Lei Xiang

About Lei Xiang

Lei Xiang, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at Shanghai Jiao Tong University, specializes in the field of Machine learning, Deep Learning, Pattern Recongnition, Medical Image Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

The autopet challenge: towards fully automated lesion segmentation in oncologic pet/ct imaging

Systems and methods of using self-attention deep learning for image enhancement

Whole-body tumor segmentation of 18f-fdg pet/ct using a cascaded and ensembled convolutional neural networks

Segmenting Head-Neck Tumors on PET Images with 2.5 D-3D Hybrid Models

Multimodal MRI reconstruction assisted with spatial alignment network

Erratum to “Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting”[Oct 19 2364-2374]

Noise-aware standard-dose PET reconstruction using general and adaptive robust loss

Mammographic mass segmentation using multichannel and multiscale fully convolutional networks

Lei Xiang Information

University

Position

___

Citations(all)

2253

Citations(since 2020)

1880

Cited By

1102

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

18

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Lei Xiang Skills & Research Interests

Machine learning

Deep Learning

Pattern Recongnition

Medical Image Analysis

Top articles of Lei Xiang

Systems and methods of using self-attention deep learning for image enhancement

2023/2/2

Whole-body tumor segmentation of 18f-fdg pet/ct using a cascaded and ensembled convolutional neural networks

arXiv preprint arXiv:2210.08068

2022/10/14

Lei Xiang
Lei Xiang

H-Index: 11

Segmenting Head-Neck Tumors on PET Images with 2.5 D-3D Hybrid Models

2022/6/1

Xin Gao
Xin Gao

H-Index: 20

Lei Xiang
Lei Xiang

H-Index: 11

Multimodal MRI reconstruction assisted with spatial alignment network

IEEE Transactions on Medical Imaging

2022/4/1

Erratum to “Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting”[Oct 19 2364-2374]

IEEE Transactions on Medical Imaging

2020/2/3

Noise-aware standard-dose PET reconstruction using general and adaptive robust loss

2020

Mammographic mass segmentation using multichannel and multiscale fully convolutional networks

International Journal of Imaging Systems and Technology

2020/12

Erratum: Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction (IEEE Trans. Biomed. Eng.(2018) 66: 7 (2105-2114

IEEE Transactions on Biomedical Engineering

2020/9

Task decomposition and synchronization for semantic biomedical image segmentation

IEEE Transactions on Image Processing

2020/6/25

Evaluation of deep learning based PET image enhancement method in diagnosis of Lymphoma

2020/5/1

See List of Professors in Lei Xiang University(Shanghai Jiao Tong University)

Co-Authors

academic-engine