IMAGENDO®

1. Deslandes A, Avery JC, Chen H-T, Leonardi M, Knox S, Lo G, O’Hara R, Condous G, Hull ML, Collaborators. Intra- and interobserver agreement of proposed objective transvaginal ultrasound image-quality scoring system for use in artificial intelligence algorithm development. Ultrasound Obstet Gynecol. 2025. https://doi.org/10.1002/uog.29178

3. Zhang Y, Xie Y, Wang H, Avery JC, Hull ML, Carneiro G. A Novel Perspective for Multi-modal Multi-label Skin Lesion Classification arXiv preprint arXiv:2409.1239

4. Wang H ,Butler D, Zhang Y, Avery J, Knox S, Ma C, Hull L, Carneiro G Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis arXiv preprint arXiv:2409.02046

5. Avery J, Yuan Z, Wang H, Leonardi M, Knox S, Deslandes A, To M S, Carneiro G, Condous G, Hull L P-289 Optimising the detection of obliterated Pouch of Douglas for endometriosis diagnosis, by combining unpaired endometriosis ultrasounds and magnetic resonance imaging using Artificial Intelligence Human Reproduction 2024:39(Supp 1) deae108. 656

6. Wang H, Ma C, Liu Y, Chen Y, Tian Y, Avery J, Hull L, Carniero G. Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities Computer Vision and Pattern Recognition (CVPR) 2024 arXiv:2405.07155 https://doi.org/10.48550/arXiv.2405.07155

7.  Deslandes A, Panuccio C, Avery JC, Condous G, Leonardi M, Knox S, Chen H-T, Hull ML. Are sonographers the future ‘gold standard’ in the diagnosis of endometriosis? Sonography. 2024. 1-9 http://doi.org/10.1002/sono.12402

8.    Avery JC, Knox S, Deslandes A, Leonardi M, Lo G, Wang H, Zhang Y, Holdsworth-Carson SJ, Nguyen TT, Conduos G, Carneiro G, Hull ML, Imagendo Study Group. Noninvasive diagnostic imaging for endometriosis part 2: a systematic review of recent developments in magnetic resonance imaging, nuclear medicine and computed tomography. Fertility and Sterility. 2024: 121 (2), 189-211, 2024 https://doi.org/10.1016/j.fertnstert.2023.12.017

9.   Avery JC, Deslandes A, Freger SM, Leondari M, Lo G, Conduos G, Carneiro G, Hull ML, Imagendo Study Group. Noninvasive diagnostic imaging for endometriosis part 1: a systematic review of recent developments in ultrasound, combination imaging, and artificial intelligence. Fertility and Sterility. 2024: 121 (2), 164-188, 2024 https://doi.org/10.1016/j.fertnstert.2023.12.008

10.   Deslandes A, Avery JC, Chen H-T,  Leonardi M, Condous G, Hull ML. Artificial Intelligence as a Teaching Tool for Gynaecological Ultrasound: A Systematic Search and Scoping Review. Australasian Journal of Ultrasound in Medicine 2023; 27:5-11. https://doi.org/10.1002/ajum.12368

11.   Wang H, Ma C, Zhang J, Zhang Y, Avery J,  Hull ML, Carneiro G. Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. In: Greenspan, H., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. MICCAI 2023. Lecture Notes in Computer Science, vol 14223. Springer, Cham. https://doi.org/10.1007/978-3-031-43901-8_21

12.   Wang, H., Chen, Y., Ma, C., Avery, J., Hull, L., & Carneiro, G. (2023). Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15878-15887.

13.   Zhang Y, Wang H, Avery JC. Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. Proceedings of 20th IEEE International Symposium on Biomedical Imaging (ISBI). Cartagena, Colombia, 2023, pp. 1-5, doi: 10.1109/ISBI53787.2023.10230667