| Reliable deep-learning-based phase imaging with uncertainty quantification Y Xue, S Cheng, Y Li, L Tian Optica 6 (5), 618-629, 2019 | 167 | 2019 |
| Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy S Cheng, S Fu, YM Kim, W Song, Y Li, Y Xue, J Yi, L Tian Science Advances 7 (3), 2021 | 57 | 2021 |
| Displacement-agnostic coherent imaging through scatter with an interpretable deep neural network Y Li, S Cheng, Y Xue, L Tian Optics Express 29 (2), 2244-2257, 2021 | 39 | 2021 |
| Deep spectral learning for label-free optical imaging oximetry with uncertainty quantification R Liu, S Cheng, L Tian, J Yi Light: Science & Applications 8 (1), 102, 2019 | 27 | 2019 |
| Model and learning-based computational 3D phase microscopy with intensity diffraction tomography A Matlock, Y Xue, Y Li, S Cheng, W Tahir, L Tian 2020 28th European Signal Processing Conference (EUSIPCO), 760-764, 2021 | 3 | 2021 |
| Enhanced Multiscale Human Brain Imaging by Semi-supervised Digital Staining and Serial Sectioning Optical Coherence Tomography L Tian, S Cheng, S Chang, Y Li, A Novoseltseva, S Lin, Y Wu, J Zhu, ... | | 2024 |
| Augmenting Label-Free Imaging Modalities With Deep Learning Based Digital Staining S Cheng Boston University, 2023 | | 2023 |
| Multiplexed cytometry by deep virtual staining from multi-contrast microscopy S Cheng, S Fu, YM Kim, W Song, Y Li, Y Xue, J Yi, L Tian Emerging Topics in Artificial Intelligence (ETAI) 2021 11804, 118041D, 2021 | | 2021 |
| Interpretable deep learning for imaging through scattering medium Y Li, S Cheng, Y Xue, L Tian Emerging Topics in Artificial Intelligence (ETAI) 2021 11804, 118041O, 2021 | | 2021 |
| Deep-learning augmented reflectance microscopy for label-free multiplexed cytometry S Cheng, S Fu, YM Kim, W Song, Y Li, Y Xue, J Yi, L Tian CLEO: Applications and Technology, ATu4L. 3, 2021 | | 2021 |
| Reliable deep-learning-based phase imaging with uncertainty quantification: supplementary material Y Xue, S Cheng, Y Li, L Tian | | 2021 |
| Multiplexed virtual fluorescence labeling from multi-contrast microscopy by deep learning S Cheng, S Fu, YM Kim, J Yi, L Tian High-Speed Biomedical Imaging and Spectroscopy VI 11654, 1165414, 2021 | | 2021 |
| Deep-learning-enabled virtual immunofluorescence staining based on reflectance microscopy S Cheng, S Fu, YM Kim, J Yi, L Tian 2020 IEEE Photonics Conference (IPC), 1-2, 2020 | | 2020 |
| Virtual immunofluorescence staining from reflectance microscopy by deep learning S Cheng, S Fu, YM Kim, J Yi, L Tian Frontiers in Optics, FTu2B. 3, 2020 | | 2020 |
| Coherent imaging through scatter using an interpretable deep neural network Y Li, S Cheng, Y Xue, L Tian Frontiers in Optics, FM7D. 6, 2020 | | 2020 |
| Imaging through diffusers with extended depth-of-field using a deep neural network Y Li, S Cheng, Y Xue, L Tian Imaging Systems and Applications, ITh3E. 2, 2020 | | 2020 |
| Deep-learning-based computational biomedical microscopy with uncertainty quantification L Tian, Y Xue, S Cheng, Y Li, Y Ji CLEO: Applications and Technology, AW3T. 1, 2020 | | 2020 |
| Reliable deep-learning-based phase imaging with uncertainty quantification: erratum Y Xue, S Cheng, Y Li, L Tian Optica 7 (4), 332-332, 2020 | | 2020 |
| Predicting immunofluorescence images from reflectance microscopy via deep learning S Cheng, S Fu, YM Kim, J Yi, L Tian Microscopy Histopathology and Analytics, MTu2A. 5, 2020 | | 2020 |
| Towards reliable deep learning based phase microscopy (Conference Presentation) Y Xue, S Cheng, Y Li, L Tian High-Speed Biomedical Imaging and Spectroscopy V 11250, 1125015, 2020 | | 2020 |
Lei TianBoston University, UC Berkeley, MITVerified email at bu.edu
