Presentation Slides and Posters
References
[1] Ali, S., Zhou, F., Daul, C., Braden, B., Bailey, A., Realdon, S., Rittscher, J. (2019). Endoscopy artifact detection (EAD 2019) challenge dataset
[2] Daher R, Vasconcelos F, Stoyanov D. A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its Effect on Image Correspondence. Medical Image
Analysis. 2023.
[3] Kawar, B., Elad, M., Ermon, S., & Song, J. (2022). Denoising diffusion restoration models. Advances in Neural Information Processing Systems.
[4] Nichol, A. Q., & Dhariwal, P. (2021, July). Improved denoising diffusion probabilistic models. In International conference on machine learning (pp. 8162-8171). PMLR.