| 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 | 78 | 2017 |
| Graph regularized restricted Boltzmann machine D Chen, J Lv, Z Yi IEEE transactions on neural networks and learning systems (TNNLS) 29 (6 …, 2017 | 63 | 2017 |
| 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 | 61 | 2021 |
| Equivariant Imaging: Learning Beyond the Range Space D Chen, J Tachella, ME Davies Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 59 | 2021 |
| Passport-aware normalization for deep model protection J Zhang, D Chen, J Liao, W Zhang, G Hua, N Yu Advances in Neural Information Processing Systems 33, 22619-22628, 2020 | 59 | 2020 |
| 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 | 53 | 2020 |
| Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net H Li, D Chen, WH Nailon, ME Davies, D Laurenson Image Analysis for Moving Organ, Breast, and Thoracic Images, 81-89, 2018 | 50 | 2018 |
| Geometry of deep learning for magnetic resonance fingerprinting M Golbabaee, D Chen, PA Gómez, MI Menzel, ME Davies ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 48 | 2019 |
| Deep Decomposition Learning for Inverse Imaging Problems D Chen, ME Davies Proceedings of the European Conference on Computer Vision (ECCV), 510-526, 2020 | 35 | 2020 |
| Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements D Chen, J Tachella, ME Davies Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 33 | 2022 |
| A deep dual-path network for improved mammogram image processing H Li, D Chen, WH Nailon, ME Davies, D Laurenson ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 25 | 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 | 20 | 2019 |
| Compressive mr fingerprinting reconstruction with neural proximal gradient iterations D Chen, ME Davies, M Golbabaee Proceedings of the 23rd International Conference on Medical Image Computing …, 2020 | 16 | 2020 |
| Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis H Li, D Chen, WH Nailon, ME Davies, DI Laurenson Proceedings of the 22nd International Conference on Medical Image Computing …, 2019 | 16 | 2019 |
| 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 | 15* | 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 | 15 | 2023 |
| Double-Dose adenovirus-mediated adjuvant gene therapy improves liver transplantation outcomes in patients with advanced hepatocellular carcinoma R Zhu, D Weng, S Lu, D Lin, M Wang, D Chen, J Lv, H Li, F Lv, L Xi, ... Human gene therapy 29 (2), 251-258, 2018 | 14 | 2018 |
| Angle-based outlier detection algorithm with more stable relationships X Li, JC Lv, D Chen Proceedings of the 18th Asia Pacific Symposium on Intelligent and …, 2015 | 14 | 2015 |
| A local non-negative pursuit method for intrinsic manifold structure preservation D Chen, JC Lv, Z Yi Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI), 2014 | 14 | 2014 |
| Unsupervised Learning From Incomplete Measurements for Inverse Problems J Tachella, D Chen, M Davies The 36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 11* | 2022 |
mike daviesProfessor of Signal and Image Processing, University of EdinburghVerified email at ed.ac.uk
