Lei Xiang
Orcid: 0000-0002-0763-2313Affiliations:
- Shanghai Jiao Tong University, School of Biomedical Engineering, Shanghai, China
According to our database1,
Lei Xiang authored at least 18 papers
between 2017 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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Bibliography
2022
IEEE Trans. Medical Imaging, 2022
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
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
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