Difference between revisions of "News/2023"

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{{h2|2023}}
 
{{h2|2023}}
 
__NOTOC__
 
__NOTOC__
 +
{{h3|November}}
 +
[[File:2023-Book-Deep-Learning-for-Medical-Image-Analysis.jpg|thumb|250px|link=https://shop.elsevier.com/books/deep-learning-for-medical-image-analysis/zhou/978-0-323-85124-4|'''"Deep Learning for Medical Image Analysis"''' 2<sup>nd</sup> edition is available for pre-order before its release in December 2023.]]
 +
* '''"[https://shop.elsevier.com/books/deep-learning-for-medical-image-analysis/zhou/978-0-323-85124-4 Deep Learning for Medical Image Analysis]"'''  2<sup>nd</sup> edition is available for [https://shop.elsevier.com/books/deep-learning-for-medical-image-analysis/zhou/978-0-323-85124-4 pre-order] before its release in December 2023. It features two chapters from IACL Lab Members.
 +
** [[Lianrui|Lianrui Zuo]] is the lead author of '''Chapter 5''' titled '''"An overview of disentangled representation learning for MR images"'''. {{doi|10.1016/B978-0-32-385124-4.00014-3}}
 +
** [[Yihao|Yihao Liu]] is the lead author of '''Chapter 16''' titled '''"OCTA Segmentation with limited training data using disentangled representation learning"'''. {{doi|10.1016/B978-0-32-385124-4.00027-1}}
 +
* The book is available direct from [https://shop.elsevier.com/books/deep-learning-for-medical-image-analysis/zhou/978-0-323-85124-4 Elsevier], as well as from [https://www.amazon.com/Learning-Medical-Analysis-MICCAI-Society/dp/032385124X/ 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 {{iacl-pub jmi}}. {{doi|10.1117/1.JMI.10.6.064001}}
 +
{{-}}
 +
 +
[[File:Mmexport1698718907092_crop.jpg|thumb|250px|link=https://iacl.ece.jhu.edu/images/0/0f/Mmexport1698718907092.jpg|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:
 +
** {{researcher| name = [[Savannah|Savannah Hays]] | gs = pMxz1VYAAAAJ | OrcID = 0009-0005-8711-1356 | SPIE = Savannah.Hays-4342589 | LinkedIn = savannahphays}}
 +
** {{researcher| name = [[Yihao|Yihao Liu]] | gs = DlOPRbAAAAAJ | OrcID = 0000-0003-3187-9903 | SPIE = Yihao.Liu-4213494}}
 +
** [https://sremedios.github.io Samuel W. Remedios] {{GS|H6TdLnoAAAAJ|name = S.W. Remedios}} {{SPIE|Samuel.Remedios-4355849|name = S.W. Remedios}}
 +
** {{researcher | name = [[Lianrui|Lianrui Zuo]] | gs = GQGYangAAAAJ | OrcID = 0000-0002-5923-9097 | SPIE = Lianrui.Zuo-4071750 | LinkedIn = lianrui-zuo-546092143}}
 +
{{-}}
 +
 +
 +
{{h3|October}}
 +
[[File:2023-SASHIMI-Remedios-Certificate.jpg|thumb|250px|link=https://iacl.ece.jhu.edu/images/8/86/2023-SASHIMI-Remedios-Certificate.jpg|[https://sremedios.github.io/ Samuel Remedios] wins best paper at the ''Simulation and Synthesis in Medical Imaging workshop (SASHIMI 2023)''.]]
 +
* IACL papers at the {{iacl-pub miccai2023}}
 +
** Dr. Shuwen Wei presented {{pub| title = Recurrent Self Fusion: Iterative Denoising for Consistent Retinal OCT Segmentation | conf = omia2023 | doi = 10.1007/978-3-031-44013-7_5 | youtube = vrzvCA_lefk}}
 +
