Overview
Availability
- Dr Fei Xue is:
- Available for supervision
Qualifications
- Bachelor, Hebei University of Technology
- Masters (Research), Hebei Polytechnic University (河北理工大学)
- Doctor of Philosophy, The University of Queensland
Works
Search Professor Fei Xue’s works on UQ eSpace
2025
Journal Article
The Impact of Dual-Wavefront Propagation of Electromagnetic Waves in Bio-Tissues on Imaging and In-Body Communications
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
2025
Journal Article
Electromagnetic techniques and systems for non-invasive skin cancer detection and classification: current status and future perspectives
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
2025
Journal Article
Integrated boundary-overlap-size metric for local assessment of deep learning methods in medical microwave imaging
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
2025
Other Outputs
Universal deep learning for reliable electromagnetic imaging and detection in inhomogeneous media
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
2025
Conference Publication
Enhanced learning in microwave medical imaging using boundary-overlap-size loss
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
2024
Conference Publication
Evaluation of fully convolutional networks for dielectric profile reconstruction in medical microwave imaging
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
2024
Conference Publication
Attention U-net for binary mask generation in medical microwave imaging
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
2024
Journal Article
Transfer deep learning for dielectric profile reconstruction in microwave medical imaging
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
2023
Journal Article
Training universal deep-learning networks for electromagnetic medical imaging using a large database of randomized objects
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
2023
Conference Publication
Microwave imaging using cascaded convolutional neural networks
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
Supervision
Availability
- Dr Fei Xue is:
- Available for supervision
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Media
Enquiries
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