Difference between revisions of "News/2024"
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| align="center" colspan="2" | [https://sremedios.github.io Samuel W. Remedios] and [[Savannah|Savannah P. Hays]] showing some SPIE pride. | | align="center" colspan="2" | [https://sremedios.github.io Samuel W. Remedios] and [[Savannah|Savannah P. Hays]] showing some SPIE pride. | ||
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| + | | align="center" colspan="5" | | ||
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| + | | align="center" colspan="2" | [[File:2024-SPIE-Group-3-crop-25.png|250px|link=https://iacl.ece.jhu.edu/images/1/1d/2024-SPIE-Group-3-crop.png]] | ||
| + | | align="center" colspan="1" | | ||
| + | | align="center" colspan="2" | [[File:2024-SPIE-Remedios-Poster-crop.jpg|250px|https://iacl.ece.jhu.edu/images/d/dc/2024-SPIE-Remedios-Poster.jpg]] | ||
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| + | | align="center" colspan="2" | IACL Lab members (new and old) at SPIE-MI 2024. | ||
| + | | align="center" colspan="1" | | ||
| + | | align="center" colspan="2" | [https://sremedios.github.io Samuel W. Remedios] presenting '''"Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation"'''. | ||
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Revision as of 19:47, 26 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 | ||||
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| 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?". | |||
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| Savannah P. Hays and Dr. Yihao Liu saying "Ayyy". | Samuel W. Remedios and Savannah P. Hays showing some SPIE pride. | |||
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| IACL Lab members (new and old) at SPIE-MI 2024. | Samuel W. Remedios presenting "Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation". | |||
| IACL at the Johns Hopkins School of Medicine and Whiting School of Engineering Research Retreat 2024 | ||||||
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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".
