Chen Liu

According to our database, Chen Liu authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images.

Chen Liu, Ke Xu, Liangbo L. Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay Stewart, Jay C. Wang, Luciano V. Del Priore, Smita Krishnaswamy

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images.

Chen Liu, Danqi Liao, Alejandro Parada-Mayorga, Alejandro Ribeiro, Marcello DiStasio, Smita Krishnaswamy

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics.

Xingzhi Sun, Charles Xu, João F. Rocha, Chen Liu, Benjamin Hollander-Bodie, Laney Goldman, Marcello DiStasio, Michael Perlmutter, Smita Krishnaswamy

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds.

Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Chen Liu, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy

CoRR, 2024

ImageFlowNet: Forecasting Multiscale Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images.

Chen Liu, Ke Xu, Liangbo L. Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay Stewart, Jay C. Wang, Luciano V. Del Priore, Smita Krishnaswamy

CoRR, 2024

CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation.

Chen Liu, Matthew Amodio, Liangbo L. Shen, Feng Gao, Arman Avesta, Sanjay Aneja, Jay C. Wang, Luciano V. Del Priore, Smita Krishnaswamy

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy.

Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2022

Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features.

Nanyan Zhu, Chen Liu, Britney Forsyth, Zakary S. Singer, Andrew F. Laine, Tal Danino, Jia Guo

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Deep Learning Identifies Neuroimaging Signatures Of Alzheimer's Disease Using Structural And Synthesized Functional Mri Data.

Nanyan Zhu, Chen Liu, Xinyang Feng, Dipika Sikka, Sabrina J. Gjerswold-Selleck, Scott A. Small, Jia Guo

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features.

Nanyan Zhu, Chen Liu, Zakary S. Singer, Tal Danino, Andrew F. Laine, Jia Guo

CoRR, 2020

Substituting Gadolinium in Brain MRI Using DeepContrast.

Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020