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2025 Journal Article The Impact of Dual-Wavefront Propagation of Electromagnetic Waves in Bio-Tissues on Imaging and In-Body CommunicationsGuo, 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 |
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2025 Journal Article Electromagnetic techniques and systems for non-invasive skin cancer detection and classification: current status and future perspectivesNaqvi, 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 |
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2025 Journal Article Integrated boundary-overlap-size metric for local assessment of deep learning methods in medical microwave imagingXue, 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 |
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2025 Other Outputs Universal deep learning for reliable electromagnetic imaging and detection in inhomogeneous mediaXue, 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 |
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2025 Conference Publication Enhanced learning in microwave medical imaging using boundary-overlap-size lossXue, 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 |
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2024 Conference Publication Evaluation of fully convolutional networks for dielectric profile reconstruction in medical microwave imagingXue, 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 |
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2024 Conference Publication Attention U-net for binary mask generation in medical microwave imagingYang, 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 |
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2024 Journal Article Transfer deep learning for dielectric profile reconstruction in microwave medical imagingXue, 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 |
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2023 Journal Article Training universal deep-learning networks for electromagnetic medical imaging using a large database of randomized objectsXue, 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 |
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2023 Conference Publication Microwave imaging using cascaded convolutional neural networksXue, 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 |
