13 papers accepted at MICCAI 2021

We are happy to announce that 13 papers of our chair will be presented at the 24rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2021) in Strasbourg, France, September 27 - October 1st, 2021. Due to the COVID situation, the conference is going to be held virtually this year.

With an acceptance rate of approx. 31%, MICCAI is one of the most competitive international meetings in the field. It is based on full paper submissions and double-blind review process.

Congratulations!

2021
	A. Zapaishchykova, D. Dreizin, Z. Li, J. Wu, S. Roohi, A. Unberath An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, 2021 (bib)
	M. Tirindelli, C. Eilers, W. Simson, M. Paschali, M. Azampour, N. Navab Rethinking Ultrasound Augmentation: A Physics-Inspired Approach 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, 2021 (bib)
	M. Seibold, A. Hoch, D. Suter, M. Farshad, P. Zingg, N. Navab, Acoustic-based Spatio-temporal Learning for Press-fit Evaluation of Femoral Stem Implants 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, 2021 (bib)
	H. Maier, S. Faghihroohi, N. Navab A line to align: Deep dynamic time warping for retinal OCT segmentation 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, 2021 (bib)
	S. Kim, L. Goli, M. Paschali, A. Khakzar, M. Keicher, T. Czempiel, E. Burian, R. Braren, N. Navab, T. Wendler Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, 2021 (bib)
	A. Khakzar, S. Musatian, J. Buchberger, I. Quiroz, N. Pinger, S. Baselizadeh, S. Kim, N. Navab Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, 2021 (bib)
	A. Khakzar, Y. Zhang, W. Mansour, Y. Cai, Y. Li, Y. Zhang, S. Kim, N. Navab Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, 2021 (bib)
	M. Karaoglu, N. Brasch, M. Stollenga, W. Wien, N. Navab, F. Tombari, A. Ladikos Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, 2021 (bib)
	M. Kalia, T. Aleef, N. Navab, S. Salcudean, P. Black Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, 2021 (bib)
	M. Ghorbani, M. Bahrami, A. Kazi, M. Baghshah, H. Rabiee, N. Navab GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, 2021 (bib)
	T. Czempiel, M. Paschali, S. Kim, D. Ostler, B. Busam, N. Navab OperA: Attention-Regularized Transformers for Surgical Phase Recognition 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, 2021 (bib)
	C. Bukas, B. Jian, L. Rodriguez, F. Benetti, , A. Sekuboyina, J. Gempt, J. Kirschke, M. Piraud, J. Oberreuter, N. Navab, T. Wendler Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, 2021 (bib)
	T. Bdair, N. Navab, S. Albarqouni FedPerl: Semi-Supervised Peer Learning for Skin Lesion Classification 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, 2021 (bib)