15 papers accepted at MICCAI 2020

We are happy to announce that 15 papers of our chair will be presented at the 23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2020) in Lima, Peru, October 4-8, 2020. 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!

2020
	G. Vivar, , A. Zwergal, N. Navab, A. Ahmadi Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time 23nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, 2020 (bib)
	L. Cosmo, A. Kazi, A. Ahmadi, N. Navab, M. Bronstein Latent-Graph Learning for Disease Prediction 23nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, 2020 (bib)
	W. Wein, M. Lupetti, O. Zettinig, S. Jagoda, M. Salehi, V. Markova, D. Zonoobi, R. Prevost Three-dimensional thyroid assessment from untracked 2D ultrasound clips Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2020, October 2020 (bib)
	A. Sadafi, A. Makhro, A. Bogdanova, N. Navab, T. Peng, S. Albarqouni, C. Marr Attention based Multiple Instance Learning for Classification of Blood Cell Disorders International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020 (bib)
	T. Peng, L. Lamm, M. Loeffler, N. Ahmed, N. Navab, T. Schroeder, C. Marr Background and illumination correction for time-lapse microscopy data with correlated foreground International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020 (bib)
	D. Pakhomov, N. Navab Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020 (bib)
	A. Winkler, U. Eck, N. Navab Spatially-Aware Displays for Computer Assisted Interventions Proceedings of the 23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, October 2020 (bib)
	J. Weiss, M. Sommersperger, M. A. Nasseri, A. Eslami, U. Eck, N. Navab Processing-Aware Real-Time Rendering for Optimized Tissue Visualization in Intraoperative 4D OCT Medical Image Computing and Computer Assisted Interventions (MICCAI) Lima, Peru, October 2020 (bib)
	A. Tran , J. Weiss, S. Albarqouni, S. Faghihroohi, N. Navab Retinal Layer Segmentation Reformulated as OCT Language Processing Medical Image Computing and Computer Assisted Interventions (MICCAI) Lima, Peru, October 2020 (bib)
	C. Brendle, L. Schuetz, J. Esteban, S. Krieg, U. Eck, N. Navab Can a hand-held navigation device reduce cognitive load? A user-centered approach evaluated by 18 surgeons Proceedings of the 23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, October 2020 (bib)
	T. Czempiel, M. Paschali, M. Keicher, W. Simson, H. Feußner, S.T. Kim, N. Navab TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020 (The pre-print is available currently online on arXiv) (bib)
	H. Burwinkel, M. Keicher, D. Bani-Harouni, T. Zellner, F. Eyer, N. Navab, A. Ahmadi Decision Support for Intoxication Prediction Using Graph Convolutional Networks The first two authors contributed equally. International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020 (pre-print version is available online at arXiv) (bib)
	H. Burwinkel, H. Matz, S. Saur, C. Hauger, A. Evren, N. Hirnschall, O. Findl, N. Navab, A. Ahmadi Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020 (pre-print version is available online at arXiv) (bib)
	C. Baur, R. Graf, B. Wiestler, S. Albarqouni, N. Navab SteGANomaly: Inhibiting CycleGAN? Steganography for Unsupervised Anomaly Detection in Brain MRI Accepted to the Proceedings of the 23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, October 2020 (bib)
	C. Baur, B. Wiestler, S. Albarqouni, N. Navab Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI Accepted to the Proceedings of the 23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, October 2020 A pre-print version is available online at arXiv. (bib)