BCRarticle

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

Our Deep Learning papers were featured in Biomedical Computation Review

Our Deep Learning papers were featured in the "Deep Learning and the Future of 
Biomedical Image Analysis" article published in the Biomedical Computation Review (BCR). It is worth mentioning that BCR magazine from Stanford University and supported by NIH. Here is the list of our papers:

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)
2016
S. Albarqouni, S. Matl, M. Baust, N. Navab, S. Demirci
Playsourcing: A Novel Concept for Knowledge Creation in Biomedical Research
Proceedings of MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, Athens, Greece, October 2016
The first two authors contribute equally to this paper.
(bib)
S. Albarqouni, C. Baur, F. Achilles, V. Belagiannis, S. Demirci, N. Navab
AggNet: Deep Learning from Crowds for Mitosis Detection in Breast Cancer Histology Images
IEEE Transactions on Medical Imaging (TMI), Special Issue on Deep Learning, vol. 35, no. 5, pp. 1313 - 1321, 2016.
The first two authors contribute equally to this paper.
(bib)

2016
C. Baur, S. Albarqouni, S. Demirci, N. Navab, P. Fallavollita
CathNets: Detection and Single-View Depth Prediction of Catheter Electrodes
7th International Conference on Medical Imaging and Augmented Reality (MIAR), 24-26 August, 2016, Bern, Switzerland. (Best Paper Award) (bib)


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Title: Our Deep Learning papers were featured in Biomedical Computation Review
Date: 14 December 2017
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Abstract: Our Deep Learning papers were featured in the "Deep Learning and the Future of Biomedical Image Analysis" article published in the Biomedical Computation Review (BCR).
Imageurl: ScreenShot2017-12-13at10.25.45.png
Type: News
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Conferencelink: http://bcr.org/content/deep-learning-and-future-%E2%80%A8biomedical-image-analysis


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