Difference between revisions of "News/2022"
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{{-}} | {{-}} | ||
{{h2|2022}} | {{h2|2022}} | ||
__NOTOC__ | __NOTOC__ | ||
+ | {{h3|December}} | ||
+ | *Yihao Liu's paper titled '''"Disentangled Representation Learning for OCTA Vessel Segmentation with Limited Training Data"''' appears in {{iacl-pub tmi}}. {{doi | 10.1109/TMI.2022.3193029}} {{PubMed | 35862335}} | ||
+ | |||
+ | |||
+ | {{h3|November}} | ||
+ | *The lab visited the [https://corradetti.com/ Corradetti Glass Studio] to do some glass blowing. | ||
+ | {{-}} | ||
+ | {| align="center" style="width:90%; border:2px #a0a5f0 solid; background:#ffffff; text-align:left;" | ||
+ | |- | ||
+ | | colspan="6" align="center" | '''IACL at Corradetti Glass''' | ||
+ | |- | ||
+ | | | ||
+ | |- | ||
+ | | align="center" colspan="2"| [[File:PXL_20221106_192335103.jpg|275px|link=https://iacl.ece.jhu.edu/images/5/5e/PXL_20221106_192335103.jpg]] | ||
+ | | align="center" colspan="2"| [[File:PXL_20221106_190136268.jpg|275px|link=https://iacl.ece.jhu.edu/images/5/56/PXL_20221106_190136268.jpg]] | ||
+ | | align="center" colspan="1"| [[File:PXL_20221106_184146854.jpg|275px|link=https://iacl.ece.jhu.edu/images/a/a5/PXL_20221106_184146854.jpg]] | ||
+ | |- | ||
+ | | | ||
+ | |- | ||
+ | | align="center" colspan="3"| [[File:IMG_9869_01.png|450px|link=https://iacl.ece.jhu.edu/images/2/27/IMG_9869_01.png]] | ||
+ | | align="center" colspan="3"| [[File:IMG_9875_02.png|450px|link=https://iacl.ece.jhu.edu/images/1/14/IMG_9875_02.png]] | ||
+ | |- | ||
+ | | | ||
+ | |- | ||
+ | | align="center" colspan="3"| [[File:PXL_20221106_190613230_02.png|450px|link=https://iacl.ece.jhu.edu/images/1/13/PXL_20221106_190613230_02.png]] | ||
+ | | align="center" colspan="3"| [[File:IMG_1508_crop.jpg|450px|link=https://iacl.ece.jhu.edu/images/7/7f/IMG_1508_crop.jpg]] | ||
+ | |- | ||
+ | | | ||
+ | |- | ||
+ | <!-- | ||
+ | | align="center" colspan="2"| [[File:PXL_20221106_194546883.jpg|275px|link=https://iacl.ece.jhu.edu/images/a/a8/PXL_20221106_194546883.jpg]] | ||
+ | --> | ||
+ | | align="center" colspan="3"| [[File:1111221213b.jpg|275px|link=https://iacl.ece.jhu.edu/images/0/00/1111221213b.jpg]] | ||
+ | | align="center" colspan="3"| [[File:1111221212.jpg|275px|link=https://iacl.ece.jhu.edu/images/6/6d/1111221212.jpg]] | ||
+ | |- | ||
+ | | | ||
+ | |- | ||
+ | |} | ||
+ | |||
+ | |||
+ | {{h3|September}} | ||
+ | [[File:2022-DALI-Zuo-Award.jpg|thumb|link=https://iacl.ece.jhu.edu/images/2/29/2022-DALI-Zuo-Award.jpg|250px|[[Lianrui|Lianrui Zuo]] wins the Best Paper at [https://dali-miccai.github.io/ DALI 2022].]] | ||
+ | [[File:2022-MICCAI-Remedios-Poster.jpg|thumb|250px|link=https://iacl.ece.jhu.edu/images/9/9b/2022-MICCAI-Remedios-Poster.jpg|Sam Remedios presenting his poster at MICCAI 2022 titled '''"Deep filter bank regression for super-resolution of anisotropic MR brain images"'''.]] | ||
+ | * IACL papers at the {{iacl-pub miccai2022}} | ||
+ | ** [https://sremedios.github.io/ Samuel W. Remedios] presented {{pub| title = Deep filter bank regression for super-resolution of anisotropic MR brain images | conf = miccai2022 | doi = 10.1007/978-3-031-16446-0_58 | arXiv = 2209.02611 | youtube = WYyhagmH4RU}} | ||
+ | ** Xiaofeng Liu presented {{pub| title = Tagged-MRI2Audio with Attention Guided Heterogeneous Translator | conf = miccai2022 | doi = | arXiv = 2206.02284}} | ||
+ | ** [[Lianrui|Lianrui Zuo's]] presented {{pub| title = Disentangling from A Single MR Modality | conf = dali2022| doi = | arXiv = 2205.04982 | youtube = BGY5dHTarms}} | ||
+ | <!-- | ||
+ | ** Yuan Xue presented {{pub| title = Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement | conf = sashimi2022 | doi = | youtube = ke6nIqp9IAE}} | ||
+ | --> | ||
+ | ** Yihao Liu presented {{pub| title = Coordinate Translator for Learning Deformable Medical Image Registration | conf = mmmi2022 | doi = | arXiv = 2203.03626 | youtube = UOciJGwMRAc}} | ||
