A Local Non-Negative Pursuit Method for Intrinsic Manifold Structure Preservation. - Dongdong Chen 004; Jian Cheng Lv 001; Zhang Yi 001 (AAAI, 2014)

Unsupervised Multi-Manifold Clustering by Learning Deep Representation. - Dongdong Chen 004; Jiancheng Lv 001; Yi Zhang (AAAI Workshops, 2017)

Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; David Laurenson (RAMBO+BIA+TIA@MICCAI, 2018)

Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine. - Dongdong Chen 004; Jiancheng Lv 001; Mike E. Davies 001 (CoRR, 2018)

A deep learning approach for Magnetic Resonance Fingerprinting. - Mohammad Golbabaee; Dongdong Chen 004; Pedro A. Gómez; Marion I. Menzel; Mike E. Davies 001 (CoRR, 2018)

Graph Regularized Restricted Boltzmann Machine. - Dongdong Chen 004; Jiancheng Lv 001; Zhang Yi 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Geometry of Deep Learning for Magnetic Resonance Fingerprinting. - Mohammad Golbabaee; Dongdong Chen 004; Pedro A. Gómez; Marion I. Menzel; Mike E. Davies 001 (ICASSP, 2019)

A Deep Dual-path Network for Improved Mammogram Image Processing. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; Dave Laurenson (ICASSP, 2019)

Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; David I. Laurenson (MICCAI (6), 2019)

Angle-based embedding quality assessment method for manifold learning. - Dongdong Chen 004; Jiancheng Lv 001; Jing Yin; Haixian Zhang; Xiaojie Li 001 (Neural Comput. Appl., 2019)

Deep Decomposition Learning for Inverse Imaging Problems. - Dongdong Chen 004; Mike E. Davies 001 (ECCV (28), 2020)

Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations. - Dongdong Chen 004; Mike E. Davies 001; Mohammad Golbabaee (MICCAI (2), 2020)

COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; David Laurenson (CoRR, 2020)

A Network Framework for Small-Sample Learning. - Dongbo Liu; Zhenan He 001; Dongdong Chen 004; Jiancheng Lv 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Equivariant Imaging: Learning Beyond the Range Space. - Dongdong Chen 004; Julián Tachella; Mike E. Davies 001 (ICCV, 2021)

Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. - Dongdong Chen 004; Julián Tachella; Mike E. Davies 001 (CVPR, 2022)

Deep Unrolling for Magnetic Resonance Fingerprinting. - Dongdong Chen 004; Mike E. Davies 001; Mohammad Golbabaee (ISBI, 2022)

Unsupervised Learning From Incomplete Measurements for Inverse Problems. - Julián Tachella; Dongdong Chen 004; Mike E. Davies 001 (NeurIPS, 2022)

Sampling Theorems for Learning from Incomplete Measurements. - Julián Tachella; Dongdong Chen 004; Mike E. Davies 001 (CoRR, 2022)

Sampling Theorems for Unsupervised Learning in Linear Inverse Problems. - Julián Tachella; Dongdong Chen 004; Mike E. Davies 001 (CoRR, 2022)

Imaging with Equivariant Deep Learning. - Dongdong Chen 004; Mike E. Davies 001; Matthias J. Ehrhardt; Carola-Bibiane Schönlieb; Ferdia Sherry; Julián Tachella (CoRR, 2022)

Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; David I. Laurenson (IEEE Trans. Medical Imaging, 2022)

An Improved Dual-Channel Network to Eliminate Catastrophic Forgetting. - Dongbo Liu; Zhenan He 001; Dongdong Chen 004; Jiancheng Lv 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Traffic Video Object Detection using Motion Prior. - Lihao Liu; Yanqi Cheng; Dongdong Chen 004; Jing He; Pietro Liò; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2023)

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. - Lihao Liu; Yanqi Cheng; Zhongying Deng; Shujun Wang; Dongdong Chen 004; Xiaowei Hu 001; Pietro Liò; Carola-Bibiane Schönlieb; Angelica E. Avilés-Rivero (CoRR, 2023)

Sensing Theorems for Unsupervised Learning in Linear Inverse Problems. - Julián Tachella; Dongdong Chen 004; Mike E. Davies 001 (J. Mach. Learn. Res., 2023)

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. - Dongdong Chen 004; Mike E. Davies 001; Matthias J. Ehrhardt; Carola-Bibiane Schönlieb; Ferdia Sherry; Julián Tachella (IEEE Signal Process. Mag., 2023)

Neural Boneprint: Person Identification from Bones Using Generative Contrastive Deep Learning. - Chaoqun Niu; Dongdong Chen 004; Jizhe Zhou; Jian Wang 124; Xiang Luo; Quan-Hui Liu; Yuan Li; Jiancheng Lv 001 (ACM Multimedia, 2024)

Diffusion Posterior Proximal Sampling for Image Restoration. - Hongjie Wu; Linchao He; Mingqin Zhang; Dongdong Chen 004; Kunming Luo; Mengting Luo; Jizhe Zhou; Hu Chen 002; Jiancheng Lv 001 (ACM Multimedia, 2024)

Self-supervised Domain Adaptation with Significance-Oriented Masking for Pelvic Organ Prolapse detection. - Shichang Li; Hongjie Wu; Chenwei Tang; Dongdong Chen 004; Yueyue Chen; Ling Mei; Fan Yang; Jiancheng Lv 001 (Pattern Recognit. Lett., 2024)