World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5704
World Ranking
10291
National Ranking
4317

Overview

Yang Song is affiliated with the California Institute of Technology in the United States. Their research spans the fields of Computer Science and Medicine, with a particular focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biophysics, and Electrical and Electronic Engineering.

Their work covers multiple topics including:

  • AI in cancer detection
  • Advanced Neural Network Applications
  • Cell Image Analysis Techniques
  • Digital Imaging for Blood Diseases
  • Domain Adaptation and Few-Shot Learning
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neuroimaging Techniques and Applications

Yang Song has contributed extensively to academic publications with a particular focus on venues such as:

  • arXiv (Cornell University)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Medical Image Analysis
  • SSRN Electronic Journal
  • bioRxiv (Cold Spring Harbor Laboratory)

They have collaborated frequently with a number of researchers, including:

  • Maurice Pagnucco (37 coauthored papers)
  • Weidong Cai (36 coauthored papers)
  • Chaoyi Zhang (31 coauthored papers)
  • Erik Meijering (25 coauthored papers)
  • Lauren J. O'Donnell (16 coauthored papers)

Notable recent papers by Yang Song include:

  • "SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations", published in 2021 in arXiv (Cornell University)
  • "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", published in 2021 at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "NFN: A novel network followed network for retinal vessel segmentation", published in 2020 in Neural Networks
  • "Network Localization of State and Trait of Auditory Verbal Hallucinations in Schizophrenia", published in 2024 in Schizophrenia Bulletin
  • "PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images", published in 2020 in IEEE Transactions on Medical Imaging

Best Publications

  • Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT

    Yutong Xie;Yong Xia;Jianpeng Zhang;Yang Song

  • Sequential Recommendation with Graph Neural Networks

    Jianxin Chang;Chen Gao;Yu Zheng;Yiqun Hui

  • Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis

    Tiange Xiang;Chaoyi Zhang;Yang Song;Jianhui Yu

  • Feature-Based Image Patch Approximation for Lung Tissue Classification

    Yang Song;Weidong Cai;Yun Zhou;D. D. Feng

  • Learning to Recommend With Multiple Cascading Behaviors

    Chen Gao;Xiangnan He;Dahua Gan;Xiangning Chen

  • NFN+: A novel network followed network for retinal vessel segmentation.

    Yicheng Wu;Yong Xia;Yang Song;Yanning Zhang

  • Multiscale Network Followed Network Model for Retinal Vessel Segmentation

    Yicheng Wu;Yong Xia;Yang Song;Yanning Zhang

  • Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision

    Yicheng Wu;Yong Xia;Yang Song;Donghao Zhang

  • Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images

    Dongnan Liu;Donghao Zhang;Yang Song;Heng Huang

  • 3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images

    Haozhe Jia;Yong Xia;Yang Song;Donghao Zhang

  • Lung Nodule Classification With Multilevel Patch-Based Context Analysis

    Fan Zhang;Yang Song;Weidong Cai;Min-Zhao Lee

  • Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells

    Afaf Tareef;Yang Song;Heng Huang;Dagan Feng

  • Large Margin Local Estimate With Applications to Medical Image Classification

    Yang Song;Weidong Cai;Heng Huang;Yun Zhou

  • Whole brain white matter connectivity analysis using machine learning: An application to autism.

    Fan Zhang;Peter Savadjiev;Weidong Cai;Yang Song

  • Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging

    Haozhe Jia;Yong Xia;Yang Song;Weidong Cai

  • Adapting fisher vectors for histopathology image classification

    Yang Song;Ju Jia Zou;Hang Chang;Weidong Cai

  • BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture

    Tiange Xiang;Chaoyi Zhang;Dongnan Liu;Yang Song

  • Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement

    Unknown

  • Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting

    Dongnan Liu;Donghao Zhang;Yang Song;Fan Zhang

  • PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images

    Dongnan Liu;Donghao Zhang;Yang Song;Fan Zhang

  • A Multistage Discriminative Model for Tumor and Lymph Node Detection in Thoracic Images

    Yang Song;Weidong Cai;Jinman Kim;D. D. Feng

  • Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling

    Afaf Tareef;Yang Song;Heng Huang;Yue Wang

  • Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation

    Afaf Tareef;Yang Song;Weidong Cai;Heng Huang

Frequent Co-Authors

Weidong Cai
Weidong Cai University of Sydney
Dagan Feng
Dagan Feng University of Sydney
Heng Huang
Heng Huang University of Pittsburgh
Yue Wang
Yue Wang Zhejiang University
Yong Xia
Yong Xia Northwestern Polytechnical University
Ron Kikinis
Ron Kikinis Brigham and Women's Hospital
Hanchuan Peng
Hanchuan Peng Southeast University
Wojciech Chrzanowski
Wojciech Chrzanowski University of Sydney
Yogesh Rathi
Yogesh Rathi Brigham and Women's Hospital
Qing Li
Qing Li University of Sydney

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