Dongdong Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Breast Cancer Diagnosis

Magnetic Resonance

Image Restoration

Supervised Learning

Top Venues

IEEE Trans. Medical Imaging

Publications

Hongjie Wu, Linchao He, Mingqin Zhang, Dongdong Chen, Kunming Luo, Mengting Luo, Jizhe Zhou, Hu Chen, Jiancheng Lv
Diffusion Posterior Proximal Sampling for Image Restoration. CoRR (2024)
Shichang Li, Hongjie Wu, Chenwei Tang, Dongdong Chen, Yueyue Chen, Ling Mei, Fan Yang, Jiancheng Lv
Self-supervised Domain Adaptation with Significance-Oriented Masking for Pelvic Organ Prolapse detection. Pattern Recognit. Lett. 185 (2024)
Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. IEEE Signal Process. Mag. 40 (1) (2023)
Julián Tachella, Dongdong Chen, Mike E. Davies
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems. J. Mach. Learn. Res. 24 (2023)
Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. CoRR (2023)
Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Traffic Video Object Detection using Motion Prior. CoRR (2023)
Julián Tachella, Dongdong Chen, Mike E. Davies
Sampling Theorems for Learning from Incomplete Measurements. CoRR (2022)
Julián Tachella, Dongdong Chen, Mike E. Davies
Sampling Theorems for Unsupervised Learning in Linear Inverse Problems. CoRR (2022)
Dongdong Chen, Julián Tachella, Mike E. Davies
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. CVPR (2022)
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
Deep Unrolling for Magnetic Resonance Fingerprinting. ISBI (2022)
Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
Imaging with Equivariant Deep Learning. CoRR (2022)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. IEEE Trans. Medical Imaging 41 (1) (2022)
Dongdong Chen, Julián Tachella, Mike E. Davies
Equivariant Imaging: Learning Beyond the Range Space. CoRR (2021)
Dongdong Chen, Julián Tachella, Mike E. Davies
Equivariant Imaging: Learning Beyond the Range Space. ICCV (2021)
Dongdong Chen, Julián Tachella, Mike E. Davies
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. CoRR (2021)
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations. CoRR (2020)
Dongdong Chen, Mike E. Davies
Deep Decomposition Learning for Inverse Imaging Problems. ECCV (28) (2020)
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations. MICCAI (2) (2020)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. CoRR (2020)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography. CoRR (2020)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson
A Deep Dual-path Network for Improved Mammogram Image Processing. ICASSP (2019)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. MICCAI (6) (2019)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson
A Deep DUAL-PATH Network for Improved Mammogram Image Processing. CoRR (2019)
Dongdong Chen, Mike E. Davies
Deep Decomposition Learning for Inverse Imaging Problems. CoRR (2019)
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
Geometry of Deep Learning for Magnetic Resonance Fingerprinting. ICASSP (2019)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. CoRR (2019)
Dongdong Chen, Jiancheng Lv, Mike E. Davies
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine. CoRR (2018)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net. RAMBO+BIA+TIA@MICCAI (2018)
Heyi Li, Dongdong Chen, Bill Nailon, Mike E. Davies, Dave Laurenson
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net. CoRR (2018)
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
A deep learning approach for Magnetic Resonance Fingerprinting. CoRR (2018)