Computational Imaging Science Lab @ UIUC (comp-imaging-sci)

Computational Imaging Science Lab @ UIUC

comp-imaging-sci

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

Location:Urbana, IL, USA

Home Page:https://anastasio.bioengineering.illinois.edu/

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Computational Imaging Science Lab @ UIUC's repositories

pic-recon

Code associated with the paper "Prior Image-Constrained Reconstruction using Style-Based Generative Models" accepted to ICML 2021.

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MVG-CNN

Codes related to paper "Automated sleep stage classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning"

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hallucinations-tomo-recon

Codes related to the paper "On hallucinations in tomographic imaging"

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usct-breast-phantom

Three dimensional acoustic breast phantoms for USCT studies

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attention-based-bilstm-sleep-scoring

Codes related to the paper "Attention-Based CNN-BiLSTM for Sleep States Classification of Spatiotemporal Wide-Field Calcium Imaging Data"

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CLS-Mask_R-CNN

Crown-like Structure Detection and Segmentation in 3D Light-sheet Microscopy Imaging with Mask R-CNN

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optical-fluence-normalization_3d-functional-oat_breast

Codes related to the paper "Normalization of optical fluence distribution for three-dimensional functional optoacoustic tomography of the breast"

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ambientflow

Learning invertible generative models from lossy measurements

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dataverse-pyclient

A collection of python scripts to interact with large datasets on Dataverse

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breast-phantom-oat

BreastPhantom: modified branch for OAT virtual imaging studies

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mining-tomo-solutions-pulse

Codes related to the paper titled "Mining the manifolds of deep generative models for multiple data-consistent solutions of tomographic imaging problems" by Bhadra et al. (2022)

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scms-dgm-evaluation

Code for post-hoc analyses for DGM evaluation based on stochastic context models (SCM). Accompanies the benchmark datasets publicly available on Harvard Dataverse.

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