News/2024

2024

March

NeuroImage special issue on Advances in Harmonization Techniques for Magnetic Resonance Imaging is open for submissions through September 1, 2024.

NeuroImage special issue on Advances in Harmonization Techniques for Magnetic Resonance Imaging is open for submissions through September 1, 2024. The guest editors are:

• Aaron Carass, Johns Hopkins University
• Lianrui Zuo, Vanderbilt University
• Yihao Liu, Johns Hopkins University
• Jerry Prince, Johns Hopkins University
• Neda Jahanshad, University of Southern California

We welcome submissions of original research articles and comprehensive review papers focusing on, but not limited to, the following topics:

1. Advanced approaches for MRI harmonization, which may include:
   • Hybrid methods that combine different approaches
   • Image synthesis methods
   • Statistical methods
2. Detailed evaluations of existing harmonization approaches in various neuroimage analysis tasks. Exploring strengths, limitations, and potential pitfalls of the existing methods.
3. In-depth investigations of the applicability and effectiveness of harmonization methods across different MRI modalities, including:
   • Structural MRI
   • Diffusion MRI, such as diffusion tensor imagimg (DTI), high angular resolution diffusion imaging (HARDI), and diffusion kurtosis imaging (DKI)
   • Functional MR

February

Zhangxing Bian's award for best paper titled "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 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".
Junyi Liu presenting her poster titled "Exploratory magnetic resonance elastography synthesis from magnetic resonance and diffusion tensor imaging".

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".