Difference between revisions of "News/2025"

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* Congratulations to [[Savannah|Savannah Hays]] on winning a Best Poster Award at the ACTRIMS Young Scientist Conference 2025.
 
* Congratulations to [[Savannah|Savannah Hays]] on winning a Best Poster Award at the ACTRIMS Young Scientist Conference 2025.
  
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* IACL papers at the {{iacl-pub ismrm 2025}}
 
  
S. P. Hays, B. E. Dewey, S. W. Remedios, L. Zuo , J. Zhang, A. Carass, E. M. Mowry , S. D. Newsome, and J. L.
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* IACL papers at the {{iacl-pub ismrm2025}}
Prince, “Rescuing Incomplete MR Data: Anatomy Imputation of Restricted Field of View Images Using Multi-Contrast
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** [[Savannah|Savannah Hays]] had an oral presentation of her work titled '''"Rescuing Incomplete MR Data: Anatomy Imputation of Restricted Field of View Images Using Multi-Contrast MR Images"'''.
MR Images”, ISMRM & ISMRT Annual Meeting & Exhibition, May 10–15, 2025.
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** Dr. Jinwei Zhang remotely presented '''"Accelerating Multi-parametric MRI Sequences Using Learned Acquisition and Reconstruction Optimization (LARO):A Retrospective Study"''',
J. Zhang, H.-G. Shin, B. Dewey, S. W. Remedios, A. Carass, X. Li, P van Zijl, S. Saidha, P. Calabresi, and J. L. Prince,
 
“Accelerating Multi-parametric MRI Sequences Using Learned Acquisition and Reconstruction Optimization (LARO):
 
A Retrospective Study”, ISMRM & ISMRT Annual Meeting & Exhibition, May 10–15, 2025.
 
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Revision as of 15:34, 8 May 2025


2025

May

Savannah Hays presenting her award winning poster "The Importance of Super-Resolution and Harmonization in a Pragmatic Clinical MR Image Dataset" at the ACTRIMS Young Scientist Conference 2025.
  • Congratulations to Savannah Hays on winning a Best Poster Award at the ACTRIMS Young Scientist Conference 2025.


  • IACL papers at the 33rd Annual meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2025), Honolulu, Hawaiʻi, May 10–15, 2025.
    • Savannah Hays had an oral presentation of her work titled "Rescuing Incomplete MR Data: Anatomy Imputation of Restricted Field of View Images Using Multi-Contrast MR Images".
    • Dr. Jinwei Zhang remotely presented "Accelerating Multi-parametric MRI Sequences Using Learned Acquisition and Reconstruction Optimization (LARO):A Retrospective Study",


February

Carlos Rivas' award for best poster titled "Unique MS lesion identification from MRI" at the Proceedings of SPIE Medical Imaging (SPIE-MI 2025), San Diego, CA, February 16–20, 2025.
  • Congratulations to Carlos Rivas on winning a Best Poster Award at the Proceedings of SPIE Medical Imaging (SPIE-MI 2025), San Diego, CA, February 16–20, 2025.
  • IACL papers at the Proceedings of SPIE Medical Imaging (SPIE-MI 2025), San Diego, CA, February 16–20, 2025.
    • Carlos Rivas presented "Unique MS lesion identification from MRI".
    • Shimeng Wang presented "Longitudinal analysis of cerebellum volume changes in a multiple sclerosis cohort".
    • Dr. Jinwei Zhang presented "Bi-directional MS lesion filling and synthesis using denoising diffusion implicit model-based lesion repainting".
    • Xiaojian Chen's paper titled "Correlation ratio for unsupervised learning of multi-modal deformable registration", was presented by Dr. Jinwei Zhang.
  • Other accepted papers at SPIE-MI 2025 coming from collaborations with IACL.
    • Dr. Lianrui Zuo from Vanderbilt University, presented "Counterfactual brain amyloid pathology image synthesis".


IACL at SPIE-MI 2025
2025-SPIE-Rivas-Poster.jpg     2025-SPIE-Wang-Poster.jpg
Carlos Rivas presenting his award winning poster titled "Unique MS lesion identification from MRI".     Shimeng Wang presenting his poster "Longitudinal analysis of cerebellum volume changes in a multiple sclerosis cohort".
 
  2025-SPIE-Zhang-Oral.jpg  
  Dr. Jinwei Zhang presenting his SPIE-MI Deep Dive titled "Bi-directional MS lesion filling and synthesis using denoising diffusion implicit model-based lesion repainting".  
 
2025-SPIE-Group-01.jpg     2025-SPIE-Group-02.jpg
Prof. J.L. Prince with current lab members and special guests (Dr. Muhan Shao and Dr. Lianrui Zuo).     Prof. J.L. Prince with current lab members.
 





January

  • The latest version of our super-resolution software is now available with pip install eclare. The related publication is:
S.W. Remedios, S. Han, L. Zuo, A. Carass, D.L. Pham, J.L. Prince, and B.E. Dewey, "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" Self-Supervised Super-Resolution for Slice Gap MRI
  • Our paper titled "A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond" with Dr. Junyu Chen has appeared in Medical Image Analysis. DOI: " 10.1016/j.media.2024.103385" arXiv: " 2307.15615"