| Equivariant Multi-Modality Image Fusion Z Zhao, H Bai, J Zhang, Y Zhang, K Zhang, S Xu, D Chen, R Timofte, ... CVPR. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 219 | 2024 |
| Equivariant Imaging: Learning Beyond the Range Space D Chen, J Tachella, ME Davies ICCV, Oral. Proceedings of the IEEE/CVF International Conference on Computer …, 2021 | 158 | 2021 |
| Dual convolutional neural networks for breast mass segmentation and diagnosis in mammography H Li, D Chen, WH Nailon, ME Davies, DI Laurenson IEEE Transactions on Medical Imaging 41 (1), 3-13, 2021 | 114 | 2021 |
| Old photo restoration via deep latent space translation Z Wan, B Zhang, D Chen, P Zhang, D Chen, F Wen, J Liao arXiv preprint arXiv:2004.09484, 2020 | 103 | 2020 |
| Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements D Chen, J Tachella, ME Davies CVPR, Oral. Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2022 | 101 | 2022 |
| Unsupervised multi-manifold clustering by learning deep representation D Chen, J Lv, Z Yi Proceedings of The Thirty-First AAAI Conference on Artificial Intelligence …, 2017 | 99 | 2017 |
| Diverse semantic image synthesis via probability distribution modeling Z Tan, M Chai, D Chen, J Liao, Q Chu, B Liu, G Hua, N Yu arXiv preprint arXiv:2103.06878, 2021 | 95 | 2021 |
| Image Fusion via Vision-Language Model Z Zhao, L Deng, H Bai, Y Cui, Z Zhang, Y Zhang, H Qin, D Chen, J Zhang, ... ICML. Proceedings of the International Conference on Machine Learning., 2024 | 86 | 2024 |
| Graph regularized restricted Boltzmann machine D Chen, J Lv, Z Yi IEEE transactions on neural networks and learning systems (TNNLS) 29 (6 …, 2017 | 66 | 2017 |
| Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net H Li, D Chen, WH Nailon, ME Davies, D Laurenson MICCAI-BIA, Oral, 81-89, 2018 | 61 | 2018 |
| Geometry of deep learning for magnetic resonance fingerprinting M Golbabaee, D Chen, PA Gómez, MI Menzel, ME Davies ICASSP. 2019 IEEE International Conference on Acoustics, Speech and Signal …, 2019 | 57 | 2019 |
| Deep Decomposition Learning for Inverse Imaging Problems D Chen, ME Davies ECCV. Proceedings of the European Conference on Computer Vision., 510-526, 2020 | 51 | 2020 |
| Sensing Theorems for Unsupervised Learning in Linear Inverse Problems J Tachella, D Chen, M Davies Journal of Machine Learning Research (JMLR) 24 (39), 1−45, 2023 | 49* | 2023 |
| Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning D Chen, M Davies, MJ Ehrhardt, CB Schönlieb, F Sherry, J Tachella IEEE Signal Processing Magazine 40 (1), 134 - 147, 2023 | 46 | 2023 |
| DeepInverse: A deep learning framework for inverse problems in imaging J Tachella, D Chen, S Hurault, M Terris, A Wang https://deepinv.github.io, 2023 | 40* | 2023 |
| Unsupervised Learning From Incomplete Measurements for Inverse Problems J Tachella, D Chen, M Davies NeurIPS. Proceedings of The 36th Conference on Neural Information Processing …, 2022 | 38 | 2022 |
| A deep dual-path network for improved mammogram image processing H Li, D Chen, WH Nailon, ME Davies, D Laurenson ICASSP, 1224-1228, 2019 | 30 | 2019 |
| A Network Framework For Small-Sample Learning D Liu, Z He, D Chen, J Lv IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 | 26 | 2019 |
| Compressive mr fingerprinting reconstruction with neural proximal gradient iterations D Chen, ME Davies, M Golbabaee MICCAI, Oral, 13-22, 2020 | 24 | 2020 |
| Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis H Li, D Chen, WH Nailon, ME Davies, DI Laurenson MICCAI, https://link.springer.com/chapter/10.100, 2019 | 20 | 2019 |
mike daviesProfessor of Signal and Image Processing, University of EdinburghVerified email at ed.ac.uk
