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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
77
Citations
23679
World Ranking
1272
National Ranking
34

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Dagan Feng is affiliated with the University of Sydney in Australia. Their research primarily intersects the fields of Medicine and Computer Science, with a notable concentration on Radiology, Nuclear Medicine and Imaging, as well as subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, and Pulmonary and Respiratory Medicine.

Their publication record includes frequent contributions to several scholarly venues. Notably, Dagan Feng has published extensively in:

  • arXiv (Cornell University)
  • IEEE Journal of Biomedical and Health Informatics
  • IEEE Transactions on Medical Imaging
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Industrial Informatics

The main research topics addressed by their work include:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Medical Imaging Techniques and Applications
  • Medical Image Segmentation Techniques
  • Advanced Neural Network Applications
  • Medical Imaging and Analysis
  • Lung Cancer Diagnosis and Treatment

Dagan Feng has collaborated frequently with several co-authors in the field. The most frequent collaborators are:

  • Jinman Kim (66 joint publications)
  • Lei Bi (43 joint publications)
  • Michael Fulham (30 joint publications)
  • Mingyuan Meng (24 joint publications)
  • Bin Sheng (16 joint publications)

Among their recent publications are:

  • "EAPT: Efficient Attention Pyramid Transformer for Image Processing," 2021, IEEE Transactions on Multimedia
  • "Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network," 2021, IEEE Transactions on Industrial Informatics
  • "A Residual Based Attention Model for EEG Based Sleep Staging," 2020, IEEE Journal of Biomedical and Health Informatics
  • "OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation," 2020, IEEE Transactions on Image Processing
  • "Automated Decision Support System for Lung Cancer Detection and Classification via Enhanced RFCN With Multilayer Fusion RPN," 2020, IEEE Transactions on Industrial Informatics

Best Publications

  • Medical image classification with convolutional neural network

    Qing Li;Weidong Cai;Xiaogang Wang;Yun Zhou

  • Accelerating magnetic resonance imaging via deep learning

    Shanshan Wang;Zhenghang Su;Leslie Ying;Xi Peng

  • Fundamentals of Content-Based Image Retrieval

    Fuhui Long;Hongjiang Zhang;David Dagan Feng

  • 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

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

    Yutong Xie;Yong Xia;Jianpeng Zhang;Yang Song

  • EAPT: Efficient Attention Pyramid Transformer for Image Processing

    Xiao Lin;Shuzhou Sun;Wei Huang;Bin Sheng

  • Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer

    Ashnil Kumar;Michael Fulham;Dagan Feng;Jinman Kim

  • Noninvasive Quantification of the Cerebral Metabolic Rate for Glucose Using Positron Emission Tomography, 18F-Fluoro-2-Deoxyglucose, the Patlak Method, and an Image-Derived Input Function

    Kewei Chen;Kewei Chen;Daniel Bandy;Eric Reiman;Sung-Cheng Huang

  • Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks

    Lei Bi;Jinman Kim;Euijoon Ahn;Ashnil Kumar

  • Models for computer simulation studies of input functions for tracer kinetic modeling with positron emission tomography

    Dagan Feng;Sung-Cheng Huang;Xinmin Wang

  • Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images

    Anum Masood;Bin Sheng;Ping Li;Xuhong Hou

  • 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

  • Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network

    Jiajia Li;Jie Chen;Bin Sheng;Ping Li

  • Segmentation of dynamic PET images using cluster analysis

    Koon-Pong Wong;Dagan Feng;S.R. Meikle;M.J. Fulham

  • A technique for extracting physiological parameters and the required input function simultaneously from PET image measurements: theory and simulation study

    Dagan Feng;Koon-Pong Wong;Chi-Ming Wu;Wan-Chi Siu

  • Deep Convolutional Neural Networks for Human Action Recognition Using Depth Maps and Postures

    Aouaidjia Kamel;Bin Sheng;Po Yang;Ping Li

  • Feature-Based Image Patch Approximation for Lung Tissue Classification

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

  • Step-wise integration of deep class-specific learning for dermoscopic image segmentation

    Lei Bi;Jinman Kim;Euijoon Ahn;Ashnil Kumar

  • Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks

    Lei Bi;Jinman Kim;Euijoon Ahn;Dagan Feng

Frequent Co-Authors

Weidong Cai
Weidong Cai University of Sydney
Yang Song
Yang Song California Institute of Technology
Zheru Chi
Zheru Chi Hong Kong Polytechnic University
Yong Xia
Yong Xia Northwestern Polytechnical University
Ron Kikinis
Ron Kikinis Brigham and Women's Hospital
Wan-Chi Siu
Wan-Chi Siu Hong Kong Polytechnic University
Heng Huang
Heng Huang University of Pittsburgh
Yue Wang
Yue Wang Zhejiang University
Ke Yan
Ke Yan University of Sydney
Qian Wang
Qian Wang Shanghai Jiao Tong University

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