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Computer Science

D-Index
53
Citations
11863
World Ranking
4809
National Ranking
143

Overview

Weidong Cai is affiliated with the University of Sydney in Australia. Their research spans multiple fields primarily within computer science and medicine, with a notable focus on radiology, nuclear medicine, and imaging. Their work integrates advanced computational techniques with medical applications.

The main fields of study for Weidong Cai include:

  • Computer Science
  • Medicine

The subfields where they have made significant contributions are:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biophysics
  • Pediatrics, Perinatology and Child Health

Their research focuses on several main topics which are:

  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Advanced Neural Network Applications
  • Cell Image Analysis Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Fetal and Pediatric Neurological Disorders

Frequent co-authors who have collaborated extensively with Weidong Cai include:

  • Dongnan Liu
  • Chaoyi Zhang
  • Lauren J. O'Donnell
  • Yuqian Chen
  • Yogesh Rathi

The predominant venues for publishing Weidong Cai's work are:

  • arXiv (Cornell University)
  • Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Medical Image Analysis
  • bioRxiv (Cold Spring Harbor Laboratory)

Recent papers authored or co-authored by Weidong Cai include:

  • "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "NFN: A novel network followed network for retinal vessel segmentation," 2020, Neural Networks
  • "PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images," 2020, IEEE Transactions on Medical Imaging
  • "Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement," 2022, IEEE Transactions on Multimedia
  • "BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets," 2023, Nature Methods

Best Publications

  • Medical image classification with convolutional neural network

    Qing Li;Weidong Cai;Xiaogang Wang;Yun Zhou

  • Early diagnosis of Alzheimer's disease with deep learning

    Siqi Liu;Sidong Liu;Weidong Cai;Sonia Pujol

  • Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease

    Siqi Liu;Sidong Liu;Weidong Cai;Hangyu Che

  • Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization

    Kamran Ghasedi Dizaji;Amirhossein Herandi;Cheng Deng;Weidong Cai

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

    Yutong Xie;Yong Xia;Jianpeng Zhang;Yang Song

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

    Tiange Xiang;Chaoyi Zhang;Yang Song;Jianhui Yu

  • Robust saliency detection via regularized random walks ranking

    Changyang Li;Yuchen Yuan;Weidong Cai;Yong Xia

  • Content-based medical image retrieval: a survey of applications to multidimensional and multimodality data.

    Ashnil Kumar;Jinman Kim;Weidong Cai;Michael J. Fulham;Michael J. Fulham

  • Feature-Based Image Patch Approximation for Lung Tissue Classification

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

  • 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

  • Reversion Correction and Regularized Random Walk Ranking for Saliency Detection.

    Yuchen Yuan;Changyang Li;Jinman Kim;Weidong Cai

  • Content-based retrieval of dynamic PET functional images

    Weidong Cai;Dagan Feng;R. Fulton

  • DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations

    Yuchen Yuan;Yuchen Yuan;Yi Shi;Changyang Li;Jinman Kim

  • Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders

    Sidong Liu;Weidong Cai;Siqi Liu;Fan Zhang

  • Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model

    Xiao Cai;Feiping Nie;Weidong Cai;Heng Huang

  • Robust, accurate and efficient face recognition from a single training image: A uniform pursuit approach

    Weihong Deng;Jiani Hu;Jun Guo;Weidong Cai

  • Network Pruning via Performance Maximization

    Shangqian Gao;Feihu Huang;Weidong Cai;Heng Huang

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

    Yicheng Wu;Yong Xia;Yang Song;Donghao Zhang

  • 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes

    Siqi Liu;Daguang Xu;S. Kevin Zhou;Thomas Mertelmeier

Frequent Co-Authors

Yang Song
Yang Song California Institute of Technology
Dagan Feng
Dagan Feng University of Sydney
Heng Huang
Heng Huang University of Pittsburgh
Ron Kikinis
Ron Kikinis Brigham and Women's Hospital
Yong Xia
Yong Xia Northwestern Polytechnical University
Yue Wang
Yue Wang Zhejiang University
Hanchuan Peng
Hanchuan Peng Southeast University
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Wojciech Chrzanowski
Wojciech Chrzanowski University of Sydney
Qing Li
Qing Li University of Sydney

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