** [https://sremedios.github.io/ Samuel W. Remedios] presented {{pub| title = Self-Supervised Super-Resolution for Slice Gap MRI | conf = sashimi2023 | doi = 10.1007/978-3-031-44689-4_12 | youtube = HhkpXy2DZNI}}
 +
** Zhangxing Bian presented {{pub| title = MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction | conf = mtsail2023 | arXiv = 2308.02949}}
 +
 +
 +
* [https://github.com/lianruizuo/haca3 HACA3 Code] for MR Harmonization is available. The method is described in:
 +
:: {{pub| author = 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 | title = HACA3: A unified approach for multi-site MR image harmonization | jrnl = cmig | number = 109:102285 | when = 2023 | doi = 10.1016/j.compmedimag.2023.102285 | arXiv = 2212.06065}}
 +
 +
 +
<section end="recent" />
 +
 +
 +
{{h3|September}}
 +
 +
{| align="center" style="width:90%; border:2px #e9e solid; background:#ffffff; text-align:left;"
 +
|-
 +
| colspan="8" align="center" | '''IACL at Johns Hopkins AIX 2023'''
 +
|-
 +
| colspan="8" align="center" style="width:75%; border-spacing:10px; border:1px #e9e solid; background: #e9e; text-align:center;" |
 +
|-
 +
| align="center" colspan="2" style="width:30%;" | [[File:2023-AIX-Hays-Poster-crop.jpg|250px|link=https://iacl.ece.jhu.edu/images/0/0d/2023-AIX-Hays-Poster.jpg]]
 +
| align="center" colspan="1" | &nbsp;
 +
| align="center" colspan="2" style="width:30%;" | [[File:2023-AIX-Wei-Poster.jpg|125px|link=https://iacl.ece.jhu.edu/images/8/84/2023-AIX-Wei-Poster.jpg]]
 +
| align="center" colspan="1" | &nbsp;
 +
| align="center" colspan="2" style="width:30%;" | [[File:2023-AIX-Remedios-Poster-50-crop.jpg|125px|link=https://iacl.ece.jhu.edu/images/4/40/2023-AIX-Remedios-Poster.jpg]]
 +
|-
 +
| align="center" colspan="2" style="width:30%;" | Savannah Hays recapping her 2023 MIDL work titled '''"Exploring the Optimal Operating MR Contrast for Brain Ventricle Parcellation"'''. {{OpenReview|3ndjE9eawkr|Exploring the Optimal Operating MR Contrast for Brain Ventricle Parcellation}}
 +
| align="center" colspan="1" | &nbsp;
 +
| align="center" colspan="2" style="width:30%;" | Dr. Wei previewing his 2023 MICCAI work titled '''"Recurrent Self Fusion: Iterative Denoising for Consistent Retinal OCT Segmentation"'''. {{doi|10.1007/978-3-031-44013-7_5}}
 +
| align="center" colspan="1" | &nbsp;
 +
| align="center" colspan="2" style="width:30%;" | Samuel Remedios previewing his 2023 MICCAI work titled '''"Self-Supervised Super-Resolution for Slice Gap MRI"'''.
 +
|-
 +
| align="center" colspan="8" | &nbsp;
 +
|-
 +
|}
 +
 +
 +
 +
{{h3|August}}
 +
* [[Lianrui|Lianrui Zuo's]] new harmonization paper titled '''"HACA3: A unified approach for multi-site MR image harmonization"''' appears in {{iacl-pub cmig}}. {{doi | 10.1016/j.compmedimag.2023.102285}} {{arXiv | 2212.06065}}&nbsp;&nbsp;&nbsp;[https://github.com/lianruizuo/haca3 HACA3 Code]
 +
* A portion of [[Lianrui|Lianrui Zuo's]] interview with [https://www.neurologylive.com/view/enhancing-consistency-neuroimaging-ai-image-harmonization-lianrui-zuo NeurologyLive] is now [https://www.neurologylive.com/view/enhancing-consistency-neuroimaging-ai-image-harmonization-lianrui-zuo available], it was recorded at the {{iacl-pub cmsc2023}}
