The University of Queensland

Elucidating Discrepancy in Explanations of Predictive Models Developed Using EMR

Brankovic, Aida, Huang, Wenjie, Cook, David, Khanna, Sankalp and Bialkowski, Konstanty (2024). Elucidating Discrepancy in Explanations of Predictive Models Developed Using EMR. Studies in Health Technology and Informatics. IOS Press. doi: 10.3233/shti231088

Towards Accurate Search for Neonatal Heartbeat: Weighted Algorithm for Reliable ECG Analysis of Premature Infants

Rahman, Jessica, Brankovic, Aida, Tracy, Mark, Halliday, Robert and Khanna, Sankalp (2024). Towards Accurate Search for Neonatal Heartbeat: Weighted Algorithm for Reliable ECG Analysis of Premature Infants. Studies in Health Technology and Informatics. IOS Press. doi: 10.3233/shti230960

Clinical electromagnetic brain scanner

Abbosh, Amin, Bialkowski, Konstanty, Guo, Lei, Al-Saffar, Ahmed, Zamani, Ali, Trakic, Adnan, Brankovic, Aida, Bialkowski, Alina, Zhu, Guohun, Cook, David and Crozier, Stuart (2024). Clinical electromagnetic brain scanner. Scientific Reports, 14 (1) 5760. doi: 10.1038/s41598-024-55360-7

Predicting disengagement to better support outcomes in a web-based weight loss program using machine learning models: cross-sectional study

Brankovic, Aida, Hendrie, Gilly A, Baird, Danielle L and Khanna, Sankalp (2023). Predicting disengagement to better support outcomes in a web-based weight loss program using machine learning models: cross-sectional study. Journal of Medical Internet Research, 25 e43633, 1-14. doi: 10.2196/43633

Identifying patients at risk of unplanned re-hospitalisation using statewide electronic health records

Brankovic, Aida, Rolls, David, Boyle, Justin, Niven, Philippa and Khanna, Sankalp (2022). Identifying patients at risk of unplanned re-hospitalisation using statewide electronic health records. Scientific Reports, 12 (1) 16592, 1-12. doi: 10.1038/s41598-022-20907-z

Case Report: preliminary images from an electromagnetic portable brain scanner for diagnosis and monitoring of acute stroke

Cook, David, Brown, Helen, Widanapathirana, Isuravi, Shah, Darshan, Walsham, James, Trakic, Adnan, Zhu, Guohun, Zamani, Ali, Guo, Lei, Brankovic, Aida, Al-Saffar, Ahmed, Stancombe, Anthony, Bialkowski, Alina, Nguyen, Phong, Bialkowski, Konstanty, Crozier, Stuart and Abbosh, Amin (2021). Case Report: preliminary images from an electromagnetic portable brain scanner for diagnosis and monitoring of acute stroke. Frontiers in Neurology, 12 765412, 765412. doi: 10.3389/fneur.2021.765412

Data-driven indicators for the detection and prediction of stuck-pipe events in oil&gas drilling operations

Brankovic, Aida, Matteucci, Matteo, Restelli, Marcello, Ferrarini, Luca, Piroddi, Luigi, Spelta, Andrea and Zausa, Fabrizio (2021). Data-driven indicators for the detection and prediction of stuck-pipe events in oil&gas drilling operations. Upstream Oil and Gas Technology, 7 100043, 1-11. doi: 10.1016/j.upstre.2021.100043

Hepatic steatosis detection using differential effective permittivity

Janani, Azin S., Rezaeieh, Sasan Ahdi, Darvazehban, Amin, Zamani, Ali, Brankovic, Aida, Mohammed, Beadaa, Macdonald, Graeme and Abbosh, Amin M. (2021). Hepatic steatosis detection using differential effective permittivity. IEEE Transactions on Antennas and Propagation, 69 (12), 1-1. doi: 10.1109/tap.2021.3090508

Unsupervised algorithm for brain anomalies localization in electromagnetic imaging

Brankovic, Aida, Zamani, Ali, Trakic, Adnan, Bialkowski, Konstanty, Mohammed, Beadaa, Cook, David, Walsham, James and Abbosh, Amin M. (2020). Unsupervised algorithm for brain anomalies localization in electromagnetic imaging. IEEE Transactions on Computational Imaging, 6 9281116, 1595-1606. doi: 10.1109/tci.2020.3041922

Expedited stroke imaging with electromagnetic polar sensitivity encoding

Trakic, A., Brankovic, A., Zamani, A., Nguyen-Trong, N., Mohammed, B., Stancombe, A., Guo, L., Bialkowski, K. and Abbosh, A. (2020). Expedited stroke imaging with electromagnetic polar sensitivity encoding. IEEE Transactions on Antennas and Propagation, 68 (12) 9103981, 8072-8081. doi: 10.1109/tap.2020.2996810

Wearable electromagnetic belt for steatotic liver detection using multivariate energy statistics

Rezaeieh, Sasan Ahdi, Brankovic, Aida, Janani, Azin, Mohammed, Beadaa, Darvazehban, Amin, Zamani, Ali, Macdonald, Graeme A. and Abbosh, Amin (2020). Wearable electromagnetic belt for steatotic liver detection using multivariate energy statistics. IEEE Access, 8, 1-1. doi: 10.1109/access.2020.3035657

A distributed feature selection algorithm based on distance correlation with an application to microarrays

Brankovic, Aida, Hosseini, Marjan and Piroddi, Luigi (2019). A distributed feature selection algorithm based on distance correlation with an application to microarrays. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16 (6) 8356595, 1802-1815. doi: 10.1109/TCBB.2018.2833482

A distributed feature selection scheme with partial information sharing

Brankovic, Aida and Piroddi, Luigi (2019). A distributed feature selection scheme with partial information sharing. Machine Learning, 108 (11), 2009-2034. doi: 10.1007/s10994-019-05809-y

A feature selection and classification algorithm based on randomized extraction of model populations

Brankovic, Aida, Falsone, Alessandro, Prandini, Maria and Piroddi, Luigi (2018). A feature selection and classification algorithm based on randomized extraction of model populations. IEEE Transactions on Cybernetics, 48 (4), 1151-1162. doi: 10.1109/tcyb.2017.2682418

Fusion of traffic sensors for enhanced road monitoring

Bialkowski, Alina, Bialkowski, Konstanty and Brankovic, Aida (2021). Fusion of traffic sensors for enhanced road monitoring. 17th ITS Asia Pacific Forum, Brisbane, Australia, 12-15 April 2021.

Electromagnetic based fatty liver detection using machine learning

Brankovic, Aida, Zamani, Ali and Abbosh, Amin (2019). Electromagnetic based fatty liver detection using machine learning. European Conference on Antennas and Propagation , Krakow, Poland, 31 March-5 April 2019. New York, NY, United States: Institute of Electrical and Electronics Engineers.