Anas Z. Abidin

Orcid: 0000-0003-0032-0664

According to our database1, Anas Z. Abidin authored at least 37 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Health system-scale language models are all-purpose prediction engines.
Nat., 2023

2022
Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting.
npj Digit. Medicine, 2022

Exploring directed network connectivity in complex systems using large-scale augmented Granger causality (lsAGC).
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Inferring functional relations from synthetic fMRI data using large-scale Nonlinear Granger Causality (lsNGC).
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Relation Discovery in Nonlinearly Related Large-Scale Settings.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Network connectivity analysis in complex systems using large-scale non-linear Granger causality (lsNGC).
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020
Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data.
CoRR, 2020

2019
Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI.
Comput. Biol. Medicine, 2019

Detecting connectivity changes in autism spectrum disorder using large-scale Granger causality.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Automated identification of thoracic pathology from chest radiographs with enhanced training pipeline.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Classification of autism spectrum disorder from resting-state fMRI with mutual connectivity analysis.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

Investigating a quantitative radiomics approach for brain tumor classification.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018
Mutual connectivity analysis of resting-state functional MRI data with local models.
NeuroImage, 2018

Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage.
Comput. Biol. Medicine, 2018

Regional autonomy changes in resting-state functional MRI in patients with HIV associated neurocognitive disorder.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

MRI tumor segmentation with densely connected 3D CNN.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Identification and functional characterization of HIV-associated neurocognitive disorders with large-scale Granger causality analysis on resting-state functional MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Investigating large-scale Granger causality analysis in presence of noise and varying sampling rate.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Resilient modular small-world directed brain networks in healthy subjects with large-scale Granger causality analysis of resting-state functional MRI.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Investigating directed functional connectivity between the resting state networks of the human brain using mutual connectivity analysis.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

2017
Identifying HIV associated neurocognitive disorder using large-scale Granger causality analysis on resting-state functional MRI.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Investigating changes in resting-state connectivity from functional MRI data in patients with HIV associated neurocognitive disorder using MCA and machine learning.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

Using large-scale Granger causality to study changes in brain network properties in the Clinically Isolated Syndrome (CIS) stage of multiple sclerosis.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

2016
Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Assessing vertebral fracture risk on volumetric quantitative computed tomography by geometric characterization of trabecular bone structure.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Mutual connectivity analysis (MCA) using generalized radial basis function neural networks for nonlinear functional connectivity network recovery in resting-state functional MRI.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

Large-scale Granger causality analysis on resting-state functional MRI.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

Investigating changes in brain network properties in HIV-associated neurocognitive disease (HAND) using mutual connectivity analysis (MCA).
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

Detecting altered connectivity patterns in HIV associated neurocognitive impairment using mutual connectivity analysis.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2015
Functional connectivity analysis in resting state fMRI with echo-state networks and non-metric clustering for network structure recovery.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Nonlinear functional connectivity network recovery in the human brain with mutual connectivity analysis (MCA): convergent cross-mapping and non-metric clustering.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Investigating the use of mutual information and non-metric clustering for functional connectivity analysis on resting-state functional MRI.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Characterizing trabecular bone structure for assessing vertebral fracture risk on volumetric quantitative computed tomography.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Volumetric characterization of human patellar cartilage matrix on phase contrast x-ray computed tomography.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015


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