Computational Imaging Science Lab @ UIUC
The Computational Imaging Science Lab led by Prof. Mark Anastasio performs research in computational and theoretical image science and emerging imaging methods.
Urbana, IL, USA
Pinned Repositories
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"
CLS-Mask_R-CNN
Crown-like Structure Detection and Segmentation in 3D Light-sheet Microscopy Imaging with Mask R-CNN
dataverse-pyclient
A collection of python scripts to interact with large datasets on Dataverse
hallucinations-tomo-recon
Codes related to the paper "On hallucinations in tomographic imaging"
MVG-CNN
Codes related to paper "Automated sleep stage classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning"
null-space-projection-operators
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"
pic-recon
Code associated with the paper "Prior Image-Constrained Reconstruction using Style-Based Generative Models" accepted to ICML 2021.
soa-nbp
usct-breast-phantom
Three dimensional acoustic breast phantoms for USCT studies
Computational Imaging Science Lab @ UIUC's Repositories
comp-imaging-sci/MVG-CNN
Codes related to paper "Automated sleep stage classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning"
comp-imaging-sci/pic-recon
Code associated with the paper "Prior Image-Constrained Reconstruction using Style-Based Generative Models" accepted to ICML 2021.
comp-imaging-sci/hallucinations-tomo-recon
Codes related to the paper "On hallucinations in tomographic imaging"
comp-imaging-sci/usct-breast-phantom
Three dimensional acoustic breast phantoms for USCT studies
comp-imaging-sci/null-space-projection-operators
comp-imaging-sci/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"
comp-imaging-sci/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"
comp-imaging-sci/CLS-Mask_R-CNN
Crown-like Structure Detection and Segmentation in 3D Light-sheet Microscopy Imaging with Mask R-CNN
comp-imaging-sci/dataverse-pyclient
A collection of python scripts to interact with large datasets on Dataverse
comp-imaging-sci/soa-nbp
comp-imaging-sci/ambientflow
Learning invertible generative models from lossy measurements
comp-imaging-sci/breast-phantom-oat
BreastPhantom: modified branch for OAT virtual imaging studies
comp-imaging-sci/lanet-bus
comp-imaging-sci/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)
comp-imaging-sci/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.