 +
 +
 +
{{h3|July}}
 +
* As part of our collaboration with Washington Univeristy in St. Louis, Dr. Ruth Okamoto's paper titled '''"Effect Of Direction And Frequency Of Skull Motion On Mechanical Vulnerability Of The Human Brain"''' appears in the ''Journal of Biomechanical Engineering''. {{doi|10.1115/1.4062937}}
 +
 +
 +
* IACL papers at {{iacl-pub midl2023}}
 +
** Zhangxing Bian presented '''"DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue"'''. {{arXiv|2301.07234|Exploring the Optimal Operating MR Contrast for Brain Ventricle Parcellation}} {{OpenReview|jkSC4UHHVzy|Exploring the Optimal Operating MR Contrast for Brain Ventricle Parcellation}} {{YouTube|R1McZ5FPpyA|Exploring the Optimal Operating MR Contrast for Brain Ventricle Parcellation}}
 +
** Savannah Hays presented '''"Exploring the Optimal Operating MR Contrast for Brain Ventricle Parcellation"'''. {{OpenReview|3ndjE9eawkr|Exploring the Optimal Operating MR Contrast for Brain Ventricle Parcellation}}
 +
 +
 +
{| align="center" style="width:90%; border:2px #90e909 solid; background:#ffffff; text-align:left;"
 +
|-
 +
| colspan="5" align="center" | '''IACL at MIDL 2023'''
 +
|-
 +
| colspan="5" align="center" style="width:75%; border-spacing:10px; border:1px #90e909 solid; background: #90e9909; text-align:center;" |
 +
|-
 +
| align="center" colspan="1" style="width:30%;" | [[File:2023-MIDL-Bian-Poster-01.jpg|250px|link=https://iacl.ece.jhu.edu/images/6/6a/2023-MIDL-Bian-Poster-01.jpg]]
 +
| align="center" colspan="1" | &nbsp;
 +
| align="center" colspan="1" style="width:30%;" | [[File:2023-MIDL-Bian-Oral-01.jpg|250px|link=https://iacl.ece.jhu.edu/images/f/f5/2023-MIDL-Bian-Oral-01.jpg]]
 +
| align="center" colspan="1" | &nbsp;
 +
| align="center" colspan="1" style="width:30%;" | [[File:2023-MIDL-Hays-Social.jpg|250px|link=https://iacl.ece.jhu.edu/images/4/48/2023-MIDL-Hays-Social.jpg]]
 +
|-
 +
| align="center" colspan="3" style="width:61%;" | Zhangxing Bian presenting '''"DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue"'''.
 +
| align="center" colspan="1" | &nbsp;
 +
| align="center" colspan="1" style="width:30%;" | Savannah Hays with previous lab member Chenyu Gao.
 +
|-
 +
| align="center" colspan="3" | &nbsp;
 +
|-
 +
|}
 +
 +
 +
* [[Lianrui|Lianrui Zuo]] is interviewed by the Video Journal of Neurology. Discussing the following topics:
 +
** [https://vjneurology.com/video/6owfqlwkyfa-fixing-inconsistent-mri-data-using-image-harmonization/ Fixing inconsistent MRI data using image harmonization]
 +
** [https://vjneurology.com/video/hfnimq2pkns-impact-of-image-harmonization-on-ms-imaging-practice/ Impact of image harmonization on MS imaging practice]
 +
** [https://vjneurology.com/video/jkhtprpr5ay-future-of-ms-image-standardization/ Future of MS image standardization]
 +
** [https://vjneurology.com/video/iupwrwzv4a-different-approaches-to-improving-ms-image-standardization/ Different approaches to improving MS image standardization]
 +
 +
 
