Catie Chang

According to our database, Catie Chang authored at least 48 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment.

Junlin Guo, Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Yu Wang, Shilin Zhao, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo

CoRR, 2024

NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping.

Yamin Li, Ange Lou, Ziyuan Xu, Shengchao Zhang, Shiyu Wang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang

CoRR, 2024

Reconstructing physiological signals from fMRI across the adult lifespan.

Shiyu Wang, Ziyuan Xu, Yamin Li, Mara Mather, Roza G. Bayrak, Catie Chang

CoRR, 2024

Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology.

Junlin Guo, Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo

CoRR, 2024

2023

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

Shengchao Zhang, Sarah E. Goodale, Benjamin P. Gold, Victoria L. Morgan, Dario J. Englot, Catie Chang

NeuroImage, 2023

Leveraging sinusoidal representation networks to predict fMRI signals from EEG.

Yamin Li, Ange Lou, Catie Chang

CoRR, 2023

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics.

Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos

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.

Armin Iraji, Ashkan Faghiri, Zening Fu, Peter V. Kochunov, Bhim M. Adhikari, Aysenil Belger, Judith M. Ford, Sarah C. McEwen, Daniel H. Mathalon, Godfrey D. Pearlson, Steven G. Potkin, Adrian Preda, Jessica A. Turner, Theo G. M. van Erp, Catie Chang, Vincent D. Calhoun

NeuroImage, 2022

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

Tianyuan Yao, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Zuhayr Asad, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Haichun Yang, Catie Chang, Yuankai Huo

CoRR, 2022

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

Simon J. Ward, Tengfei Cao, Xiang Zhou, Catie Chang, Sharon M. Weiss

CoRR, 2022

Learning Subject-Specific Functional Parcellations from Cortical Surface Measures.

Roza G. Bayrak, Ilwoo Lyu, Catie Chang

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

2021

Reconstruction of respiratory variation signals from fMRI data.

Jorge A. Salas, Roza G. Bayrak, Yuankai Huo, Catie Chang

NeuroImage, 2021

State-related neural influences on fMRI connectivity estimation.

Caroline G. Martin, Biyu J. He, Catie Chang

NeuroImage, 2021

Evidence for modulation of EEG microstate sequence by vigilance level.

Marina Krylova, Sarah Alizadeh, Igor Izyurov, Vanessa Teckentrup, Catie Chang, Johan N. van der Meer, Michael Erb, Nils B. Kroemer, Thomas Koenig, Martin Walter, Hamidreza Jamalabadi

NeuroImage, 2021

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

Alexander D. Cohen, Catie Chang, Yang Wang

NeuroImage, 2021

Compound Figure Separation of Biomedical Images with Side Loss.

Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo

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.

Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo

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.

Roza G. Bayrak, Colin B. Hansen, Jorge A. Salas, Nafis Ahmed, Ilwoo Lyu, Yuankai Huo, Catie Chang

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.

Erez Simony, Catie Chang

NeuroImage, 2020

Resting-state "physiological networks".

Jingyuan E. Chen, Laura D. Lewis, Catie Chang, Qiyuan Tian, Nina E. Fultz, Ned A. Ohringer, Bruce R. Rosen, Jonathan R. Polimeni

NeuroImage, 2020

PRAGMA: Interactively Constructing Functional Brain Parcellations.

Roza G. Bayrak, Nhung Hoang, Colin B. Hansen, Catie Chang, Matthew Berger

Proceedings of the 31st IEEE Visualization Conference, 2020

Association between fMRI brain entropy features and behavioral measures.

Shengchao Zhang, Baxter P. Rogers, Victoria L. Morgan, Catie Chang

Proceedings of the Medical Imaging 2020: Image Processing, 2020

A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data.

Roza G. Bayrak, Jorge A. Salas, Yuankai Huo, Catie Chang

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.

Pinar Senay Özbay, Catie Chang, Dante Picchioni, Hendrik Mandelkow, Thomas M. Moehlman, Miranda G. Chappel-Farley, Peter van Gelderen, Jacco A. de Zwart, Jeff H. Duyn

NeuroImage, 2018

Co-activation patterns in resting-state fMRI signals.

Xiao Liu, Nanyin Zhang, Catie Chang, Jeff H. Duyn

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.".

