11 papers accepted at MICCAI 2017

We are happy to announce that 11 papers of our chair will be presented at the 20th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2017) in Quebec City (Canada), September 10-14, 2017.

With an acceptance rate of approx. 30%, 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!

2017
	M. Rempfler, B. Andres, B. Menze Uncertainty Estimation in Vascular Networks Accepted to Proceedings of the MICCAI workshop on Graphs in Biomedical Image Analysis, Quebec, Canada, September 2017. (bib)
	A. Guha Roy, S. Conjeti, D. Sheet, A. Katouzian, N. Navab, C. Wachinger Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data Proceedings of MICCAI 2017: Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017 (bib)
	S. Conjeti, M. Paschali, A. Katouzian, N. Navab Deep Multiple Instance Hashing for Scalable Medical Image Retrieval The first two authors contributed equally. 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Canada 2017. The original publication is available online at link.springer.com (bib)
	D. Das, E. Coello, R. Schulte, B. Menze Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging using Machine Learning Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec, Canada, September 2017. (bib)
	I. Laina, N. Rieke, C. Rupprecht, J. Page Vizcaino, A. Eslami, F. Tombari, N. Navab Concurrent Segmentation and Localization for Tracking of Surgical Instruments Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec, Canada, September 2017. A pre-print version is available online at arXiv. The first two authors contribute equally to this paper. (bib)
	M. Rempfler, S. Kumar, V. Stierle, P. Paulitschke, B. Andres, B. Menze Cell Lineage Tracing in Lens-free Microscopy Videos Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec, Canada, September 2017. (bib)
	P. Stefan, S. Habert, A. Winkler, M. Lazarovici, J. Fuermetz, U. Eck, N. Navab A Mixed-Reality Approach to Radiation-free Training of C-arm based Surgery Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Quebec, Canada, September 2017. This work was nominated for the young scientist award at MICCAI 2017. The first two authors contribute equally to this paper. (bib)
	A. Kazi, S. Albarqouni, A. Sanchez, C. Kirchhoff, P. Biberthaler, N. Navab, D. Mateus Automatic Classification of Proximal Femur Fractures based on Attention Models Proceedings of MICCAI Workshop on Machine Learning in Medical Imaging (MLMI), Quebec, Canada, September 2017 (bib)
	S. Habert, U. Eck, P. Fallavollita, S. Parent, N. Navab, F. Cheriet A Novel Application of an RGBD augmented C-arm for Minimally Invasive Scoliosis Surgery Assistance Accepted as Oral Presentation to Augmented Environments for Computer-Assisted Interventions (AECAI), workshop of MICCAI, Quebec, Canada, September 2017 (bib)
	S. Matinfar, A. Nasseri, U. Eck, A. Roodaki, Navid Navab, C. Lohmann, M. Maier, N. Navab Surgical Soundtracks: Towards Automatic Musical Augmentation of Surgical Procedures Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Quebec, Canada, September 2017. This work won the young scientist award at MICCAI 2017. The final publication is available here (bib)
	S. Albarqouni, J. Fotouhi, N. Navab X-ray In-Depth Decomposition: Revealing The Latent Structures Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Quebec, Canada, September 2017 A pre-print version is available online at arXiv. (bib)
	C. Baur, S. Albarqouni, N. Navab Semi-Supervised Learning for Fully Convolutional Networks Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Quebec, Canada, September 2017 A pre-print version is available online at arXiv. The first two authors contribute equally to this paper. (bib)