Dongdong Chen

According to our database, Dongdong Chen authored at least 27 papers between 2014 and 2023.

Collaborative distances:

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

2023

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning.

Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella

IEEE Signal Process. Mag., 2023

Sensing Theorems for Unsupervised Learning in Linear Inverse Problems.

Julián Tachella, Dongdong Chen, Mike E. Davies

J. Mach. Learn. Res., 2023

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.

Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero

CoRR, 2023

Traffic Video Object Detection using Motion Prior.

Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2023

2022

An Improved Dual-Channel Network to Eliminate Catastrophic Forgetting.

Dongbo Liu, Zhenan He, Dongdong Chen, Jiancheng Lv

IEEE Trans. Syst. Man Cybern. Syst., 2022

Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson

IEEE Trans. Medical Imaging, 2022

Imaging with Equivariant Deep Learning.

Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella

CoRR, 2022

Sampling Theorems for Unsupervised Learning in Linear Inverse Problems.

Julián Tachella, Dongdong Chen, Mike E. Davies

CoRR, 2022

Sampling Theorems for Learning from Incomplete Measurements.

Julián Tachella, Dongdong Chen, Mike E. Davies

CoRR, 2022

Unsupervised Learning From Incomplete Measurements for Inverse Problems.

Julián Tachella, Dongdong Chen, Mike E. Davies

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Unrolling for Magnetic Resonance Fingerprinting.

Dongdong Chen, Mike E. Davies, Mohammad Golbabaee

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements.

Dongdong Chen, Julián Tachella, Mike E. Davies

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Equivariant Imaging: Learning Beyond the Range Space.

Dongdong Chen, Julián Tachella, Mike E. Davies

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

A Network Framework for Small-Sample Learning.

Dongbo Liu, Zhenan He, Dongdong Chen, Jiancheng Lv

IEEE Trans. Neural Networks Learn. Syst., 2020

COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson

CoRR, 2020

Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations.

Dongdong Chen, Mike E. Davies, Mohammad Golbabaee

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Decomposition Learning for Inverse Imaging Problems.

Dongdong Chen, Mike E. Davies

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Angle-based embedding quality assessment method for manifold learning.

Dongdong Chen, Jiancheng Lv, Jing Yin, Haixian Zhang, Xiaojie Li

Neural Comput. Appl., 2019

Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Deep Dual-path Network for Improved Mammogram Image Processing.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson

Proceedings of the IEEE International Conference on Acoustics, 2019

Geometry of Deep Learning for Magnetic Resonance Fingerprinting.

Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Graph Regularized Restricted Boltzmann Machine.

Dongdong Chen, Jiancheng Lv, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., 2018

A deep learning approach for Magnetic Resonance Fingerprinting.

Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies

CoRR, 2018

Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine.

Dongdong Chen, Jiancheng Lv, Mike E. Davies

CoRR, 2018

Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

2017

Unsupervised Multi-Manifold Clustering by Learning Deep Representation.

Dongdong Chen, Jiancheng Lv, Yi Zhang

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2014

A Local Non-Negative Pursuit Method for Intrinsic Manifold Structure Preservation.

Dongdong Chen, Jian Cheng Lv, Zhang Yi

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014