Ali-Mohammad Golestani, Catie Chang, Jonathan B. Kwinta, Yasha B. Khatamian, J. Jean Chen

NeuroImage, 2018

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

Maryam Falahpour, Catie Chang, Chi Wah Wong, Thomas T. Liu

NeuroImage, 2018

Mapping and interpreting the dynamic connectivity of the brain.

Catie Chang, Shella D. Keilholz, Robyn L. Miller, Mark W. Woolrich

NeuroImage, 2018

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

Taylor Bolt, Jason S. Nomi, Shruti Gopal Vij, Catie Chang, Lucina Q. Uddin

NeuroImage, 2018

Deep learning of resting state networks from independent component analysis.

Yi-Yu Chou, Snehashis Roy, Catie Chang, John A. Butman, Dzung L. Pham

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.

Xiao Liu, Toru Yanagawa, David A. Leopold, Catie Chang, Hiroaki Ishida, Naotaka Fujii, Jeff H. Duyn

NeuroImage, 2015

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.

Ali-Mohammad Golestani, Catie Chang, Jonathan B. Kwinta, Yasha B. Khatamian, J. Jean Chen

NeuroImage, 2015

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

Jingyuan E. Chen, Catie Chang, Michael D. Greicius, Gary H. Glover

NeuroImage, 2015

2014

Connectivity trajectory across lifespan differentiates the precuneus from the default network.

Zhi Yang, Catie Chang, Ting Xu, Lili Jiang, Daniel A. Handwerker, F. Xavier Castellanos, Michael P. Milham, Peter A. Bandettini, Xi-Nian Zuo

NeuroImage, 2014

The Importance of Physiological Noise Regression in High Temporal Resolution fMRI.

Norman Scheel, Catie Chang, Amir Madany Mamlouk

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.

Michael Marx, Kim Butts-Pauly, Catie Chang

NeuroImage, 2013

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

Najmeh Khalili-Mahani, Catie Chang, Matthias J. P. van Osch, Ilya M. Veer, Mark A. van Buchem, Albert Dahan, Christian F. Beckmann, Joop M. A. van Gerven, Serge A. R. B. Rombouts

NeuroImage, 2013

Dynamic functional connectivity: Promise, issues, and interpretations.

R. Matthew Hutchison, Thilo Womelsdorf, Elena A. Allen, Peter A. Bandettini, Vince D. Calhoun, Maurizio Corbetta, Stefania Della Penna, Jeff H. Duyn, Gary H. Glover, Javier Gonzalez-Castillo, Daniel A. Handwerker, Shella D. Keilholz, Vesa Kiviniemi, David A. Leopold, Francesco de Pasquale, Olaf Sporns, Martin Walter, Catie Chang

NeuroImage, 2013

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

Catie Chang, Coraline D. Metzger, Gary H. Glover, Jeff H. Duyn, Hans-Jochen Heinze, Martin Walter

NeuroImage, 2013

EEG correlates of time-varying BOLD functional connectivity.

Catie Chang, Zhongming Liu, Michael C. Chen, Xiao Liu, Jeff H. Duyn

NeuroImage, 2013

2011

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

Moriah E. Thomason, Emily L. Dennis, Anand A. Joshi, Shantanu H. Joshi, Ivo D. Dinov, Catie Chang, Melissa L. Henry, Rebecca F. Johnson, Paul M. Thompson, Arthur W. Toga, Gary H. Glover, John D. Van Horn, Ian H. Gotlib

NeuroImage, 2011

2010

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

Catie Chang, Gary H. Glover

NeuroImage, 2010

Neural Basis of Repetition Priming during Mathematical Cognition: Repetition Suppression or Repetition Enhancement?

Valorie N. Salimpoor, Catie Chang, Vinod Menon

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.

Srikanth Ryali, Gary H. Glover, Catie Chang, Vinod Menon

NeuroImage, 2009

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

Catie Chang, Gary H. Glover

NeuroImage, 2009

Relationship between respiration, end-tidal CO₂, and BOLD signals in resting-state fMRI.

Catie Chang, Gary H. Glover

NeuroImage, 2009

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

Catie Chang, John P. Cunningham, Gary H. Glover

NeuroImage, 2009

2008

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

Catie Chang, Moriah E. Thomason, Gary H. Glover

NeuroImage, 2008