| MMV-net: A multiple measurement vector network for multifrequency electrical impedance tomography Z Chen, J Xiang, PO Bagnaninchi, Y Yang IEEE Transactions on Neural Networks and Learning Systems 34 (11), 8938-8949, 2022 | 41 | 2022 |
| Artificial Intelligence for Surface‐Enhanced Raman Spectroscopy X Bi, L Lin, Z Chen, J Ye Small methods 8 (1), 2301243, 2024 | 40 | 2024 |
| Deep learning based cell imaging with electrical impedance tomography Z Chen, Y Yang, J Jia, P Bagnaninchi 2020 IEEE international instrumentation and measurement technology …, 2020 | 37 | 2020 |
| Structure-aware dual-branch network for electrical impedance tomography in cell culture imaging Z Chen, Y Yang IEEE Transactions on Instrumentation and Measurement 70, 1-9, 2021 | 35 | 2021 |
| Hybrid learning-based cell aggregate imaging with miniature electrical impedance tomography Z Chen, Y Yang, PO Bagnaninchi IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2020 | 34 | 2020 |
| Recent progress and applications of Raman spectrum denoising algorithms in chemical and biological analyses: A review S Fang, S Wu, Z Chen, C He, LL Lin, J Ye TrAC Trends in Analytical Chemistry 172, 117578, 2024 | 29 | 2024 |
| Mask-guided spatial–temporal graph neural network for multifrequency electrical impedance tomography Z Chen, Z Liu, L Ai, S Zhang, Y Yang IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2022 | 20 | 2022 |
| Dual-modal image reconstruction for electrical impedance tomography with overlapping group lasso and Laplacian regularization Z Liu, H Gu, Z Chen, P Bagnaninchi, Y Yang IEEE Transactions on Biomedical Engineering 70 (8), 2362-2373, 2023 | 6 | 2023 |
| When surface-enhanced Raman spectroscopy meets complex biofluids: a new representation strategy for reliable and comprehensive characterization C He, F Liu, J Wang, X Bi, J Pan, W Xue, X Qian, Z Chen, J Ye Analytica Chimica Acta, 342767, 2024 | 5 | 2024 |
| Raman spectroscopy for esophageal tumor diagnosis and delineation using machine learning and the portable Raman spectrometer J Yang, P Xu, S Wu, Z Chen, S Fang, H Xiao, F Hu, L Jiang, L Wang, B Mo, ... Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 124461, 2024 | 5 | 2024 |
| A learning-based 3D EIT image reconstruction method Z Yi, Z Chen, Y Yang arXiv preprint arXiv:2208.14449, 2022 | 5 | 2022 |
| Image Reconstruction for Multi-frequency Electromagnetic Tomography based on Multiple Measurement Vector Model J Xiang, Z Chen, Y Dong, Y Yang 2020 IEEE International Instrumentation and Measurement Technology …, 2020 | 4 | 2020 |
| Surface‐enhanced Raman scattering spatial fingerprinting decodes the digestion behavior of lysosomes in live single cells F Liu, Z Sun, B Li, J Liu, Z Chen, J Ye View, 20240004, 2024 | 3 | 2024 |
| Regularized Shallow Image Prior for Electrical Impedance Tomography Z Liu, Z Chen, Q Wang, S Zhang, Y Yang arXiv preprint arXiv:2303.17735, 2023 | 2 | 2023 |
| Touch and deformation perception of soft manipulators with capacitive e-skins and deep learning D Hu, H Dong, Z Liu, Z Chen, F Giorgio-Serchi, Y Yang IEEE Sensors Journal, 2024 | 1 | 2024 |
| Review of Machine Learning for Bioimpedance Tomography in Regenerative Medicine Z Liu, Z Chen, Y Yang Diverse Perspectives and State-of-the-Art Approaches to the Utilization of …, 2023 | 1 | 2023 |
| 3D CELL CULTURE IMAGING USING HYBRID LEARNING ASSISTED MINIATURE ELECTRICAL IMPEDANCE TOMOGRAPHY Z Chen, Y Yang, P Bagnaninchi TISSUE ENGINEERING PART A 28, S255-S255, 2022 | 1 | 2022 |
| Multiwavelength Surface-Enhanced Raman Scattering Fingerprints of Human Urine for Cancer Diagnosis Y Gu, J Wang, Z Luo, X Luo, LL Lin, S Ni, C Wang, H Chen, Z Su, Y Lu, ... ACS sensors 9 (11), 5999-6010, 2024 | | 2024 |
| Self-Supervised Learning for Generic Raman Spectrum Denoising S Wu, Y Zhang, C He, Z Luo, Z Chen, J Ye Analytical Chemistry, 2024 | | 2024 |
| Point-cloud Transformer for Three-dimensional Electrical Impedance Tomography Z Chen, H Zhang, D Hu, C Tan, Z Liu, Y Yang IEEE Transactions on Instrumentation and Measurement, 2024 | | 2024 |
Yunjie YangAssociate Professor, University of EdinburghGeverifieerd e-mailadres voor ed.ac.uk
