Dongdong Chen

40 papers A* 6Misc 2Journal 26Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
DeepInverse: A Python package for solving imaging inverse problems with deep learning.
J. Open Source Softw.
Julián Tachella, Matthieu Terris, Samuel Hurault, Andrew Wang, Leo Davy, Jérémy Scanvic, Victor Sechaud, Romain Vo, Thomas Moreau, Thomas Davies, Dongdong Chen, Nils Laurent, Brayan Monroy, Jonathan Dong, Zhiyuan Hu, Minh-Hai Nguyen, Florian Sarron, Pierre Weiss, Paul Escande, Mathurin Massias, Thibaut Modrzyk, Brett Levac, Tobías I. Liaudat, Maxime Song, Johannes Hertrich, Sebastian Neumayer, Georg Schramm
2024 A* conf
Diffusion Posterior Proximal Sampling for Image Restoration.
ACM Multimedia
Hongjie Wu, Linchao He, Mingqin Zhang, Dongdong Chen, Kunming Luo, Mengting Luo, Ji-Zhe Zhou, Hu Chen, Jiancheng Lv
2024 J jnl
Diffusion Posterior Proximal Sampling for Image Restoration.
CoRR
Hongjie Wu, Linchao He, Mingqin Zhang, Dongdong Chen, Kunming Luo, Mengting Luo, Ji-Zhe Zhou, Hu Chen, Jiancheng Lv
2024 A* conf
Neural Boneprint: Person Identification from Bones Using Generative Contrastive Deep Learning.
ACM Multimedia
Chaoqun Niu, Dongdong Chen, Jizhe Zhou, Jian Wang, Xiang Luo, Quan-Hui Liu, Yuan Li, Jiancheng Lv
2024 J jnl
Self-supervised Domain Adaptation with Significance-Oriented Masking for Pelvic Organ Prolapse detection.
Pattern Recognit. Lett.
Shichang Li, Hongjie Wu, Chenwei Tang, Dongdong Chen, Yueyue Chen, Ling Mei, Fan Yang, Jiancheng Lv
2023 J jnl
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning.
IEEE Signal Process. Mag.
Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
2023 J jnl
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems.
J. Mach. Learn. Res.
Julián Tachella, Dongdong Chen, Mike E. Davies
2023 J jnl
Traffic Video Object Detection using Motion Prior.
CoRR
Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2023 J jnl
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.
CoRR
Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2022 J jnl
An Improved Dual-Channel Network to Eliminate Catastrophic Forgetting.
IEEE Trans. Syst. Man Cybern. Syst.
Dongbo Liu, Zhenan He, Dongdong Chen, Jiancheng Lv
2022 — conf
Deep Unrolling for Magnetic Resonance Fingerprinting.
ISBI
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
2022 J jnl
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography.
IEEE Trans. Medical Imaging
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson
2022 J jnl
Imaging with Equivariant Deep Learning.
CoRR
Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
2022 A* conf
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements.
CVPR
Dongdong Chen, Julián Tachella, Mike E. Davies
2022 J jnl
Sampling Theorems for Learning from Incomplete Measurements.
CoRR
Julián Tachella, Dongdong Chen, Mike E. Davies
2022 J jnl
Sampling Theorems for Unsupervised Learning in Linear Inverse Problems.
CoRR
Julián Tachella, Dongdong Chen, Mike E. Davies
2022 A* conf
Unsupervised Learning From Incomplete Measurements for Inverse Problems.
NeurIPS
Julián Tachella, Dongdong Chen, Mike E. Davies
2021 A* conf
Equivariant Imaging: Learning Beyond the Range Space.
ICCV
Dongdong Chen, Julián Tachella, Mike E. Davies
2021 J jnl
Equivariant Imaging: Learning Beyond the Range Space.
CoRR
Dongdong Chen, Julián Tachella, Mike E. Davies
2021 J jnl
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements.
CoRR
Dongdong Chen, Julián Tachella, Mike E. Davies
2020 J jnl
A Network Framework for Small-Sample Learning.
IEEE Trans. Neural Networks Learn. Syst.
Dongbo Liu, Zhenan He, Dongdong Chen, Jiancheng Lv
2020 J jnl
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography.
CoRR
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
2020 — conf
Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations.
MICCAI (2)
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
2020 J jnl
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations.
CoRR
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
2020 — conf
Deep Decomposition Learning for Inverse Imaging Problems.
ECCV (28)
Dongdong Chen, Mike E. Davies
2020 J jnl
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography.
CoRR
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
2019 J jnl
A Deep DUAL-PATH Network for Improved Mammogram Image Processing.
CoRR
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson
2019 Misc conf
A Deep Dual-path Network for Improved Mammogram Image Processing.
ICASSP
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson
2019 J jnl
Angle-based embedding quality assessment method for manifold learning.
Neural Comput. Appl.
Dongdong Chen, Jiancheng Lv, Jing Yin, Haixian Zhang, Xiaojie Li
2019 J jnl
Deep Decomposition Learning for Inverse Imaging Problems.
CoRR
Dongdong Chen, Mike E. Davies
2019 Misc conf
Geometry of Deep Learning for Magnetic Resonance Fingerprinting.
ICASSP
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
2019 — conf
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis.
MICCAI (6)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson
2019 J jnl
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis.
CoRR
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson
2018 J jnl
A deep learning approach for Magnetic Resonance Fingerprinting.
CoRR
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
2018 J jnl
Graph Regularized Restricted Boltzmann Machine.
IEEE Trans. Neural Networks Learn. Syst.
Dongdong Chen, Jiancheng Lv, Zhang Yi
2018 — conf
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net.
RAMBO+BIA+TIA@MICCAI
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
2018 J jnl
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net.
CoRR
Heyi Li, Dongdong Chen, Bill Nailon, Mike E. Davies, Dave Laurenson
2018 J jnl
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine.
CoRR
Dongdong Chen, Jiancheng Lv, Mike E. Davies
2017 — conf
Unsupervised Multi-Manifold Clustering by Learning Deep Representation.
AAAI Workshops
Dongdong Chen, Jiancheng Lv, Yi Zhang
2014 A* conf
A Local Non-Negative Pursuit Method for Intrinsic Manifold Structure Preservation.
AAAI
Dongdong Chen, Jian Cheng Lv, Zhang Yi