IMAGENDO®

1.   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

2.   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

3.   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

4.   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 2024; 27:5-11. https://doi.org/10.1002/ajum.12368

5.   Deslandes A, Avery JC, Chen H-T, Leonardi M, Condous G, Hull ML. (2023) EP31.15: Artificial Intelligence as a teaching tool for ultrasound in gynecology: a systematic scoping review. Ultrasound in Obstetrics and Gynecology 62:300-300 https://doi.org/10.1002/uog.27211

6.   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

7.   Butler D, Wang H, Zhang Y, To MS, Condous G, Leonardi M, Knox S, Avery J, Hull ML, Carneiro G. The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification*.45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2023; 2023:1-5. doi: 10.1109/EMBC40787.2023.10340504.

8.   H Wang, Y Chen, C Ma, Avery JC, L Hull, G Carneiro. Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023. pp15878-15887 2023

9.   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