World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
10022
World Ranking
6149
National Ranking
2762

Mathematics

D-Index
39
Citations
6659
World Ranking
2195
National Ranking
925

Research.com Recognitions

  • 2014 - ACM Distinguished Member
  • 2011 - ACM Senior Member

Overview

Danny Z. Chen is affiliated with the University of Notre Dame in the United States. Their research spans a broad range of topics within computer science and medicine, with a particular focus on applications involving medical imaging and machine learning.

The main fields of study for Danny Z. Chen include:

  • Computer Science
  • Medicine

Within these fields, they have specialized in several subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Molecular Biology
  • Biomedical Engineering

Their work covers key topics related to medical imaging and machine learning, including:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Advanced Neural Network Applications
  • Medical Image Segmentation Techniques
  • Domain Adaptation and Few-Shot Learning
  • Medical Imaging and Analysis
  • COVID-19 diagnosis using AI

Danny Z. Chen has contributed to an extensive collection of research papers. Notable recent publications include:

  • "D-former: a U-shaped Dilated Transformer for 3D medical image segmentation" (2022) in Neural Computing and Applications
  • "CNS-Native Myeloid Cells Drive Immune Suppression in the Brain Metastatic Niche through Cxcl10" (2020) in Cell
  • "A Deep Learning Approach for Colonoscopy Pathology WSI Analysis: Accurate Segmentation and Classification" (2020) in IEEE Journal of Biomedical and Health Informatics
  • "Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation" (2021) in IEEE Transactions on Medical Imaging
  • "Current and future directions in network biology" (2024) in Bioinformatics Advances

The frequent co-authors collaborating with Danny Z. Chen include:

  • Jintai Chen
  • Yejia Zhang
  • Nishchal Sapkota
  • Jian Wu
  • Yizhe Zhang

Regarding publication outlets, their research has appeared in several venues multiple times, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • Scientific Reports
  • IEEE Journal of Biomedical and Health Informatics

Throughout the academic career, Danny Z. Chen has been recognized with professional distinctions, including the ACM Senior Member in 2011 and ACM Distinguished Member in 2014.

Best Publications

  • Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach

    Kang Li;Xiaodong Wu;D.Z. Chen;M. Sonka

  • Task scheduling and voltage selection for energy minimization

    Yumin Zhang;Xiaobo Sharon Hu;Danny Z. Chen

  • Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

    Lin Yang;Yizhe Zhang;Jianxu Chen;Siyuan Zhang

  • Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images

    Yizhe Zhang;Lin Yang;Jianxu Chen;Maridel Fredericksen

  • Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation

    Jianxu Chen;Lin Yang;Yizhe Zhang;Mark S. Alber

  • Planar Spanners and Approximate Shortest Path Queries among Obstacles in the Plane

    Srinivasa Rao Arikati;Danny Z. Chen;L. Paul Chew;Gautam Das

  • D-former: a U-shaped Dilated Transformer for 3D medical image segmentation

    Unknown

  • Optimal Net Surface Problems with Applications

    Xiaodong Wu;Danny Z. Chen

  • A Hierarchical Graph Network for 3D Object Detection on Point Clouds

    Jintai Chen;Biwen Lei;Qingyu Song;Haochao Ying

  • A framed-quadtree approach for determining Euclidean shortest paths in a 2-D environment

    D.Z. Chen;R.J. Szczerba;J.J. Uhran

  • Determining an Optimal Penetration Among Weighted Regions in Two and Three Dimensions

    Danny Z. Chen;Ovidiu Daescu;Xiaobo Hu;Xiaodong Wu

  • Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation

    Ruiwei Feng;Xiangshang Zheng;Tianxiang Gao;Jintai Chen

  • A Deep Learning Approach for Colonoscopy Pathology WSI Analysis: Accurate Segmentation and Classification

    Ruiwei Feng;Xuechen Liu;Jintai Chen;Danny Z. Chen

  • Three-dimensional visualization and a deep-learning model reveal complex fungal parasite networks in behaviorally manipulated ants.

    Maridel A. Fredericksen;Yizhe Zhang;Missy L. Hazen;Raquel G. Loreto

  • Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

    Xiaowei Xu;Qing Lu;Lin Yang;Sharon Hu

  • Predicting Protein-Protein Interactions from Protein Domains Using a Set Cover Approach

    Chengbang Huang;Faruck Morcos;Simon P. Kanaan;Stefan Wuchty

  • Quantum-dot cellular automata (QCA) circuit partitioning: problem modeling and solutions

    D.A. Antonelli;D.Z. Chen;T.J. Dysart;X.S. Hu

  • Polynomial-time solutions to image segmentation

    Tetsuo Asano;Danny Z. Chen;Naoki Katoh;Takeshi Tokuyama

  • Pursuing a petaflop: point designs for 100 TF computers using PIM technologies

    P.M. Kogge;S.C. Bass;J.B. Brockman;D.Z. Chen

  • Algorithms on Minimizing the Maximum Sensor Movement for Barrier Coverage of a Linear Domain

    Danny Z. Chen;Yan Gu;Jian Li;Haitao Wang

  • Optimization approaches to volumetric modulated arc therapy planning

    Jan Unkelbach;Thomas Bortfeld;David Craft;Markus Alber

  • Iris Recognition Based on Human-Interpretable Features

    Jianxu Chen;Feng Shen;Danny Ziyi Chen;Patrick J. Flynn

  • Simultaneous segmentation of multiple closed surfaces using optimal graph searching

    Kang Li;Steven Millington;Xiaodong Wu;Danny Z. Chen

Frequent Co-Authors

Lin Yang
Lin Yang University of Florida
Xiaobo Sharon Hu
Xiaobo Sharon Hu University of Notre Dame
Mikhail J. Atallah
Mikhail J. Atallah Purdue University West Lafayette
Der-Tsai Lee
Der-Tsai Lee Academia Sinica
Milan Sonka
Milan Sonka University of Iowa
Chaoli Wang
Chaoli Wang University of Notre Dame
Michiel Smid
Michiel Smid Carleton University
Naoki Katoh
Naoki Katoh University of Hyogo
Peter M. Kogge
Peter M. Kogge University of Notre Dame
Michael Niemier
Michael Niemier University of Notre Dame

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