NewsConfMICCAI2020

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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)


WebEventForm
Title: 15 papers accepted at MICCAI 2020
Date: 31 August 2020
Location: Lima, Peru
Abstract: 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.
Imageurl: 00115925_cw_image_wi_c184e21f13fbf3bd2c1d90f08b45a9be.png.pagespeed.ce.Jha0NJJb0W.png
Type: Publication
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