] paper titled '''"Autoencoder Based Self-Supervised Test-Time Adaptation for Medical Image Analysis"''' appears in {{iacl-pub mia}}. {{doi|10.1016/j.media.2021.102136}} |
* Congratulations to [[Lianrui|Lianrui Zuo]] on winning the Best Poster Award at the {{iacl-pub ipmi2021}} | * Congratulations to [[Lianrui|Lianrui Zuo]] on winning the Best Poster Award at the {{iacl-pub ipmi2021}} | ||
* IACL papers at the {{iacl-pub ipmi2021}} | * IACL papers at the {{iacl-pub ipmi2021}} | ||
Revision as of 15:45, 14 September 2021
2021
September
- Lianrui Zuo's paper titled "Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory" appears in NeuroImage. (doi)
August
- Yufan He successfully defends his thesis titled "Retinal OCT Image Analysis Using Deep Learning".
July
- A paper on our Brain Biomechanics project titled "MR imaging of human brain mechanics in vivo: new measurements to facilitate the development of computational models of brain injury" appears in Annals of Biomedical Engineering. (doi)
June
- Yufan He's paper titled "Autoencoder Based Self-Supervised Test-Time Adaptation for Medical Image Analysis" appears in Medical Image Analysis. (doi)
- Congratulations to Lianrui Zuo on winning the Best Poster Award at the 27th Conference on Information Processing in Medical Imaging (IPMI 2021), Virtually in Bornholm, Denmark, June 28 - July 2, 2021.
- IACL papers at the 27th Conference on Information Processing in Medical Imaging (IPMI 2021), Virtually in Bornholm, Denmark, June 28 - July 2, 2021.
- Lianrui Zuo presents his poster teaser for "Information-based Disentangled Representation Learning for Unsupervised MR Harmonization".
- Shuo Han presents his poster teaser for "MR Slice Profile Estimation by Learning to Match Internal Patch Distributions".
- Lianrui Zuo presents his poster teaser for "Information-based Disentangled Representation Learning for Unsupervised MR Harmonization".
April
- IACL papers at the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France, April 13-16, 2021.
- Shuo Han presented "Slice profile estimation from 2D MRI acquisition using generative adversarial networks".
- Our collaborator, Xiaofeng Liu at Massachusetts General Hospital, presented "Dual-Cycle constrained bijective VAE-GAN for Tagged-to-Cine magnetic resonance image synthesis".
- Shuo Han presented "Slice profile estimation from 2D MRI acquisition using generative adversarial networks".
March
- Can Zhao's paper titled "SMORE: A Self-supervised Anti-aliasing and Super-resolution Algorithm for MRI Using Deep Learning" appears in IEEE Trans. on Medical Imaging. (doi)
- The related software can be downloaded from our page about SMORE.
February
- IACL members papers from the Proceedings of SPIE Medical Imaging (SPIE-MI 2021), San Diego, CA, February 14–18, 2021.
- ShangXian Wang presented "Thalamus Segmentation Using Convolutional Neural Network". (doi)
- Mallika Singh presented "Accurate Estimation of Total Intracranial Volume in MRI using a Multi-tasked Image-to-Image Translation Network". (doi)
- Di Liu presented "Label super resolution for 3D Magnetic Resonance Images using Deformable U-net". (doi)
- Muhan Shao presented "Reconstruction and refinement of crossing muscle fibers in the human tongue". (doi)
- Muhan Shao presented "Dynamic palatogram generation from Cine MRI for normalized speech assessment". (doi)
- ShangXian Wang presented "Thalamus Segmentation Using Convolutional Neural Network". (doi)
January
- Jerry L. Prince presented the Medical Imaging keynote at NeurIPS "New Approaches for Magnetic Resonance Image Harmonization", the video is now on YouTube .
