Đỗ Thanh Hà

Đỗ Thanh Hà, Doctor
Personal page
Function:
Associate Dean of Faculty
Office:
T5-505
VNU mail:
hadt_tct@vnu.edu.vn
Research Fields:
Pattern Recognition and Document Image Analysis, Medical Image Processing , Optimize the computer vision algorithms in autonomous car , Machine Learning , Computer Vision
Education :
  • Doctor, 2010, Informatique, Université de Lorraine, France
  • Master, 2007, Mathematics, VNU Hanoi University of Science
  • Bachelor, 2005, Applied Mathematics and Informatics, VNU Hanoi University of Science
Teaching:
  • Image Processing
  • Programming in C/C++, Java
  • Practicum in Computing
  • Machine Learning
  • Computer Graphics
  • Computer Vision
Science Activities:
  • Program committee member of the some International Conferences
  • Reviewer and Sub-reviewer for some national journal, international conferences and international journals
Awards:
  • 2013 Sigweb DocEng Best Paper Award, Granted by ACM Symposium on Document Engineering
  • 2004 Exemplary female students in information technology
  • 2003 representative for talented and excellent young students of Vietnam National University

Publications

  1. ViHealthNLI: A Dataset for Vietnamese Natural Language Inference in Healthcare. In: Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages@ LREC-COLING 2024. Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages@ LREC-COLING 2024.; 2024. Available at: https://aclanthology.org/2024.sigul-1.48/.
  2. Deep Learning for Table Detection: A Comparative Study on Efficiency with Increased Data. In: International Workshop on ADVANCEs in ICT Infrastructures and Services. International Workshop on ADVANCEs in ICT Infrastructures and Services.; 2024. Available at: https://hal.science/hal-04723957/document.
  3. The U-ReACH Model for Ship Detection over Satellite Imagery. In: 2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). 2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).; 2024. Available at: https://ieeexplore.ieee.org/abstract/document/10661071.
  4. Hannotate: Flexible Annotation for Text Analytics from Anywhere.; 2023. Available at: https://link.springer.com/chapter/10.1007/978-3-031-43458-7_24.
  5. Automated Classification of Lung Injury from X-ray Images using Deep Learning Network. In: 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).; 2022. Available at: https://ieeexplore.ieee.org/abstract/document/9979927.
  6. Supporting thyroid cancer diagnosis based on cell classification over microscopic images. In: 2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). 2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).; 2022. Available at: https://ieeexplore.ieee.org/abstract/document/9924821.
  7. COVID-Net Network and Application on Support Diagnosis COVID-19 over X-ray Images. In: 2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). 2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).; 2022. Available at: https://ieeexplore.ieee.org/abstract/document/9924841.
  8. Generating Vietnamese Language Caption Automatically for Scene Images. In: 2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). 2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).; 2020. Available at: https://ieeexplore.ieee.org/abstract/document/9237773.
  9. Extracting Handwritten Regions In Japanese Document Images. In: 2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). 2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).; 2020. Available at: https://ieeexplore.ieee.org/abstract/document/9237784.
  10. Image Captioning in Vietnamese Language Based on Deep Learning Network. In: Advances in Computational Collective Intelligence: 12th International Conference, ICCCI 2020. Advances in Computational Collective Intelligence: 12th International Conference, ICCCI 2020.; 2020. Available at: https://link.springer.com/chapter/10.1007/978-3-030-63119-2_64.

Đề tài - Dự án

Mã đề tài Ngày bắt đầu Tiêu đề Tình trạng đề tài
QG.23.71 January, 2024 Nghiên cứu ứng dụng học sâu trong hỗ trợ sàng lọc và chẩn đoán ung thư tuyến giáp dựa trên ảnh vi thể tế bao kim nhỏ Chưa nghiệm thu
VINIF.2020.DA14 October, 2020 Developing a system to support fake news detection in online social networks Chưa nghiệm thu
January, 2019 Auto Segmentation the Organs over Medical Images Đã nghiệm thu
QG.18.04 February, 2018 Denoising Images using Sparse Representation and Linear Regression Model Đã nghiệm thu
Falculty of Mathematics, Mechanics and Informatics
VNU University of Science, 334 Nguyễn Trãi, Thanh Xuân, Hà Nội, Việt Nam
Office: (+84) 4 38 58 11 35, Computer lab: (+84) 4 38 58 15 30