{{h3|June}}
 
{{h3|June}}
 +
[[File:2023-CMSC-Mini-Group-Selfie-crop.jpg|thumb|250px|link=http://iacl.ece.jhu.edu/images//3/3a/2023-CMSC-Mini-Group-Selfie.jpg|[[Savannah|Savannah Hays]], [[Lianrui|Lianrui Zuo]], and [https://sremedios.github.io/ Samuel Remedios] at the {{iacl-pub cmsc2023}}.]]
 +
* IACL papers at the {{iacl-pub cmsc2023}}
 +
** Dr. Blake Dewey presented '''"Compliance with CMSC MRI Guidelines in a Multi-Center, Pragmatic, Randomized Clinical Trial: Improvements over Time"''' and '''"Measuring MRIs Differences Between Sites: Design of a Traveling Subject Study in MS"'''.
 +
** [[Lianrui|Lianrui Zuo]] presented Dr. Shuwen Wei's work titled '''"Retinal layer thickness comparison between the UK BioBank and people with multiple sclerosis"''' and '''"Synthesizing Missing MRI Sequences to Improve Processing Images in Multiple Sclerosis"''', and his own work '''"Inconsistent MR acquisition in longitudinal volumetric analysis: Impacts and solutions"'''.
 +
** [https://sremedios.github.io/ Samuel Remedios] presented '''"Cautions in Anisotropy: Thick Slices and Slice Gaps in 2D MR Acquisition Tarnish Volumetrics"'''.
 +
** [[Savannah|Savannah Hays]] presented '''"Quantifying contrast differences among MR images used in clinical studies"'''.
 +
  
{| align="center" style="width:90%; border:2px #e99095 solid; background:#ffffff; text-align:left;"
+
{| align="center" style="width:90%; border:2px #000 solid; background:#ffffff; text-align:left;"
 
|-
 
|-
| colspan="2" align="center" | '''IACL at CMSC 2023'''
+
| colspan="3" align="center" | '''IACL at CMSC 2023'''
 
|-
 
|-
| colspan="2" align="center" style="width:75%; border-spacing:10px; border:1px #e99095 solid; background: #e99095; text-align:center;" |
+
| colspan="3" align="center" style="width:75%; border-spacing:10px; border:1px #333 solid; background: #333; text-align:center;" |
 
|-
 
|-
| align="center" colspan="1" | [[File:2023-CMSC-Dewey-Poster-crop.jpg|250px|link=https://iacl.ece.jhu.edu/images/1/1a/2023-CMSC-Dewey-Poster.jpg]]
+
| align="center" colspan="1" style="width:45%;" | [[File:2023-CMSC-Dewey-Poster-crop.jpg|250px|link=https://iacl.ece.jhu.edu/images/1/1a/2023-CMSC-Dewey-Poster.jpg]]
| align="center" colspan="1" |
+
| align="center" colspan="1" | &nbsp;
 +
| align="center" colspan="1" style="width:45%;" | [[File:2023-CMSC-Remedios-Poster-SR-1-crop.jpg|250px|link=https://iacl.ece.jhu.edu/images/f/f1/2023-CMSC-Remedios-Poster-SR-1.jpg]]
 
|-
 
|-
| align="center" colspan="2" |
+
| align="center" colspan="1" style="width:45%;" | Dr. Blake Dewey between his two posters '''"Compliance with CMSC MRI Guidelines in a Multi-Center, Pragmatic, Randomized Clinical Trial: Improvements over Time"''' and '''"Measuring MRIs Differences Between Sites: Design of a Traveling Subject Study in MS"'''.
 +
| align="center" colspan="1" | &nbsp;
 +
| align="center" colspan="1" style="width:45%;" | [https://sremedios.github.io/ Samuel Remedios] presenting '''"Cautions in Anisotropy: Thick Slices and Slice Gaps in 2D MR Acquisition Tarnish Volumetrics"'''.
 
