Projects per year
Personal profile
Biography
Dana is a Post-doctoral Research Fellow with the Centre for Health Informatics (CHI) at the Australian Institute of Health Innovation, Macquarie University. She is currently working on using artificial intelligence to automate documentation and diagnosis for helping doctors.
She got her Ph.D. from Queensland University of Technology (QUT). Her thesis aimed to expand the robot’s understanding of ongoing and future human actions to assist the human in assembling tasks. She developed deep learning methods based on CNN and LSTM for human action recognition and prediction. Prior to joining the Queensland University of Technology, her research mainly focused on trajectory tracking control of mobile robots such as AUVs.
Research interests
Robotic vision, Deep learning, Machine learning, Autonomous systems, Human-robot collaboration
Education/Academic qualification
Robotics and autonomous systems, PhD, Human action recognition and prediction for robotics applications, Queensland University of Technology
2015 → 2018
Electrical Engineering, BSc, MSc, Isfahan University of Technology
2001 → 2005
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Collaborations and top research areas from the last five years
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Projects
- 1 Finished
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Automated Severity Assessment of COVID-19 based on Clinical and Imaging Data
Liu, S., Quiroz Aguilera, J. & Rezazadegan, D.
1/04/20 → 31/12/21
Project: Research
Research Outputs
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Clinical named entity recognition and relation extraction using natural language processing of medical free text: a systematic review
Fraile Navarro, D., Ijaz, K., Rezazadegan, D., Rahimi-Ardabili, H., Dras, M., Coiera, E. & Berkovsky, S., Sept 2023, In: International Journal of Medical Informatics. 177, p. 1-21 21 p., 105122.Research output: Contribution to journal › Review article › peer-review
Open AccessFile7 Citations (Scopus)248 Downloads (Pure) -
Symbolic and statistical learning approaches to speech summarization: a scoping review
Rezazadegan, D., Berkovsky, S., Quiroz, J. C., Kocaballi, A. B., Wang, Y., Laranjo, L. & Coiera, E., Mar 2022, In: Computer Speech and Language. 72, p. 1-17 17 p., 101305.Research output: Contribution to journal › Review article › peer-review
2 Citations (Scopus) -
Development and validation of a machine learning approach for automated severity assessment of COVID-19 based on clinical and imaging data: retrospective study
Quiroz, J. C., Feng, Y-Z., Cheng, Z-Y., Rezazadegan, D., Chen, P-K., Lin, Q-T., Qian, L., Liu, X-F., Berkovsky, S., Coiera, E., Song, L., Qiu, X., Liu, S. & Cai, X-R., 11 Feb 2021, In: JMIR Medical Informatics. 9, 2, p. 1-14 14 p., e24572.Research output: Contribution to journal › Article › peer-review
Open AccessFile34 Citations (Scopus)346 Downloads (Pure) -
Empirical analysis of Zipf's law, power law, and lognormal distributions in medical discharge reports
Quiroz, J. C., Laranjo, L., Tufanaru, C., Kocaballi, A. B., Rezazadegan, D., Berkovsky, S. & Coiera, E., Jan 2021, In: International Journal of Medical Informatics. 145, p. 1-9 9 p., 104324.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)41 Downloads (Pure) -
Severity assessment and progression prediction of COVID-19 patients based on the LesionEncoder framework and chest CT
Feng, Y-Z., Liu, S., Cheng, Z-Y., Quiroz, J. C., Rezazadegan, D., Chen, P-K., Lin, Q-T., Qian, L., Liu, X-F., Berkovsky, S., Coiera, E., Song, L., Qiu, X-M. & Cai, X-R., 15 Nov 2021, In: Information (Switzerland). 12, 11, p. 1-14 14 p., 471.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Citations (Scopus)59 Downloads (Pure)
Activities
- 1 Membership of committee
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Australian Institute of Health Innovation (Organisational unit)
Mitchell Sarkies (Member), K-lynn Smith (Member), Dana Rezazadegan (Member), Laura Dodds (Member), Amy Nguyen (Member), Elizabeth Austin (Member), Caroline Proctor (Chair) & Chrissy Clay (Chair)
2019 → …Activity: Membership › Membership of committee