posted by organizer: vcheplygina || 4627 views || tracked by 4 users: [display]

LABELS 2017 : Large-scale Annotation of Biomedical data and Expert Label Synthesis


When Sep 14, 2017 - Sep 14, 2017
Where Quebec, Canada
Submission Deadline Jun 12, 2017
Notification Due Jul 7, 2017
Final Version Due Jul 17, 2017
Categories    machine learning   medical image analysis   computer aided diagnosis

Call For Papers

CALL FOR PAPERS: 2nd Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis (MICCAI LABELS)

There has been an increasing interest of the MICCAI community for data-driven methods such as supervised learning techniques. The effectiveness of such approaches often depends on their access to sufficiently large quantities of labelled data of good quality. Despite the increasing amount of acquired clinical data, the availability of ready-to-use annotations is very limited.

The goals of LABELS are to
raise awareness on the importance of a methodological acquisition of training data and a careful design of the labelling procedures
promote the development and scientific exchange of algorithms that focus on assisting the annotation process

To this end, we call for submissions addressing the labelling/annotation task by means of approaches from the following fields:

Active learning
Semi-supervised learning
Reinforcement learning
Domain adaptation and transfer learning
Fusion of labels from different sources
Data augmentation
Modelling of label uncertainty
Visualization and human-computer interaction

Because data annotation and expert labelling is strongly grounded in practical considerations, we welcome not only research contributions, but also encourage submitters to share war stories and practical feedback on successful or insightfully unsuccessful data collection experiences in real world settings. We call for two types of contributions:

Full papers, 8-10 pages which will be published as proceedings in Lecture Notes in Computer Science (, to be presented as oral presentations and/or posters.
Abstracts, 1-2 pages covering recent published work, preliminary results and/or open problems, to be presented during short spotlight presentations and/or posters.
The reviewing process will be single blind. The format for paper/abstract submission is the same as the main conference. (Guidelines:


-Danna Gurari, University of Texas at Austin
-Tanveer Syeda-Mahmood, IBM
-Emanuele Trucco, University of Dundee


24 April 2017 Submissions open
12 June 2017 Deadline for paper/abstract submission
7 July 2017 Notification of acceptance
17 July 2017 Camera-ready deadline
14 September 2017 Workshop in Quebec, Canada

For more information, please check our website,


Veronika Cheplygina, Eindhoven University of Technology (TU/e), The Netherlands
Diana Mateus, Technische Universität München (TUM), Germany
Lena Maier-Hein, German Cancer Research Center (DKFZ), Germany
Eric Granger, École de Technologie Supérieure (ETS), Canada
Marc-André Carbonneau, École de Technologie Supérieure (ETS), Canada
Gustavo Carneiro, University of Adelaide, Australia


understandAI GmbH -

Related Resources

MDPI-Electronics-SI-QualRiskDistribSys 2022   MDPI Electronics Special Issue on Quality Assurance and Risk Mitigation in Large-Scale Distributed Systems
MLDM 2023   18th International Conference on Machine Learning and Data Mining
SDM 2023   SDM 2023 : SIAM International Conference on Data Mining
IJCNN 2023   International Joint Conference on Neural Networks
VLSI-SOC 2022   30th IFIP/IEEE International Conference on Very Large Scale Integration
ACM-Ei/Scopus-CWCBD 2023   2023 4th International Conference on Wireless Communications and Big Data (CWCBD 2023) -EI Compendex
LSDVE 2022   LSDVE'22: 9th International Workshop on Large Scale Distributed Virtual Environments
CFDSP 2023   2023 International Conference on Frontiers of Digital Signal Processing (CFDSP 2023)
SoCAV 2023   2023 International Symposium on Connected and Autonomous Vehicles (SoCAV 2023)
IEEE, EI, Scopus-CVIV 2023   2023 5th International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2023) -EI Compendex