Dr Leo Lebrat

2025

• Konate, S., Lebrat, L., Cruz, R. S., Wawira Gichoya, J., Price, B., Seyyed-Kalantari, L., Fookes, C., Bradley, A. & Salvado, O. (2025). Interpretability of AI race detection model in medical imaging with saliency methods. Computational and Structural Biotechnology Journal, 28, 63–70. https://eprints.qut.edu.au/255729

2024

• Salvado, O., Konate, S., Cruz, R. S., Bradley, A., Gichoya, J. W., Seyyed-Kalantari, L., Price, B., Fookes, C. & Lebrat, L. (2024). Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. Proceedings of the 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/251982
• Lebrat, L., Cruz, R. S., Chierchia, R., Arzhaeva, Y., Armin, M. A., Goldsmith, J., Oorloff, J., Reddy, P., Nguyen, C., Petersson, L., Barakat-Johnson, M., Luscombe, G., Fookes, C., Salvado, O. & Ahmedt-Aristizabal, D. (2024). Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. Proceedings of the 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/251984
• Xiao, W., Cruz, R. S., Ahmedt-Aristizabal, D., Salvado, O., Fookes, C. & Lebrat, L. (2024). NeRF Director: Revisiting View Selection in Neural Volume Rendering. Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20742–20751. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/253436
• Xin, B., Young, T., Wainwright, C. E., Blake, T., Lebrat, L., Gaass, T., Benkert, T., Stemmer, A., Coman, D. & Dowling, J. (2024). Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned Pairs. Proceedings of the 7th International Conference on Medical Imaging with Deep Learning (MIDL 2024), 1754–1770. ML Research Press. https://eprints.qut.edu.au/255439

2023

• Peters, J., Lebrat, L., Santa Cruz, R., Nicolson, A., Belous, G., Konate, S., Raniga, P., Dore, V., Bourgeat, P., Mejan-Fripp, J., Fookes, C. & Salvado, O. (2023). DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations. Proceedings of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1958–1968. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/238601
• Lebrat, L., Cruz, R. S., Dorent, R., Yaksic, J. U., Pagnozzi, A., Belous, G., Bourgeat, P., Fripp, J., Fookes, C. & Salvado, O. (2023). Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. Proceedings of the 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/243892
• Konate, S., Lebrat, L., Cruz, R. S., Fookes, C., Bradley, A. & Salvado, O. (2023). Bias Identification with RankPix Saliency. Proceedings of the ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/245411

2022

• Rusak, F., Santa Cruz, R., Lebrat, L., Hlinka, O., Fripp, J., Smith, E., Fookes, C., Bradley, A. P., Bourgeat, P. & other (2022). Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods. Medical Image Analysis, Article 102576, 82. https://eprints.qut.edu.au/235424
• Santa Cruz, R., Lebrat, L., Fu, D., Bourgeat, P., Fripp, J., Fookes, C. & Salvado, O. (2022). CorticalFlow⁺⁺: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 496–505. Springer. https://eprints.qut.edu.au/235625
• Li, S., Bourgeat, P., Lebrat, L., O'Keefe, G., Fripp, J., Villemagne, V. L., Rowe, C. & Dore, V. (2022). Centiloid harmonisation across PET cameras without using paired scan. Alzheimer's and Dementia, 18(S1). https://eprints.qut.edu.au/254390
• Lebrat, L., Nicolson, A., Santa Cruz, R., Belous, G., Koopman, B. & Dowling, J. (2022). CSIRO at ImageCLEFmedical Caption 2022. Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, 1455–1473. Sun SITE Central Europe (CEUR). https://eprints.qut.edu.au/254336

2021

• Lebrat, L., Santa Cruz, R., Fookes, C. & Salvado, O. (2021). MongeNet: Efficient Sampler for Geometric Deep Learning. Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 16659–16668. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/210129
• Konate, S., Lebrat, L., Cruz, R. S., Bourgeat, P., Dore, V., Fripp, J., Bradley, A., Fookes, C. & Salvado, O. (2021). Smocam: Smooth conditional attention mask for 3D-regression models. Proceedings of the 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 362–366. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/212102
• Konate, S., Lebrat, L., Santa Cruz, R., Smith, E., Bradley, A., Fookes, C. & Salvado, O. (2021). A Comparison of Saliency Methods for Deep Learning Explainability. Proceedings of the 2021 Digital Image Computing: Techniques and Applications (DICTA 2021), 1–8. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/228483