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D-Index & Metrics

Computer Science

D-Index
54
Citations
11848
World Ranking
4558
National Ranking
608

Overview

Baiying Lei is affiliated with Shenzhen University in China and has contributed extensively to the fields of Medicine and Computer Science, with a primary focus on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, and Neurology.

The research topics covered by Baiying Lei include:

  • AI in cancer detection
  • Functional Brain Connectivity Studies
  • Brain Tumor Detection and Classification
  • Retinal Imaging and Analysis
  • Medical Image Segmentation Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications

Baiying Lei's publication record includes notable papers such as:

  • Skin lesion segmentation via generative adversarial networks with dual discriminators, 2020, Medical Image Analysis
  • FAT-Net: Feature adaptive transformers for automated skin lesion segmentation, 2021, Medical Image Analysis
  • SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation, 2021, Medical Image Analysis
  • Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision, 2020, IEEE Transactions on Automation Science and Engineering
  • Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification, 2020, IEEE Transactions on Medical Imaging

The scientist has frequently published in venues such as:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • IEEE Transactions on Medical Imaging
  • Expert Systems with Applications
  • IEEE Transactions on Neural Networks and Learning Systems

Co-authorship collaborations include work with:

  • Tianfu Wang
  • Shuqiang Wang
  • Haijun Lei
  • Xiaohua Xiao
  • Peng Yang

Best Publications

  • Deep Learning in Medical Ultrasound Analysis: A Review

    Shengfeng Liu;Yi Wang;Xin Yang;Baiying Lei

  • Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning

    Youyi Song;Ling Zhang;Siping Chen;Dong Ni

  • Deep Learning Framework for Alzheimer’s Disease Diagnosis via 3D-CNN and FSBi-LSTM

    Chiyu Feng;Ahmed Elazab;Peng Yang;Tianfu Wang

  • Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review

    Syed Jamal Safdar Gardezi;Ahmed Elazab;Baiying Lei;Tianfu Wang

  • Skin lesion segmentation via generative adversarial networks with dual discriminators.

    Baiying Lei;Zaimin Xia;Feng Jiang;Xudong Jiang

  • Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features

    Zhen Yu;Xudong Jiang;Feng Zhou;Jing Qin

  • Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images

    Youyi Song;Ee-Leng Tan;Xudong Jiang;Jie-Zhi Cheng

  • SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation.

    Huisi Wu;Wei Wang;Jiafu Zhong;Baiying Lei

  • FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks

    Lingyun Wu;Jie-Zhi Cheng;Shengli Li;Baiying Lei

  • Dense Deconvolutional Network for Skin Lesion Segmentation

    Hang Li;Xinzi He;Feng Zhou;Zhen Yu

  • Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images

    Sihong Chen;Jing Qin;Xing Ji;Baiying Lei

  • Blind and robust audio watermarking scheme based on SVD-DCT

    Bai Ying Lei;Ing Yann Soon;Zhen Li

  • Reversible watermarking scheme for medical image based on differential evolution

    Baiying Lei;Ee-Leng Tan;Siping Chen;Dong Ni

  • Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision

    Shuqiang Wang;Xiangyu Wang;Yong Hu;Yanyan Shen

  • Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment.

    Wen Yu;Baiying Lei;Michael K. Ng;Albert C. Cheung

  • A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei.

    Youyi Song;Ling Zhang;Siping Chen;Dong Ni

  • 3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification

    Yongtao Zhang;Haimei Li;Jie Du;Jing Qin

  • Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification

    Yang Li;Jingyu Liu;Zhenyu Tang;Baiying Lei

  • Robust SVD-Based Audio Watermarking Scheme With Differential Evolution Optimization

    Baiying Lei;Ing Yann Soon;Ee-Leng Tan

  • Relational-Regularized Discriminative Sparse Learning for Alzheimer’s Disease Diagnosis

    Baiying Lei;Peng Yang;Tianfu Wang;Siping Chen

  • A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition

    Baiying Lei;Ing Yann Soon;Zhen Li

  • A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning

    Haijun Lei;Tao Han;Feng Zhou;Zhen Yu

  • Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis

    Shengye Hu;Baiying Lei;Yong Wang;Zhiguang Feng

Frequent Co-Authors

Tianfu Wang
Tianfu Wang Shenzhen University
Dong Ni
Dong Ni Shenzhen University
Feng Zhou
Feng Zhou University of Michigan–Ann Arbor
Jing Qin
Jing Qin Hong Kong Polytechnic University
Kup-Sze Choi
Kup-Sze Choi Hong Kong Polytechnic University
Yanwu Xu
Yanwu Xu South China University of Technology
Xudong Jiang
Xudong Jiang Nanyang Technological University
Yejun He
Yejun He Shenzhen University
Xiang-Gen Xia
Xiang-Gen Xia University of Delaware
Michael K. Ng
Michael K. Ng Hong Kong Baptist University

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