Main Page

From IACL
Jump to navigation Jump to search



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

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 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 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, Canada, October 8–12, 2023.

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 26th 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.

IACL Lab members at CMSC 2023 in Aurora, Colorado.

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

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.

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.

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

Newly minted PhDs Drs. Blake Dewey and Yufan He flank Prof. J.L. Prince.

Newly minted PhDs Drs. Blake Dewey and Yufan He flank Prof. J.L. Prince.

IACL lab members at SPIE-MI 2022.

IACL lab members at SPIE-MI 2022.

Chenyu Gao presenting his poster about MR defacing at SPIE-MI 2022.

Chenyu Gao presenting his poster about MR defacing at SPIE-MI 2022.

Yihao Liu presenting a poster at SPIE-MI 2020.

Yihao Liu presenting a poster at SPIE-MI 2020.

Shuo Han presenting a poster at SPIE-MI 2020.

Shuo Han presenting a poster at SPIE-MI 2020.

Yufan He wins a MICCAI Young Scientist Award at MICCAI 2019.

Yufan He wins a MICCAI Young Scientist Award at MICCAI 2019.

Prof. Jerry L. Prince congratulating Jeffrey Glaister on his successful defense in October 2019.

Prof. Jerry L. Prince congratulating Jeffrey Glaister on his successful defense in October 2019.

Yihao Liu presenting a poster at ISBI 2019.

Yihao Liu presenting a poster at ISBI 2019.



Recent News Items


2024

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
2024-SPIE-Liu-Poster-crop.jpg   2024-SPIE-Bian-Oral-crop.jpg
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?".
 
2024-SPIE-Group-1-crop.jpg   2024-SPIE-Group-2-crop.jpg
Savannah P. Hays and Dr. Yihao Liu saying "Ayyy".   Samuel W. Remedios and Savannah P. Hays showing some SPIE pride.
 
2024-SPIE-Group-3-crop-25.png 2024-SPIE-Remedios-Poster-crop.jpg
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".
 
2024-SPIE-Liu-Poster-2-crop.jpg
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
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".




2023

November

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



October

Samuel Remedios wins best paper at the Simulation and Synthesis in Medical Imaging workshop (SASHIMI 2023).
  • IACL papers at the 26th 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", 10th Ophthalmic Medical Image Analysis Workshop (OMIA 2023) in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, Canada, October 8–12, 2023. (doi) Recurrent Self Fusion: Iterative Denoising for Consistent Retinal OCT Segmentation
    • Samuel W. Remedios presented "Self-Supervised Super-Resolution for Slice Gap MRI", Simulation and Synthesis in Medical Imaging (SASHIMI 2023) in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, Canada, October 8–12, 2023. (doi) Self-Supervised Super-Resolution for Slice Gap MRI
    • 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 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, Canada, October 8–12, 2023. arXiv:2308.02949 "MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction"


  • 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) arXiv:2212.06065 "HACA3: A unified approach for multi-site MR image harmonization"





See all our old News