Lei Xiang
Orcid: 0000-0002-0763-2313
According to our database1,
Lei Xiang
authored at least 39 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
J. Supercomput., February, 2024
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024
2023
MD-IQA: Learning Multi-scale Distributed Image Quality Assessment with Semi Supervised Learning for Low Dose CT.
CoRR, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
IEEE Trans. Medical Imaging, 2022
Whole-body tumor segmentation of 18F -FDG PET/CT using a cascaded and ensembled convolutional neural networks.
CoRR, 2022
Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022
2021
Development characteristics of public-private partnership projects using fuzzy approach in China during 2016-2018.
J. Intell. Fuzzy Syst., 2021
The Performance of Teachers in Quality Courses: An Analysis of the Characteristics of Chinese Teachers' Discourse.
Proceedings of the ICETC 2021: 13th International Conference on Education Technology and Computers, Wuhan, China, October 22, 2021
Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021
Influence of the Color and Logo Position of HNB Products on User Experience Based on Eye Tracking.
Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. AI, Product and Service, 2021
2020
Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting".
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Image Process., 2020
IEEE Trans. Biomed. Eng., 2020
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks.
Int. J. Imaging Syst. Technol., 2020
Characterization and Design of Wideband Penta- and Hepta-Resonance SIW Elliptical Cavity-Backed Slot Antennas.
IEEE Access, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting.
IEEE Trans. Medical Imaging, 2019
Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.
IEEE J. Biomed. Health Informatics, 2019
IEEE Trans. Biomed. Eng., 2019
Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis.
CoRR, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the Ad Hoc Networks - 11th EAI International Conference, 2019
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image.
Medical Image Anal., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution.
Pattern Recognit., 2017
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI.
Neurocomputing, 2017
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image.
CoRR, 2017
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017
2016
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.
IEEE Trans. Medical Imaging, 2016
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016
2015
Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis.
Comput. Medical Imaging Graph., 2015
2014
Stacked Sparse Autoencoder (SSAE) based framework for nuclei patch classification on breast cancer histopathology.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2009
Proceedings of the Fifth International Conference on Semantics, Knowledge and Grid, 2009