|-
 
|-
| align="center" colspan="2" | &nbsp;
+
| align="center" colspan="3" | &nbsp;
 
|-
 
|-
| align="center" colspan="1" | [[File:2023-CMSC-Hays-Poster-crop.jpg|250px|link=https://iacl.ece.jhu.edu/images/6/6e/2023-CMSC-Hays-Poster.jpg]]
+
| align="center" colspan="1" style="width:45%;" | [[File:2023-CMSC-Hays-Poster-crop.jpg|250px|link=https://iacl.ece.jhu.edu/images/6/6e/2023-CMSC-Hays-Poster.jpg]]
| align="center" colspan="1" |
+
| align="center" colspan="1" | &nbsp;
 +
| align="center" colspan="1" style="width:45%;" | [[File:2023-CMSC-Zuo-Oral-Longitudinal-crop.jpg|250px|link=https://iacl.ece.jhu.edu/images//6/6c/2023-CMSC-Zuo-Oral-Longitudinal.jpg]]
 
|-
 
|-
| align="center" colspan="2" |
+
| align="center" colspan="1" style="width:45%;" | [[Savannah|Savannah Hays]] presenting '''"Quantifying contrast differences among MR images used in clinical studies"'''.
 +
| align="center" colspan="1" | &nbsp;
 +
| align="center" colspan="1" style="width:45%;" | [[Lianrui|Lianrui Zuo]] presenting '''"Inconsistent MR acquisition in longitudinal volumetric analysis: impacts and solutions"'''.
 
|-
 
|-
 
|}
 
|}
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** Anqi Feng's paper titled '''"Label propagation via random walk for training robust thalamus nuclei parcellation model from noisy annotations"'''.
 
** Anqi Feng's paper titled '''"Label propagation via random walk for training robust thalamus nuclei parcellation model from noisy annotations"'''.
  
{| align="center" style="width:90%; border:2px #e99095 solid; background:#ffffff; text-align:left;"
+
{| align="center" style="width:90%; border:2px #99e solid; background:#ffffff; text-align:left;"
 
|-
 
|-
 
| colspan="3" align="center" | '''IACL at ISBI 2023'''
 
| colspan="3" align="center" | '''IACL at ISBI 2023'''
 
|-
 
|-
| colspan="3" align="center" style="width:75%; border-spacing:10px; border:1px #e99095 solid; background: #e99095; text-align:center;" |
+
| colspan="3" align="center" style="width:75%; border-spacing:10px; border:1px #99e solid; background: #99e; text-align:center;" |
 
|-
 
|-
 
| align="center" colspan="1" | [[File:2023-ISBI-Feng-Poster-crop.jpg|250px|link=https://iacl.ece.jhu.edu/images/6/6a/2023-ISBI-Feng-Poster.jpg]]
 
| align="center" colspan="1" | [[File:2023-ISBI-Feng-Poster-crop.jpg|250px|link=https://iacl.ece.jhu.edu/images/6/6a/2023-ISBI-Feng-Poster.jpg]]
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* Congratulations to Zhangxing Bian on winning a Best Paper Award at the {{iacl-pub spie2023}}
 
* Congratulations to Zhangxing Bian on winning a Best Paper Award at the {{iacl-pub spie2023}}
 
* IACL papers at the {{iacl-pub spie2023}}
 
* IACL papers at the {{iacl-pub spie2023}}
 +
<!--
 
** 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|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"'''.
 
** [https://yuliwanghust.github.io/ 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"'''.
+
** Chang Yan's work titled '''"Segmenting thalamic nuclei from manifold projections of multi-contrast MRI"'''.
 
** [https://sremedios.github.io/ 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 '''"FastCod: Fast Brain Connectivity in Diffusion Imaging"'''.
 
** Zhangxing Bian presented '''"FastCod: Fast Brain Connectivity in Diffusion Imaging"'''.
Line 95: Line 213:
 
| colspan="5" align="center" style="width:75%; border-spacing:10px; border:1px #e99095 solid; background: #e99095; text-align:center;" |
 
| colspan="5" align="center" style="width:75%; border-spacing:10px; border:1px #e99095 solid; background: #e99095; text-align:center;" |
 
|-
 
|-
 +
<!--
 
| align="center" colspan="5" | [[File:2023-SPIE-Group-Photo-2.jpg|500px|link=https://iacl.ece.jhu.edu/images/9/98/2023-SPIE-Group-Photo-2.jpg]]
 
| align="center" colspan="5" | [[File:2023-SPIE-Group-Photo-2.jpg|500px|link=https://iacl.ece.jhu.edu/images/9/98/2023-SPIE-Group-Photo-2.jpg]]
 
|-
 
|-
 
| align="center" colspan="5" | IACL Lab members (past and present) at SPIE-MI 2023 in San Diego.
 
