Difference between revisions of "News/2023"

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** Dr. Yuan Xue presented '''"Unsupervised quality assurance for brain MR Image rigid registration using latent shape representation"'''.
 
** Dr. Yuan Xue presented '''"Unsupervised quality assurance for brain MR Image rigid registration using latent shape representation"'''.
 
** Jinglun Yu presented '''"New starting point registration method for tagged MRI tongue motion estimation"'''.
 
** Jinglun Yu presented '''"New starting point registration method for tagged MRI tongue motion estimation"'''.
** Lianrui Zuo presented Pouria Tohidi's work titled '''"Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation"'''.
+
** [[Lianrui|Lianrui Zuo]] presented Pouria Tohidi's work titled '''"Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation"'''.
** Yuli Wang presented '''"Investigation of probability maps in deep-learning-based brain ventricle parcellation"'''.
+
** [https://yuliwanghust.github.io/ Yuli Wang] presented '''"Investigation of probability maps in deep-learning-based brain ventricle parcellation"'''.
 
** Dr. Yuan Xue presented Chang Yan's work titled '''"Segmenting thalamic nuclei from manifold projections of multi-contrast MRI"'''.
 
** Dr. Yuan Xue presented Chang Yan's work titled '''"Segmenting thalamic nuclei from manifold projections of multi-contrast MRI"'''.
** Samuel Remedios presented '''"A deep generative prior for high-resolution isotropic MR head slices"'''.
+
** [https://sremedios.github.io/ Samuel Remedios] presented '''"A deep generative prior for high-resolution isotropic MR head slices"'''.
 
** Zhangxing Bian presented '''"FabCod: fast brain connectivity in diffusion imaging"'''.
 
** Zhangxing Bian presented '''"FabCod: fast brain connectivity in diffusion imaging"'''.
 
** Zhangxing Bian presented '''"DrCodd: deep registration for correcting distortion of diffusion MRI with single phase-encoding scan"'''.
 
** Zhangxing Bian presented '''"DrCodd: deep registration for correcting distortion of diffusion MRI with single phase-encoding scan"'''.
** Lianrui Zuo presented '''"A latent space for unsupervised MR image quality control via artifact assessment"'''.
+
** [[Lianrui|Lianrui Zuo]] presented '''"A latent space for unsupervised MR image quality control via artifact assessment"'''.
  
 
* Other accepted papers at SPIE-MI 2023 coming from collaborations with IACL.
 
* Other accepted papers at SPIE-MI 2023 coming from collaborations with IACL.
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| align="center" colspan="2"| [[File:2023-SPIE-Zuo-Poster.jpg|500px|link=https://iacl.ece.jhu.edu/images/2/25/2023-SPIE-Zuo-Poster.jpg]]
 
| align="center" colspan="2"| [[File:2023-SPIE-Zuo-Poster.jpg|500px|link=https://iacl.ece.jhu.edu/images/2/25/2023-SPIE-Zuo-Poster.jpg]]
 
|-
 
|-
| align="center" colspan="2" | Lianrui Zuo presented Pouria Tohidi's work titled '''"Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation"'''.
+
| align="center" colspan="2" | [[Lianrui|Lianrui Zuo]] presented Pouria Tohidi's work titled '''"Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation"'''.
 
|-
 
|-
 
|}
 
|}

Revision as of 21:12, 22 February 2023


2023

February

  • Congratulations to Zhangxing Bian on winning a Best Paper Award at the Proceedings of SPIE Medical Imaging (SPIE-MI 2023), San Diego, CA, February 19–23, 2023.
  • IACL papers at the Proceedings of SPIE Medical Imaging (SPIE-MI 2023), San Diego, CA, February 19–23, 2023.
    • Dr. Yuan Xue presented "Unsupervised quality assurance for brain MR Image rigid registration using latent shape representation".
    • Jinglun Yu presented "New starting point registration method for tagged MRI tongue motion estimation".
    • Lianrui Zuo presented Pouria Tohidi's work titled "Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation".
    • Yuli Wang presented "Investigation of probability maps in deep-learning-based brain ventricle parcellation".
    • Dr. Yuan Xue presented Chang Yan's work titled "Segmenting thalamic nuclei from manifold projections of multi-contrast MRI".
    • Samuel Remedios presented "A deep generative prior for high-resolution isotropic MR head slices".
    • Zhangxing Bian presented "FabCod: fast brain connectivity in diffusion imaging".
    • Zhangxing Bian presented "DrCodd: deep registration for correcting distortion of diffusion MRI with single phase-encoding scan".
    • Lianrui Zuo presented "A latent space for unsupervised MR image quality control via artifact assessment".
  • Other accepted papers at SPIE-MI 2023 coming from collaborations with IACL.
    • Allen Hong from The College of New Jersey, presented "Investigating the effect of cerebral atrophy on brain deformation using subject-specific models".
    • Xiaofeng Liu from Massachusetts General Hospital, presented "Synthesizing audio from tongue motion during speech using tagged MRI via transformer".


IACL at SPIE 2023
2023-SPIE-Group-Photo-2.jpg
IACL Lab members (past and present) at SPIE 2023 in San Diego.
 
2023-SPIE-Zuo-Poster.jpg
Lianrui Zuo presented Pouria Tohidi's work titled "Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation".


  • Dr. Muhan Shao's paper titled "Analysis of Tongue Muscle Strain During Speech From Multimodal Magnetic Resonance Imaging" appears in Journal of Speech, Language, and Hearing Research. DOI: " 10.1044/2022_JSLHR-22-00329"  (PubMed)


January

  • Shuo Han's paper titled "ESPRESO: An algorithm to estimate the slice profile of a single magnetic resonance image" appears in Mag. Reson. Im.. DOI: " 10.1016/j.mri.2023.01.012"  (PubMed)