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Computational Imaging Science Laboratory (CISL) Profile
Computational Imaging Science Laboratory (CISL)

@AnastasioLab

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The Computational Imaging Science Lab at @BIOENGatIL led by Prof. Mark Anastasio performs research in computational image science and emerging imaging methods.

UIUC
Joined July 2021
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
1 year
Congratulations to Professor Mark A. Anastasio on his elevation to IEEE Fellow, effective 1 January 2024!👏🥳
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
17 days
Congratulations of CISL student Kaiyi Yang as she presents her work at @PhotonicsWest this afternoon #SPIE #PhotonicsWest
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
17 days
CISL student Kevin (Hsuan-Kai) Huang will present twice at @PhotonicsWest today. Please congratulate Kevin for his continued groundbreaking work #SPIE #PhotonicsWest
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
18 days
CISL student Refik Mert Cam will be presenting his work this afternoon at @PhotonicsWest #SPIE #PhotonicsWest
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
18 days
Congratulations to CISL student Panpan Chen on her presentation at @PhotonicsWest this afternoon. #SPIE #PhotonicsWest
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
1 month
Advances in Medical Imaging for Cancer Detection and Diagnosis #mdpicancers via @Cancers_MDPI
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
3 months
Congrats to Kaiyan, Dr. Li, and Dr. Anastasio on the publication of their paper "Investigating the use of signal detection information in supervised learning-based image denoising with consideration of task-shift" in the Journal of Medical Imaging. #Imaging #MedicalImaging
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
4 months
New article! Congratulations to Rucha and Muzaffer on the publication of "Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context" on IEEE Xplore. #Imaging #MedicalImaging #NoiseReduction #BiomedicalImaging
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
5 months
Welcoming new grad students and members in the lab..Looking forward to a great academic year.. #imaging #medicalimaging #party #fun
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
5 months
Congrats to Rucha and @VarunKelkar6 for their paper "Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics", which has been accepted for publication in the journal Medical Physics!
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
5 months
Congrats to Refik for his paper "Learning a Stable Approximation of an Existing but Unknown Inverse Mapping: Application to the Half-Time Circular Radon Transform", which has been accepted by the journal Inverse Problems.
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
5 months
Congrats to Rucha and Muzaffer for our paper "Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context", which has just been accepted for publication in IEEE TMI. #diffusion #ieeetmi #medicalimaging #GenAI
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
5 months
Congrats to Neha Goswami, her manuscript entitled "Quantitative phase imaging techniques for measuring scattering properties of cells and tissues: A review-Part II" has been accepted for publication in the Journal of Biomedical Optics!
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
5 months
congrats to Kaiyan Li for his paper ""Investigating the use of signal detection information in supervised learning-based image denoising with consideration of task-shift", which was just accepted for publication in Journal of Medical Imaging (@SPIEtweets ) #JMI #Observer #denoise
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
5 months
congrats to @Caelyn1996 for her paper "Attention-Based CNN-BiLSTM for Sleep State Classification of Spatiotemporal Wide-Field Calcium Imaging Data", which has been accepted for publication in the Journal of Neuroscience Methods
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
5 months
congrats to our PhD student Kevin Huang for contributing significantly to a new IEEE TMI paper "Full-wave Image Reconstruction in Transcranial Photoacoustic Computed Tomography using a Multiphysics Finite Element Method" @IEEE_TMI #tmi #medicalimaging
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
5 months
Congratulations to Gangwon for his paper "Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography", which has been accepted for publication in IEEE TUFFC! #tuffc #usct #ieee
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
8 months
RT @BIOENGatIL: 🎉 We're hiring! The Department of Bioengineering at The Grainger College of Engineering seeks applicants for the position…
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
8 months
RT @villa_umberto: Interested in computational imaging and predictive sciences? My team at @OdenInstitute is looking for a postdoc to join…
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
10 months
Congrats to our graduate students Panpan Chen and @souryasengupta1 for receiving the Mavis Future Faculty Fellowship for 2024-2025. @ECEILLINOIS @BIOENGatIL @CLIMB_UIUC @CancerCenterIL
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@AnastasioLab
Computational Imaging Science Laboratory (CISL)
11 months
Thank you for the highlight!
@BIOENGatIL
Illinois BIOE
11 months
🔶 Illinois researchers have paired label-free optical imaging and AI to create an effective new method of detecting embryo health. Their promising findings were recently published in Nature's Communications Biology. 🔷 Learn more here!
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