| align="center" colspan="5" | IACL Lab members (past and present) at SPIE-MI 2023 in San Diego.
 +
-->
 
|-
 
|-
 
| &nbsp;
 
| &nbsp;
Line 141: Line 261:
 
{{h3|January}}
 
{{h3|January}}
 
*Shuo Han's paper titled '''"ESPRESO: An algorithm to estimate the slice profile of a single magnetic resonance image"''' appears in {{iacl-pub mri}}. {{doi | 10.1016/j.mri.2023.01.012}} {{PubMed | 36702167}}
 
*Shuo Han's paper titled '''"ESPRESO: An algorithm to estimate the slice profile of a single magnetic resonance image"''' appears in {{iacl-pub mri}}. {{doi | 10.1016/j.mri.2023.01.012}} {{PubMed | 36702167}}
 
 
 
<section end="recent" />
 

Latest revision as of 14:53, 2 March 2026


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: "10.1016/B978-0-32-385124-4.00014-3"
    • Yihao Liu is the lead author of Chapter 16 titled "OCTA Segmentation with limited training data using disentangled representation learning". DOI: "10.1016/B978-0-32-385124-4.00027-1"
  • 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 SPIE Journal of Medical Imaging. DOI: "10.1117/1.JMI.10.6.064001"


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



September

IACL at Johns Hopkins AIX 2023
2023-AIX-Hays-Poster-crop.jpg   2023-AIX-Wei-Poster.jpg   2023-AIX-Remedios-Poster-50-crop.jpg
Savannah Hays recapping her 2023 MIDL work titled "Exploring the Optimal Operating MR Contrast for Brain Ventricle Parcellation". (OpenReview)   Dr. Wei previewing his 2023 MICCAI work titled "Recurrent Self Fusion: Iterative Denoising for Consistent Retinal OCT Segmentation". DOI: "10.1007/978-3-031-44013-7_5"   Samuel Remedios previewing his 2023 MICCAI work titled "Self-Supervised Super-Resolution for Slice Gap MRI".
 


August

  • Lianrui Zuo's new harmonization paper titled "HACA3: A unified approach for multi-site MR image harmonization" appears in Computerized Medical Imaging and Graphics. DOI: " 10.1016/j.compmedimag.2023.102285" arXiv: " 2212.06065"   HACA3 Code
  • A portion of Lianrui Zuo's interview with NeurologyLive is now available, it was recorded at the 2023 Consortium of Multiple Sclerosis Centers (CMSC) Annual Meeting, Aurora, CO, May 31 - June 3, 2023.


July

  • As part of our collaboration with Washington Univeristy in St. Louis, Dr. Ruth Okamoto's paper titled "Effect Of Direction And Frequency Of Skull Motion On Mechanical Vulnerability Of The Human Brain" appears in the Journal of Biomechanical Engineering. DOI: "10.1115/1.4062937"


  • IACL papers at Medical Imaging with Deep Learning (MIDL 2023), Nashville, TN, July 10–12, 2023.
    • Zhangxing Bian presented "DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue". arXiv: "Exploring the Optimal Operating MR Contrast for Brain Ventricle Parcellation" (OpenReview) Exploring the Optimal Operating MR Contrast for Brain Ventricle Parcellation
    • Savannah Hays presented "Exploring the Optimal Operating MR Contrast for Brain Ventricle Parcellation". (OpenReview)


IACL at MIDL 2023
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Zhangxing Bian presenting "DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue".   Savannah Hays with previous lab member Chenyu Gao.
 



