Catie Chang

Orcid: 0000-0003-1541-9579

According to our database1, Catie Chang authored at least 46 papers between 2008 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Reconstructing physiological signals from fMRI across the adult lifespan.
CoRR, 2024

Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology.
CoRR, 2024

2023
Vigilance associates with the low-dimensional structure of fMRI data.
NeuroImage, 2023

Leveraging sinusoidal representation networks to predict fMRI signals from EEG.
CoRR, 2023

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Moving beyond the 'CAP' of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping.
NeuroImage, 2022

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.
CoRR, 2022

Capture Agent Free Biosensing using Porous Silicon Arrays and Machine Learning.
CoRR, 2022

Learning Subject-Specific Functional Parcellations from Cortical Surface Measures.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

2021
Reconstruction of respiratory variation signals from fMRI data.
NeuroImage, 2021

State-related neural influences on fMRI connectivity estimation.
NeuroImage, 2021

Evidence for modulation of EEG microstate sequence by vigilance level.
NeuroImage, 2021

Using multiband multi-echo imaging to improve the robustness and repeatability of co-activation pattern analysis for dynamic functional connectivity.
NeuroImage, 2021

Compound Figure Separation of Biomedical Images with Side Loss.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Analysis of stimulus-induced brain dynamics during naturalistic paradigms.
NeuroImage, 2020

Resting-state "physiological networks".
NeuroImage, 2020

PRAGMA: Interactively Constructing Functional Brain Parcellations.
Proceedings of the 31st IEEE Visualization Conference, 2020

Association between fMRI brain entropy features and behavioral measures.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2018
Contribution of systemic vascular effects to fMRI activity in white matter.
NeuroImage, 2018

Co-activation patterns in resting-state fMRI signals.
NeuroImage, 2018

Corrigendum to "Mapping the end-tidal CO2 response function in the resting-state BOLD fMRI signal: Spatial specificity, test-retest reliability and effect of fMRI sampling rate.".
NeuroImage, 2018

Template-based prediction of vigilance fluctuations in resting-state fMRI.
NeuroImage, 2018

Mapping and interpreting the dynamic connectivity of the brain.
NeuroImage, 2018

Inter-subject phase synchronization for exploratory analysis of task-fMRI.
NeuroImage, 2018

Deep learning of resting state networks from independent component analysis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2015
Arousal transitions in sleep, wakefulness, and anesthesia are characterized by an orderly sequence of cortical events.
NeuroImage, 2015

Mapping the end-tidal CO<sub>2</sub> response function in the resting-state BOLD fMRI signal: Spatial specificity, test-retest reliability and effect of fMRI sampling rate.
NeuroImage, 2015

Introducing co-activation pattern metrics to quantify spontaneous brain network dynamics.
NeuroImage, 2015

2014
Connectivity trajectory across lifespan differentiates the precuneus from the default network.
NeuroImage, 2014

The Importance of Physiological Noise Regression in High Temporal Resolution fMRI.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
A novel approach for global noise reduction in resting-state fMRI: APPLECOR.
NeuroImage, 2013

The impact of "physiological correction" on functional connectivity analysis of pharmacological resting state fMRI.
NeuroImage, 2013

Dynamic functional connectivity: Promise, issues, and interpretations.
NeuroImage, 2013

Association between heart rate variability and fluctuations in resting-state functional connectivity.
NeuroImage, 2013

EEG correlates of time-varying BOLD functional connectivity.
NeuroImage, 2013

2011
Resting-state fMRI can reliably map neural networks in children.
NeuroImage, 2011

2010
Time-frequency dynamics of resting-state brain connectivity measured with fMRI.
NeuroImage, 2010

Neural Basis of Repetition Priming during Mathematical Cognition: Repetition Suppression or Repetition Enhancement?
J. Cogn. Neurosci., 2010

2009
Development, validation, and comparison of ICA-based gradient artifact reduction algorithms for simultaneous EEG-spiral in/out and echo-planar fMRI recordings.
NeuroImage, 2009

Effects of model-based physiological noise correction on default mode network anti-correlations and correlations.
NeuroImage, 2009

Relationship between respiration, end-tidal CO<sub>2</sub>, and BOLD signals in resting-state fMRI.
NeuroImage, 2009

Influence of heart rate on the BOLD signal: The cardiac response function.
NeuroImage, 2009

2008
Mapping and correction of vascular hemodynamic latency in the BOLD signal.
NeuroImage, 2008


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