91³ÉÈ˰涶Òô
Back to
Mr Md Shariful Alam

Mr Md Shariful Alam

Research Associate
Engineering
Computer Science and Engineering

Md. Shariful Alam is a Postdoctoral researcher in AI for biomedical Image analysis, School of Computer Science andÌý Engineering, University of New South Wales.

Ìý
Mobile
+61460750125
E-mail
md_shariful.alam@unsw.edu.au
Location
K17 Building School of Computer Science and Engineering
  • Journal articles | 2024
    Alam MS; Wang D; Arzhaeva Y; Ende JA; Kao J; Silverstone L; Yates D; Salvado O; Sowmya A, 2024, 'Attention-based multi-residual network for lung segmentation in diseased lungs with custom data augmentation', Scientific Reports, 14,
    Journal articles | 2024
    Alam MS; Wang D; Sowmya A, 2024, 'AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images', Artificial Intelligence in Medicine, 154,
    Journal articles | 2024
    Alam MS; Wang D; Sowmya A, 2024, 'DLA-Net: dual lesion attention network for classification of pneumoconiosis using chest X-ray images', Scientific Reports, 14,
    Journal articles | 2023
    Alam MS; Wang D; Liao Q; Sowmya A, 2023, 'A Multi-Scale Context Aware Attention Model for Medical Image Segmentation', IEEE Journal of Biomedical and Health Informatics, 27, pp. 3731 - 3739,
    Journal articles | 2019
    Rahman SM; Alam MS; Zubair A; Shahriar MH; Hossein M; Alam MS; Hefler M, 2019, 'Graphic health warnings on tobacco packets and containers: compliance status in Bangladesh.', Tob Control, 28, pp. 261 - 267,
    Journal articles | 2016
    Ahmad MM; Rahman SM; Alam MS, 2016, 'From strategy to execution: the case of local climate fund in Bangladesh', International Journal of Environmental Policy and Decision Making, 2, pp. 1 - 1,
  • Conference Papers | 2021
    Alam MS; Wang D; Sowmya A, 2021, 'Bidirectional Convolutional-LSTM based Network for lung segmentation of chest X-ray images', in Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, pp. 915 - 919,
    Conference Papers | 2021
    Alam MS; Wang D; Sowmya A, 2021, 'Image data augmentation for improving performance of deep learning-based model in pathological lung segmentation', in DICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications,

Ìý

Ìý