June

Savannah Hays, Lianrui Zuo, and Samuel Remedios at the 2023 Consortium of Multiple Sclerosis Centers (CMSC) Annual Meeting, Aurora, CO, May 31 - June 3, 2023..
  • IACL papers at the 2023 Consortium of Multiple Sclerosis Centers (CMSC) Annual Meeting, Aurora, CO, May 31 - June 3, 2023.
    • Dr. Blake Dewey presented "Compliance with CMSC MRI Guidelines in a Multi-Center, Pragmatic, Randomized Clinical Trial: Improvements over Time" and "Measuring MRIs Differences Between Sites: Design of a Traveling Subject Study in MS".
    • Lianrui Zuo presented Dr. Shuwen Wei's work titled "Retinal layer thickness comparison between the UK BioBank and people with multiple sclerosis" and "Synthesizing Missing MRI Sequences to Improve Processing Images in Multiple Sclerosis", and his own work "Inconsistent MR acquisition in longitudinal volumetric analysis: Impacts and solutions".
    • Samuel Remedios presented "Cautions in Anisotropy: Thick Slices and Slice Gaps in 2D MR Acquisition Tarnish Volumetrics".
    • Savannah Hays presented "Quantifying contrast differences among MR images used in clinical studies".


IACL at CMSC 2023
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Dr. Blake Dewey between his two posters "Compliance with CMSC MRI Guidelines in a Multi-Center, Pragmatic, Randomized Clinical Trial: Improvements over Time" and "Measuring MRIs Differences Between Sites: Design of a Traveling Subject Study in MS".   Samuel Remedios presenting "Cautions in Anisotropy: Thick Slices and Slice Gaps in 2D MR Acquisition Tarnish Volumetrics".
 
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Savannah Hays presenting "Quantifying contrast differences among MR images used in clinical studies".   Lianrui Zuo presenting "Inconsistent MR acquisition in longitudinal volumetric analysis: impacts and solutions".


May

Dr. Muhan Shao being hooded by Prof. J.L. Prince.
  • Congratulations to Muhan Shao on receiving her PhD.
  • Congratulations to Anqi "Amy" Feng on receiving her masters, she will be staying at Hopkins and joining the PhD program.


April


Savannah Hays presenting "Rapid brain meninges surface reconstruction with layer topology guarantee" at ISBI 2023 in Cartagena de Indias, Colombia.
  • IACL papers at the 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena de Indias, Colombia, April 18–21, 2023.
    • Savannah Hays' paper titled "Optimal operating MR contrast for brain ventricle parcellation".
    • Yuli Wang's paper titled "Automated ventricle parcellation and Evan’s ratio computation in pre- and post-surgical ventriculomegaly".
    • Peiyu Duan's paper titled "Rapid brain meninges surface reconstruction with layer topology guarantee".
    • Anqi Feng's paper titled "Label propagation via random walk for training robust thalamus nuclei parcellation model from noisy annotations".
IACL at ISBI 2023
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IACL Posters at ISBI 2023 in Cartagena de Indias, Colombia.
 
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Savannah Hays pulling triple poster duty at ISBI 2023.


  • Dr. Yufan He's paper titled "Longitudinal deep network for consistent OCT layer segmentation" appears in Biomedical Optics Express. DOI: " 10.1364/BOE.487518"


February

Zhangxing Bian wins a Best Paper at SPIE-MI 2023.
  • 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.
    • 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".
    • 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 "FastCod: Fast Brain Connectivity in Diffusion Imaging".
    • Zhangxing Bian presented "DrDisco: Deep Registration for Distortion Correction of Diffusion MRI with single phase-encoding".
    • 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-MI 2023
 
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Lianrui Zuo presenting Pouria Tohidi's work titled "Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation".   Zhangxing Bian presenting "DrDisco: Deep Registration for Distortion Correction of Diffusion MRI with single phase-encoding".
 
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Samuel Remedios presenting "A deep generative prior for high-resolution isotropic MR head slices".   Lianrui Zuo presenting "A latent space for unsupervised MR image quality control via artifact assessment".
 
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Allen Hong presenting "Investigating the effect of cerebral atrophy on brain deformation using subject-specific models".   Jinglun Yu presenting "New starting point registration method for tagged MRI tongue motion estimation".
 


  • 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)