Difference between revisions of "News/2024"

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(SPIE-MI 2024 presentations.)
(Added Zhangxing Bian presenting at SPIE-MI 2024.)
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[[File:2024-SPIE-Bian-Oral-2-crop.jpg|thumb|250px|link=https://iacl.ece.jhu.edu/images/f/fb/2024-SPIE-Bian-Oral-2.jpg|Zhangxing Bian presenting his award winning paper '''"Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?"''' at the {{iacl-pub spie2024}}]]
 
* Congratulations to Zhangxing Bian on winning a Best Paper Award at the {{iacl-pub spie2024}}
 
* Congratulations to Zhangxing Bian on winning a Best Paper Award at the {{iacl-pub spie2024}}
 
* IACL papers at the {{iacl-pub spie2024}}
 
* IACL papers at the {{iacl-pub spie2024}}
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* 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"'''.
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Revision as of 03:05, 20 February 2024


2024

February

Zhangxing Bian presenting his award winning paper "Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?" at the Proceedings of SPIE Medical Imaging (SPIE-MI 2024), San Diego, CA, February 18–22, 2024.
  • 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 the Johns Hopkins School of Medicine and Whiting School of Engineering Research Retreat 2024
2024-SoMRetreat-Remedios-Poster-crop.jpg 2024-SoMRetreat-Zuo-Poster-crop.jpg
 
2024-SoMRetreat-Group-retile.jpg 2024-SoMRetreat-Hays-Poster-crop.jpg


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".