+ | ** Germain Morilhat presented {{pub| title = Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions | conf = fair2022| doi = | arXiv = 2208.03305 | youtube = EpzgbI9usRI}} | ||
+ | {{-}} | ||
+ | |||
+ | |||
+ | {{h3|August}} | ||
+ | *Allen Hong gave his REU presentation titled '''"Investigating the effects of cerebral atrophy on brain biomechanics using subject specific models"'''. | ||
+ | |||
+ | |||
+ | {| align="center" style="width:90%; border:2px #90e995 solid; background:#ffffff; text-align:left;" | ||
+ | |- | ||
+ | | colspan="5" align="center" | '''Allen Hong REU Presentation''' | ||
+ | |- | ||
+ | | | ||
+ | |- | ||
+ | | align="center" colspan="1"| [[File:20220805_094037.jpg|450px|link=https://iacl.ece.jhu.edu/images/1/1a/20220805_094037.jpg]] | ||
+ | |- | ||
+ | | align="center" colspan="1"| [[File:20220805_094951.jpg|450px|link=https://iacl.ece.jhu.edu/images/6/64/20220805_094951.jpg]] | ||
+ | |- | ||
+ | | align="center" colspan="1"| [[File:0805221359a_HDR.jpg|450px|link=https://iacl.ece.jhu.edu/images/7/7c/0805221359a_HDR.jpg]] | ||
+ | |- | ||
+ | | | ||
+ | |- | ||
+ | |} | ||
+ | |||
+ | |||
+ | {{h3|July}} | ||
+ | * [https://www.nitrc.org/frs/?group_id=1390 Brain Biomechanics Imaging Resources] now has 100 datasets available for download. | ||
+ | ** 30 subjects from the Henry Jackson Foundation, imaged with tagged magnetic resonance. | ||
+ | ** 36 subjects from the University of Delaware, imaged with high resolution magnetic resonance elastography at multiple frequencies (30Hz, 50Hz, 70Hz). | ||
+ | ** 34 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. 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: | ||
+ | *** '''"Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Brain Models"''' {{doi|https://doi.org/10.1016/j.brain.2021.100038}} | ||
+ | *** '''"MR imaging of human brain mechanics in vivo: New measurements to facilitate the development of computational models of brain injury"''' {{doi|10.1007/s10439-021-02820-0}} | ||
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** Additional information is available in our related publications: | ** Additional information is available in our related publications: | ||
*** '''"Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Brain Models"''' {{doi|https://doi.org/10.1016/j.brain.2021.100038}} | *** '''"Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Brain Models"''' {{doi|https://doi.org/10.1016/j.brain.2021.100038}} | ||
− | *** '''"MR imaging of human brain mechanics in vivo: | + | *** '''"MR imaging of human brain mechanics in vivo: New measurements to facilitate the development of computational models of brain injury"''' {{doi|10.1007/s10439-021-02820-0}} |
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{| align="center" style="width:90%; border:2px #e99095 solid; background:#ffffff; text-align:left;" | {| align="center" style="width:90%; border:2px #e99095 solid; background:#ffffff; text-align:left;" | ||
|- | |- | ||
− | | colspan="5" align="center" | '''IACL at SPIE 2022''' | + | | colspan="5" align="center" | '''IACL at SPIE-MI 2022''' |
|- | |- | ||
| align="center" colspan="2"| [[File:2022-SPIE-IACL-Lab.jpg|500px|link=http://iacl.ece.jhu.edu/images/e/ea/2022-SPIE-IACL-Lab.jpg]] | | align="center" colspan="2"| [[File:2022-SPIE-IACL-Lab.jpg|500px|link=http://iacl.ece.jhu.edu/images/e/ea/2022-SPIE-IACL-Lab.jpg]] | ||
|- | |- | ||
− | | align="center" colspan="2" | IACL Lab members (and friend) at SPIE 2022 in San Diego. | + | | align="center" colspan="2" | IACL Lab members (and friend) at SPIE-MI 2022 in San Diego. |
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Latest revision as of 02:51, 3 October 2023
2022
December
- Yihao Liu's paper titled "Disentangled Representation Learning for OCTA Vessel Segmentation with Limited Training Data" appears in IEEE Trans. on Medical Imaging. (doi) (PubMed)
November
- The lab visited the Corradetti Glass Studio to do some glass blowing.
