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Xiaoyang Rebecca Li
Xiaoyang Rebecca Li
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Title
Cited by
Cited by
Year
Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks
D Maric, J Jahanipour, XR Li, A Singh, A Mobiny, H Van Nguyen, ...
Nature communications 12 (1), 1550, 2021
552021
Swell-noise attenuation: A deep learning approach
X Zhao, P Lu, Y Zhang, J Chen, X Li
The Leading Edge 38 (12), 934-942, 2019
342019
Phasetime: Deep learning approach to detect nuclei in time lapse phase images
P Yuan, A Rezvan, X Li, N Varadarajan, H Van Nguyen
Journal of clinical medicine 8 (8), 1159, 2019
212019
Few is enough: task-augmented active meta-learning for brain cell classification
P Yuan, A Mobiny, J Jahanipour, X Li, PA Cicalese, B Roysam, VM Patel, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
152020
Seismic compressive sensing by generative inpainting network: toward an optimized acquisition survey
XR Li, N Mitsakos, P Lu, Y Xiao, X Zhao
The Leading Edge 38 (12), 923-933, 2019
52019
Generative Inpainting Network Applications on Seismic Image Compression and Non-Uniform Sampling
XR Li, N Mitsakos, P Lu, Y Xiao, X Zhao
Workshop on Solving Inverse Problems with Deep Networks, NeurIPS, 2019
42019
Attenuating random noise in seismic data by a deep learning approach
X Zhao, P Lu, Y Zhang, J Chen, X Li
arXiv preprint arXiv:1910.12800, 2019
22019
Comparison of feature reduction approaches and classification approaches for pattern recognition
X Li
Available at SSRN 3659735, 2016
22016
A simplified normalization operation for perfect reconstruction from a modified stft
X Li
2014 12th International Conference on Signal Processing (ICSP), 42-45, 2014
12014
ARIA: Adversarially Robust Image Attribution for Content Provenance
M Andriushchenko, XR Li, G Oxholm, T Gittings, T Bui, N Flammarion, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2022
Annotation-Free Deep Learning of Large-Scale Nuclear Segmentation and Spatial Neighborhood Analysis on Multiplexed Fluorescence Images
XR LI
2020
Toward Zero Human Efforts: Iterative Training Framework for Noisy Segmentation Label
XR Li, B Roysam, H Nguyen
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Articles 1–12