Difference between revisions of "News/2024"
Jump to navigation
Jump to search
(Added Zhangxing Bian presenting at SPIE-MI 2024.) |
(Added some photos from SPIE.) |
||
| Line 16: | Line 16: | ||
* Other accepted papers at SPIE-MI 2024 coming from collaborations with IACL. | * Other accepted papers at SPIE-MI 2024 coming from collaborations with IACL. | ||
** Xiaofeng Liu from Massachusetts General Hospital, presented '''"Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI"'''. | ** Xiaofeng Liu from Massachusetts General Hospital, presented '''"Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI"'''. | ||
| + | |||
| + | |||
| + | |||
| + | {| align="center" style="width:90%; border:2px #e99095 solid; background:#ffffff; text-align:left;" | ||
| + | |- | ||
| + | | colspan="5" align="center" | '''IACL at SPIE-MI 2024''' | ||
| + | |- | ||
| + | | colspan="5" align="center" style="width:75%; border-spacing:10px; border:1px #e99095 solid; background: #e99095; text-align:center;" | | ||
| + | |- | ||
| + | | align="center" colspan="2" | [[File:2024-SPIE-Liu-Poster-crop.jpg|250px|link=https://iacl.ece.jhu.edu/images/d/dd/2024-SPIE-Liu-Poster.jpg]] | ||
| + | | align="center" colspan="1" | | ||
| + | | align="center" colspan="2" | [[File:2024-SPIE-Bian-Oral-crop.jpg|250px|link=https://iacl.ece.jhu.edu/images/a/a5/2024-SPIE-Bian-Oral-crop.jpg]] | ||
| + | |- | ||
| + | | align="center" colspan="2" | [[Yihao|Dr. Yihao Liu]] presenting Yuli Wang's work titled '''"Deep learning-based segmentation of hydrocephalus brain ventricle from ultrasound"'''. | ||
| + | | align="center" colspan="1" | | ||
| + | | align="center" colspan="2" | Zhangxing Bian presenting '''"Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?"'''. | ||
| + | |- | ||
| + | |} | ||
| + | |||
| + | |||
| + | |||
{{-}} | {{-}} | ||
Revision as of 03:19, 20 February 2024
2024
February
- Congratulations to Zhangxing Bian on winning a Best Paper Award at the Proceedings of SPIE Medical Imaging (SPIE-MI 2024), San Diego, CA, February 18–22, 2024.
- IACL papers at the Proceedings of SPIE Medical Imaging (SPIE-MI 2024), San Diego, CA, February 18–22, 2024.
- Zhangxing Bian presented "Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?".
- Savannah P. Hays presented "Revisiting registration-based synthesis: A focus on unsupervised MR image synthesis".
- Samuel Remedios presented "Pushing the limits of zero-shot self-supervised super-resolution of anisotropic MR Images" and "Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation".
- Dr. Yihao Liu presented "Deep learning-based segmentation of hydrocephalus brain ventricle from ultrasound".
- Zejun Wu presented "AniRes2D: Anisotropic residual-enhanced diffusion for 2D MR super-resolution".
- Junyi Liu "Exploratory magnetic resonance elastography synthesis from magnetic resonance and diffusion tensor imaging".
- Other accepted papers at SPIE-MI 2024 coming from collaborations with IACL.
- Xiaofeng Liu from Massachusetts General Hospital, presented "Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI".
| IACL at SPIE-MI 2024 | ||||
|
| |||
| Dr. Yihao Liu presenting Yuli Wang's work titled "Deep learning-based segmentation of hydrocephalus brain ventricle from ultrasound". | Zhangxing Bian presenting "Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?". | |||
| IACL at the Johns Hopkins School of Medicine and Whiting School of Engineering Research Retreat 2024 | ||||||
|
| |||||
|
| |||||
January
- Yihao Liu successfully defends his thesis titled "Methods for Automated Analysis of OCT and OCTA Images".
- Lianrui Zuo successfully defends his thesis titled "Unsupervised structural MRI harmonization by learning disentangled representations".
