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Drs. Yihao Liu and Lianrui Zuo after their hooding by Prof. J.L. Prince.

IACL at the ACTRIMS Young Scientist Meeting. From left to right, Dr. Blake Dewey, Dr. Jinwei Zhang, Savannah Hays, Dr. Shuwen Wei, & Shimeng Wang.

IACL Group Photo from the Proceedings of SPIE Medical Imaging (SPIE-MI 2024), San Diego, CA, February 18–22, 2024.

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.

Zhangxing Bian presenting "MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction" at the MICCAI Workshop on Time-Series Data Analytics and Learning (MTSAIL 2023) in conjunction with the 26^th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, Canada, October 8–12, 2023.

IACL Lab members at CMSC 2023 in Aurora, Colorado.

Dr. Muhan Shao being hooded by Prof. Jerry L. Prince.

Allen Hong giving a presentation capping off his REU Summer in IACL working with Dr. Ahmed Alshareef.

Lab members Lianrui Zuo and Yihao Liu with Dr. Yufan He after his graduation in May 2022.

2024

August

Carlos Rivas presenting his REU project titled Automatic unique identification of multiple sclerosis lesions from MR images.

• Carlos Rivas presented his REU project titled Automatic unique identification of multiple sclerosis lesions from MR images.

July

Meeting at the Henry Jackson Foundation for the team behind the Brain Biomechanics Imaging Resources on NITRC, made possible by the NIH through U01 NS112120 (PI: P.V. Bayly).

• Brain Biomechanics Imaging Resources (BBIR) now has over 150 datasets available for download.
  • 50 subjects from the Henry Jackson Foundation, imaged with tagged magnetic resonance.
  • 61 subjects from the University of Delaware, imaged with high resolution magnetic resonance elastography at multiple frequencies (30Hz, 50Hz, 70Hz).
  • 52 subjects from Washington University in St. Louis, imaged with magnetic resonance elastography at multiple frequencies (20Hz, 30Hz, 50Hz, 70Hz, 90Hz).
  • All data includes structural magnetic resonance images (T1-w, T2-w) and diffusion weighted images.
  • The structural images have been processed with SLANT-MACRUISE and the diffusion images with TORTOISE.
  • Site information and subject details can be found in the available BBIR documents.
  • Additional information is available in our related publications:
    • R.J. Okamoto et al., "Effect Of Direction And Frequency Of Skull Motion On Mechanical Vulnerability Of The Human Brain" in Journal of Biomechanical Engineering  (doi)
    • A. Alshareef et al., "Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Brain Models" in Brain Multiphysics  (doi)
    • P.V. Bayly et al., "MR imaging of human brain mechanics in vivo: New measurements to facilitate the development of computational models of brain injury" in Annals of Biomedical Engineering  (doi)

May

Drs. Yihao Liu and Lianrui Zuo celebrating their hooding by Prof. J.L. Prince.

• Congratulations to Yihao Liu and Lianrui Zuo on receiving their PhDs.
• Congratulations to Junyi Liu, Shimeng Wang, and Zejun Wu on receiving their masters. Junyi Liu will be pursuing her PhD at Ohio State, Shimeng Wang will be staying at Hopkins to join the PhD program, and Zejun Wu will be joining the PhD program at University of Virginia.

April

Savannah Hays as part of the latest Percy Pierre Doctoral Fellowship cohort who are inspired to follow in the footsteps of distinguished academic and engineer, Percy Pierre, Engr 1967 (PhD). Enjoy the YouTube Video.

• Savannah Hays as part of the latest Percy Pierre Doctoral Fellowship cohort who are inspired to follow in the footsteps of distinguished academic and engineer, Pierre Percy, Engr 1967 (PhD).

• Yihao Liu's paper titled "On Finite Difference Jacobian Computation in Deformable Image Registration" appears in International Journal of Computer Vision.  (doi)

March

NeuroImage Special Issue on Advances in Harmonization Techniques for Magnetic Resonance Imaging is open for submissions through December 31, 2024.

NeuroImage Special Issue on Advances in Harmonization Techniques for Magnetic Resonance Imaging is open for submissions through December 31, 2024. The guest editors are:

• Aaron Carass, Johns Hopkins University
• Lianrui Zuo, Vanderbilt University
• Yihao Liu, Vanderbilt 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".

2023

November

"Deep Learning for Medical Image Analysis" 2^nd edition is available for pre-order before its release in December 2023.

• "Deep Learning for Medical Image Analysis" 2^nd edition is available for pre-order before its release in December 2023. It features two chapters from IACL Lab Members.
  • Lianrui Zuo is the lead author of Chapter 5 titled "An overview of disentangled representation learning for MR images".  (doi)
  • Yihao Liu is the lead author of Chapter 16 titled "OCTA Segmentation with limited training data using disentangled representation learning".  (doi)
• The book is available direct from Elsevier, as well as from Amazon.

• Chenyu Gao at Vanderbilt has co-authored a paper with us titled "Reproducibility evaluation of the effects of MRI defacing on brain segmentation" that has appeared in the Journal of Medical Imaging.  (doi)

IACL Lab members attending the ACTRIMS Young Scientist Summit in Clinical Neuroimmunology in Scottsdale, AZ.

• IACL group members attending the Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS) Young Scientist Summit in Clinical Neuroimmunology from October 30 thru November 2 in Scottsdale, Arizona, include:
  • Savannah Hays     
  • Yihao Liu    
  • Samuel W. Remedios
  • Lianrui Zuo     

October

Samuel Remedios wins best paper at the Simulation and Synthesis in Medical Imaging workshop (SASHIMI 2023).

• IACL papers at the 26^th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, Canada, October 8–12, 2023.
  • Dr. Shuwen Wei presented "Recurrent Self Fusion: Iterative Denoising for Consistent Retinal OCT Segmentation", 10^th Ophthalmic Medical Image Analysis Workshop (OMIA 2023) in conjunction with the 26^th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, Canada, October 8–12, 2023. (doi) 
  • Samuel W. Remedios presented "Self-Supervised Super-Resolution for Slice Gap MRI", Simulation and Synthesis in Medical Imaging (SASHIMI 2023) in conjunction with the 26^th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, Canada, October 8–12, 2023. (doi) 
  • Zhangxing Bian presented "MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction", MICCAI Workshop on Time-Series Data Analytics and Learning (MTSAIL 2023) in conjunction with the 26^th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, Canada, October 8–12, 2023. 

• HACA3 Code for MR Harmonization is available. The method is described in:

L. Zuo, Y. Liu, Y. Xue, B.E. Dewey, S.W. Remedios, S.P. Hays, M. Bilgel, E.M. Mowry, S.D. Newsome, P.A. Calabresi, S.M. Resnick, J.L. Prince, and A. Carass, "HACA3: A unified approach for multi-site MR image harmonization", Computerized Medical Imaging and Graphics, 109:102285, 2023. (doi) 

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