IACL at Corradetti Glass | |||||
September
- IACL papers at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore, September 18–22, 2022.
- Samuel W. Remedios presented "Deep filter bank regression for super-resolution of anisotropic MR brain images", 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore, September 18–22, 2022. (doi)
- Xiaofeng Liu presented "Tagged-MRI2Audio with Attention Guided Heterogeneous Translator", 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore, September 18–22, 2022.
- Lianrui Zuo's presented "Disentangling from A Single MR Modality", 2nd Workshop on Data Augmentation, Labeling, and Imperfections (DALI 2022) in conjunction with the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore, September 18–22, 2022.
- Yihao Liu presented "Coordinate Translator for Learning Deformable Medical Image Registration", 3rd Multiscale Multimodal Medical Imaging (MMMI 2022) in conjunction with the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore, September 18–22, 2022.
- Germain Morilhat presented "Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions", 2nd workshop on aFfordable AI and healthcare for Resource diverse global health (FAIR 2022) in conjunction with the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore, September 18–22, 2022.
August
- Allen Hong gave his REU presentation titled "Investigating the effects of cerebral atrophy on brain biomechanics using subject specific models".
Allen Hong REU Presentation | ||||
July
- Brain Biomechanics Imaging Resources now has 100 datasets available for download.
- 30 subjects from the Henry Jackson Foundation, imaged with tagged magnetic resonance.
- 36 subjects from the University of Delaware, imaged with high resolution magnetic resonance elastography at multiple frequencies (30Hz, 50Hz, 70Hz).
- 34 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. 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:
June
- Brain Biomechanics Imaging Resources now has 56 datasets available for download.
- 10 subjects from the Henry Jackson Foundation, imaged with tagged magnetic resonance.
- 36 subjects from the University of Delaware, imaged with high resolution magnetic resonance elastography at multiple frequencies (30Hz, 50Hz, 70Hz).
- 10 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. 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:
May
- Congratulations to Blake. E. Dewey, Shuo Han, and Yufan He on receiving their PhDs.
- Congratulations to Peiyu "Camille" Duan and Chenyu Gao on receiving their masters. Peiyu Duan is joining a PhD program at Yale University. Chenyu Gao is joining a PhD at Vanderbilt University.
February
- Congratulations to Pouria Tohidi on winning a Best Poster Award at the Proceedings of SPIE Medical Imaging (SPIE-MI 2022), San Diego, CA, February 20–24, 2022.
- IACL papers at the Proceedings of SPIE Medical Imaging (SPIE-MI 2022), San Diego, CA, February 20–24, 2022.
- Muhan Shao presented "Evaluating the impact of MR image harmonization on thalamus deep network segmentation".
- Savannah Hays presented "Evaluating the Impact of MR Image Contrast on Whole Brain Segmentation".
- Peiyu "Camille" Duan presented "Cranial Meninges Reconstruction Based on Convolutional Networks and Deformable Models: Applications to Longitudinal Study of Normal Aging".
- Ahmed Alshareef presented "Investigating the Effect of Ventricle Size on Brain Deformation using Computational Models" and "Correlation of Cerebral Vasculature to Brain Stiffness Using MRE".
- Chenyu Gao presented "Effects of Defacing Whole Head MRI on Neuroanalysis".
- Pouria Tohidi presented "Multiple Sclerosis Brain Lesion Segmentation with Different Architecture Ensembles".