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Computer Science

D-Index
34
Citations
6356
World Ranking
12021
National Ranking
759

Overview

Tuan D. Pham is affiliated with Queen Mary University of London in the United Kingdom. Their research intersects the fields of Medicine and Computer Science, with a total of 107 and 83 publications respectively. The scientist's subfields of study include Radiology, Nuclear Medicine and Imaging; Artificial Intelligence; Signal Processing; Computer Vision and Pattern Recognition; and Cognitive Neuroscience.

The primary topics covered in their work encompass Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Advanced Malware Detection Techniques, Anomaly Detection Techniques and Applications, COVID-19 diagnosis using AI, Network Security and Intrusion Detection, and Artificial Intelligence in Healthcare and Education.

Recent significant papers authored by Tuan D. Pham include:

  • Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?, 2020, Health Information Science and Systems
  • A comprehensive study on classification of COVID-19 on computed tomography with pretrained convolutional neural networks, 2020, Scientific Reports

Frequent co-authors include:

  • Vinayakumar Ravi
  • Simon Holmes
  • Paul Coulthard
  • Chuanwen Fan
  • Xiao-Feng Sun

Tuan D. Pham has published primarily in venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Scientific Reports, Ministry of Science and Technology Vietnam, and Europhysics Letters (EPL).

They have contributed to the book titled Advances in Artificial Intelligence, Computation, and Data Science, published by Springer Nature (Netherlands) in 2021.

Best Publications

  • Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition

    Zheru Chi;Hong Yan;Tuan Pham

  • DUNet: A deformable network for retinal vessel segmentation

    Qiangguo Jin;Zhaopeng Meng;Zhaopeng Meng;Tuan D. Pham;Qi Chen

  • Crowdsourcing the creation of image segmentation algorithms for connectomics

    Ignacio Arganda-Carreras;Srinivas C. Turaga;Daniel R. Berger;Dan Cireşan

  • Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?

    Tuan D. Pham

  • A comprehensive study on classification of COVID-19 on computed tomography with pretrained convolutional neural networks

    Tuan D. Pham

  • Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images.

    Vinayakumar Ravi;Harini Narasimhan;Chinmay Chakraborty;Tuan D. Pham

  • A probabilistic measure for alignment-free sequence comparison

    Tuan D. Pham;Johannes Zuegg

  • Fuzzy finite element analysis of a foundation on an elastic soil medium

    S. Valliappan;T. D. Pham

  • How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-experts, and Algorithms

    Danna Gurari;Diane Theriault;Mehrnoosh Sameki;Brett Isenberg

  • Time-frequency time-space LSTM for robust classification of physiological signals

    Tuan D. Pham

  • Unconstrained logo detection in document images

    Tuan D. Pham

  • Attention deep learning‐based large‐scale learning classifier for Cassava leaf disease classification

    Vinayakumar Ravi;Vasundhara Acharya;Tuan D. Pham

  • Human Face Image Recognition

    Ali Reza Mirhosseini;Hong Yan;Kin-Man Lam;Tuan Pham

  • Elasto‐plastic finite element analysis with fuzzy parameters

    S. Valliappan;T. D. Pham

  • Gait Classificaiton in Children with Cerebral Palsy by Bayesian Approach

    Bai-ling Zhang;Yanchun Zhang;T.D. Pham;R.K. Begg

  • Image segmentation using probabilistic fuzzy c-means clustering

    T.D. Pham

  • Fuzzy recurrence plots

    Tuan D. Pham

  • Color image segmentation using fuzzy integral and mountain clustering

    Tuan D. Pham;Hong Yan

  • Integrative analysis of next generation sequencing for small non-coding RNAs and transcriptional regulation in Myelodysplastic Syndromes

    Dominik Beck;Dominik Beck;Steve Ayers;Jianguo Wen;Miriam B. Brandl;Miriam B. Brandl

  • Region Based Parallel Hierarchy Convolutional Neural Network for Automatic Facial Nerve Paralysis Evaluation

    Xin Liu;Yifan Xia;Hui Yu;Junyu Dong

  • Time-Independent Prediction of Burn Depth Using Deep Convolutional Neural Networks.

    Marco Domenico Cirillo;Robin Mirdell;Folke Sjöberg;Tuan D Pham

  • Texture Analysis and Synthesis of Malignant and Benign Mediastinal Lymph Nodes in Patients with Lung Cancer on Computed Tomography.

    Tuan D Pham;Yuzuru Watanabe;Mitsunori Higuchi;Hiroyuki Suzuki

  • Analysis of Microarray Gene Expression Data

    Tuan D. Pham;Christine Wells;Denis I. Crane

Frequent Co-Authors

Xiaobo Zhou
Xiaobo Zhou The University of Texas Health Science Center at Houston
Changming Sun
Changming Sun Commonwealth Scientific and Industrial Research Organisation
Hong Yan
Hong Yan City University of Hong Kong
Michael Wagner
Michael Wagner University of Canberra
Stephen T. C. Wong
Stephen T. C. Wong Houston Methodist
Junyu Dong
Junyu Dong Ocean University of China
Xiaoyi Jiang
Xiaoyi Jiang University of Münster
Robert T. Furbank
Robert T. Furbank Australian National University
Xiuping Jia
Xiuping Jia University of New South Wales
Ran Su
Ran Su Tianjin University

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