Dr Fei Xue
Postdoctoral Research Fellow
School of Electrical Engineering and Computer Science
Journal Articles
Guo, Lei, Sultan, Kamel, Xue, Fei and Abbosh, Amin (2025). The Impact of Dual-Wavefront Propagation of Electromagnetic Waves in Bio-Tissues on Imaging and In-Body Communications. Biosensors, 15 (10) 667, 1-18. doi: 10.3390/bios15100667
Naqvi, Syed Akbar Raza, Rajmohan, Indu Jiji, Xue, Fei, Foong, Damien and Abbosh, Amin (2025). Electromagnetic techniques and systems for non-invasive skin cancer detection and classification: current status and future perspectives. IEEE Transactions on Instrumentation and Measurement, 74 4017524, 1-24. doi: 10.1109/tim.2025.3604920
Xue, Fei, Guo, Lei, Bialkowski, Alina and Abbosh, Amin M. (2025). Integrated boundary-overlap-size metric for local assessment of deep learning methods in medical microwave imaging. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 9 (2), 229-239. doi: 10.1109/jerm.2024.3485250
Yan, Xueli, Xue, Fei, Zhang, Chunyang, Peng, Hao, Huang, Jie, Liu, Feng, Lu, Kejian, Wang, Ruizhe, Shi, Jinwen, Li, Naixu, Chen, Wenshuai and Liu, Maochang (2024). Solar-powered mixed-linker metal-organic frameworks for water harvesting from arid air. Ecomat, 6 (7) e12473, 1-13. doi: 10.1002/eom2.12473
Xue, Fei, Guo, Lei, Bialkowski, Alina and Abbosh, Amin M. (2024). Transfer deep learning for dielectric profile reconstruction in microwave medical imaging. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 8 (4), 344-354. doi: 10.1109/jerm.2024.3402048
Xue, Fei, Guo, Lei, Bialkowski, Alina and Abbosh, Amin (2023). Training universal deep-learning networks for electromagnetic medical imaging using a large database of randomized objects. Sensors, 24 (1) 8, 1-8. doi: 10.3390/s24010008
Conference Papers
Xue, Fei, Guo, Lei and Abbosh, Amin (2025). Enhanced learning in microwave medical imaging using boundary-overlap-size loss. 2025 6th Australian Microwave Symposium (AMS), Gold Coast, QLD, Australia, 10-11 February 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/AMS63679.2025.10937783
Xue, Fei, Guo, Lei, Bialkowski, Alina and Abbosh, Amin (2024). Evaluation of fully convolutional networks for dielectric profile reconstruction in medical microwave imaging. 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy, 14-19 July 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/ap-s/inc-usnc-ursi52054.2024.10686390
Yang, Yankai, Xue, Fei, Guo, Lei and Abbosh, Amin (2024). Attention U-net for binary mask generation in medical microwave imaging. 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy, 14-19 July 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/ap-s/inc-usnc-ursi52054.2024.10686600
Xue, Fei, Guo, Lei and Abbosh, Amin (2023). Microwave imaging using cascaded convolutional neural networks. 5th Australian Microwave Symposium (AMS), Melbourne, Australia, 16-17 February 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ams57822.2023.10062327
Thesis
Xue, Fei (2025). Universal deep learning for reliable electromagnetic imaging and detection in inhomogeneous media. PhD Thesis, School of Electrical Engineering and Computer Science, The University of Queensland. doi: 10.14264/e93ce7d