Artificial intelligence empowered multi-modal biomedical imaging

Project: Research

Development of next-generation multi-modal biomedical imaging using AI

Short title	Development of multi-modal biomedical imaging using AI
Acronym	Development of multi-modal biomedical imaging using AI
Status	Active
Effective start/end date	1/02/24 → 31/01/28

CL-MRI: self-supervised contrastive learning to improve the accuracy of undersampled MRI reconstruction
Ekanayake, M., Chen, Z., Harandi, M., Egan, G. & Chen, Z., Feb 2025, In: Biomedical Signal Processing and Control. 100, 12 p., 107185.
Research output: Contribution to journal › Article › Research › peer-review

Open Access
File
Deep learning based synthesis of MRI, CT and PET: Review and analysis
Dayarathna, S., Islam, K. T., Uribe, S., Yang, G., Hayat, M. & Chen, Z., Feb 2024, In: Medical Image Analysis. 92, 32 p., 103046.
Research output: Contribution to journal › Review Article › Research › peer-review

Open Access
File

32 Citations (Scopus)
Improving Deep Learning MRI Reconstruction with Contrastive Learning Pretraining
Ekanayake, M., Chen, Z., Tafazzoli Harandi, M., Egan, G. F. & Chen, Z., 2024, 2024 IEEE International Symposium on Biomedical Imaging (ISBI). Golemati, S., E. Konofagou, E. & Chouvarda, I. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 4 p. 10635794. (Proceedings - International Symposium on Biomedical Imaging).
Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Project Details