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Image Fusion via Vision-Language Model Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen*, Jiangshe Zhang, Peng Wang, Luc Van Gool
tech report, 2024
arXiv
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Equivariant Multi-Modality Image Fusion Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen*, Radu Timofte, Luc Van Gool
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
arXiv
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Sensing Theorems for Unsupervised Learning in Linear Inverse Problems Julián Tachella, Dongdong Chen and Mike E. Davies
Journal of Machine Learning Research (JMLR), 2023
arXiv
pdf (JMLR)
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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 and Julián Tachella
IEEE Signal Processing Magazine (IEEE SPM), 2023
arXiv
pdf (IEEE Xplore)
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Unsupervised Learning From Incomplete Measurements for Inverse Problems Julián Tachella, Dongdong Chen and Mike E. Davies
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022
arXiv
pdf (NeurIPS)
code
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Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements Dongdong Chen†, Julián Tachella† and Mike E. Davies
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Oral, 2022
arXiv
IEEE/CVF
code
talk
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Equivariant Imaging: Learning Beyond the Range Space Dongdong Chen, Julián Tachella and Mike E. Davies
International Conference on Computer Vision (ICCV), Oral, 2021
arXiv
IEEE/CVF
post
code
talk
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Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography Heyi Li, Dongdong Chen, Bill Nailon, Mike Davies and Dave Laurenson
IEEE Transactions on Medical Imaging (IEEE TMI), 2021
pdf (IEEE Xplore)
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Deep Decomposition Learning for Inverse Imaging Problems Dongdong Chen and Mike E. Davies
European Conference on Computer Vision (ECCV), 2020
arXiv
code
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Compressive MRF reconstruction with neural proximal gradient iterations Dongdong Chen, Mike E Davies, and Mohammad Golbabaee
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020
arXiv
ISBI'22 extension
code
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COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography Heyi Li†, Dongdong Chen†, Bill Nailon, Mike Davies and Dave Laurenson
tech report, 2020
arXiv
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An Improved Dual-Channel Network to Eliminate Catastrophic Forgetting Dongbo Liu, Zhenan He, Dongdong Chen and Jian Cheng Lv
IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMCS), accepted in May. 2020
IEEE Xplore
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A Network Framework For Small-Sample Learning Dongbo Liu, Zhenan He, Dongdong Chen and Jian Cheng Lv
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), accepted in Nov. 2019
IEEE Xplore
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Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis Heyi Li†, Dongdong Chen†, Bill Nailon, Mike Davies and Dave Laurenson
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019
pdf
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Deep Fully Convolutional Network for MR Fingerprinting
Dongdong Chen, Mohammad Golbabaee, Pedro A Gómez, Marion I Menzel and Mike E Davies
International Conference on Medical Imaging with Deep Learning (MIDL), 2019
pdf
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Spatio-temporal regularization for deep MR Fingerprinting
Mohammad Golbabaee, Dongdong Chen, Mike E. Davies, Marion I. Menzel and Pedro A. Gomez
International Conference on Medical Imaging with Deep Learning (MIDL), 2019
pdf
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A fully convolutional network for MR Fingerprinting
Dongdong Chen, Mohammad Golbabaee, Pedro A. Gomez, Marion I. Menzel and Mike E. Daveis
The Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS), 2019
arXiv
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Deep learning for Magnetic Resonance Fingerprinting
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gomez, Marion I. Menzel and Mike E. Davies
The Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS), 2019
arXiv
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A Deep Dual-Path Network For Improved Mammogram Image Processing
Heyi Li, Dongdong Chen, Bill Nailon, Mike Davies and Dave Laurenson
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
IEEE Xplore code
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Geometriy of Deep Learning for Magnetic Resonance Fingerprinting
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gomez, Marion I. Menzel and Mike E. Davies
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Oral, 2019
arXiv
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Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine
Dongdong Chen, Jiancheng Lv and Mike E. Daveis
The international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST), 2018
arXiv
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A deep learning approach for Magnetic Resonance Fingerprinting
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gomez, Marion I. Menzel and Mike E. Davies
The international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST), 2018
arXiv
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Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net
Heyi Li, Dongdong Chen, Bill Nailon, Mike Davies and Dave Laurenson
MICCAI Workshop (BIA), 2018. Best Paper Nomination
arXiv
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Graph regularized Restricted Boltzmann Machines
Dongdong Chen, Jian Cheng Lv and Zhang Yi
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), accepted in 2017. SCF Best Student Paper Award
IEEE Xplore
code
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Angle-based Embedding Quality Assessment Method for Manifold Learning
Dongdong Chen, Jiancheng Lv, Jing Yin, Haixian Zhang and Xiaojie Li
Neural Computing & Applications (NCAA), accepted in 2017
pdf
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Unsupervised Multi-Manifold Clustering by Learning Deep Representation
Dongdong Chen, Jiancheng Lv and Zhang Yi
AAAI Workshop, 2017
pdf
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Angle-based Outlier Detection Algorithm with More Stable Relationships
Xiaojie Li, Jian Cheng Lv and Dongdong Chen
The Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES), 2014. Best Student Paper Award
pdf
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A Local Non-negative Pursuit Method for Intrinsic Manifold Structure Preservation
Dongdong Chen, Jian Cheng Lv and Zhang Yi
AAAI Conference on Artificial Intelligence (AAAI), 2014
pdf
code
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