Software
Code Supporting Publications
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Adeli E, et al. : Representation Learning with Statistical Independence to Mitigate Bias, 2020 Winter Conference on Applications of Computer Vision, In press.
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Adeli, E et al.: Deep Learning Identifies Morphological Determinants of Sex Differences in the Pre-Adolescent Brain, NeuroImage, In press [Additional Code]
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Gadgil S et al.: Spatio-Temporal Graph Convolution for Functional MRI Analysis, Medical Image Computing and Computer-Assisted Intervention, In press
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Lu M et al.: Vision-based Estimation of MDS-UPDRSGait Scoresfor Assessing Parkinson’s Disease Motor Severity , Medical Image Computing and Computer-Assisted Intervention, In press
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Ayub R et al.: Inpainting Cropped Diffusion MRI using Deep Generative Models, 3rd Workshop on Predictive Intelligence in Medicine, Springer, Lecture Notes in Computer Science, In press
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Adeli et al.: Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection, IEEE Transactions on Pattern Analysis And Machine Intelligence, 2020
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Adeli et al.: Novel Machine Learning Identifies Brain Patterns Distinguishing Diagnostic Membership of Human Immunodeficiency Virus, Alcoholism, and Their Comorbidity of Individuals, Biological Psychiatry: CNNI, 2019
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Zhao et al.: Confounder-Aware Visualization of ConvNets, International Workshop on Machine Learning in Medical Imaging, 2019
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Zhao et al.: Variational autoencoder with truncated mixture of Gaussians for functional connectivity analysis, International Conference on Information Processing in Medical Imaging, 2019
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Zhao et al.: Longitudinally Consistent Estimates of Intrinsic Functional Networks , Human Brain Mapping, 2019
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Adeli et al.: Chained Regularization for Identifying Brain Patterns Specific to HIV Infection , NeuroImage, 2018
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Adeli et al.: Multi-Label Transduction for Identifying Disease Comorbidity Patterns , Medical Image Computing and Computer Assisted Intervention, 2018
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Zhao et al.: A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity , International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018
Software Packages
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Scalable Informatics for Biomedical Imaging Studies (SIBIS)
SIBIS consists of IT infrastructure for uploading behavioral and imaging data through application programming interfaces to a central biomedical data repository,querying the data through a web interface, a validated workflow to perform qualitycontrol, and a multi-modal image processing pipeline. -
Sviewer
3D+t viewer based on 3D Slicer technology -
BASIS
Development environment accompanying tools for testing and packaging software across platforms and languages -
AtlasCreator
Automatically extracts cohort specific data from set of training images -
GLISTR
First automatic tool for segmenting glioma and healthy tissue from MR brain scans -
SceneView
Graphical browser for scenes saved in 3D Slicer -
Annotation
A tool for annotating medical scans using state-of-the-art 2D and 3D -
Change Tracker
Semi-automatic tool for quantification of the subtle changes in pathology -
EMSegmenter
An advanced MRI segmentation tool