News/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 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?".
Savannah P. Hays and Dr. Yihao Liu saying "Ayyy".			Samuel W. Remedios and Savannah P. Hays showing some SPIE pride.

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".