Project Details
| Status | Curtailed |
|---|---|
| Effective start/end date | 1/08/23 → 30/07/26 |
Funding
- ARC Australian Research Council : A$437,254.00
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Attention-Guided Vector Quantized Variational Autoencoder for Brain Tumor Segmentation
Ali, D., Mian, A., Akhtar, N. & Hassan, M., 2026, Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference Daejeon, South Korea, September 23–27, 2025 Proceedings, Part I. Gee, J. C., Alexander, D. C., Hong, J., Iglesias, J. E., Sudre, C. H., Venkataraman, A., Golland, P., Kim, J. H. & Park, J. (eds.). 1 ed. Springer Nature Switzerland AG, p. 66-76 11 p. (Lecture Notes in Computer Science; vol. 15960 LNCS).Research output: Chapter in Book/Conference paper › Conference paper › peer-review
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On the fairness, diversity and reliability of text-to-image generative models
Vice, J., Akhtar, N., Sigal, L., Hartley, R. & Mian, A., Feb 2026, In: Artificial Intelligence Review. 59, 2, 57.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
Manipulating and Mitigating Generative Model Biases Without Retraining
Vice, J., Akhtar, N., Hartley, R. & Mian, A., 2025, Computer Vision – ECCV 2024 Workshops, Proceedings. Del Bue, A., Canton, C., Pont-Tuset, J. & Tommasi, T. (eds.). Switzerland: Springer Science + Business Media, p. 63-79 17 p. (Lecture Notes in Computer Science; vol. 15644 LNCS).Research output: Chapter in Book/Conference paper › Conference paper › peer-review