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Important notice: Although the challenge is officially scheduled in the morning only, for practical reasons the workshop will be co-organized with the Prostate Segmentation from T2-weighted MRI (PROMISE) challenge and therefore occupy a whole day.


Practical information

Teams participating in the on-site challenge will receive an email link to the test data (15 real and 15 simulated scans) on Sunday 30 September around noon. Computation of the tumor segmentations can commence immediately. Results should be submitted for evaluation by noon on Monday 1 October (the day of the challenge).


The challenge will be held in Acropolis, Room Gallieni 5. A detailed map of the venue, including also the location of the BRATS poster session, is available from the Program of MICCAI2012 Workshops, challenges and tutorials (pp. 12-13).


Posters have to be mounted on the workshop day from 8:30 AM and will have to be withdrawn before 6 PM on the same day.


09:00-09:15 Introduction
09:15-10:30 Short oral presentation of the participants
10:30-11:00 Coffee break
11:00-12:00 Invited talks
Automated tumor segmentation for radiotherapy planning.
Prof. Jan Unkelbach, Massachusetts General Hospital, Harvard Medical School
Multimodal image analysis for glioma characterization.
Dr. Andras Jakab, University of Debrecen Medical and Health Science Center
12:00-13:00 Joint PROMISE and BRATS clinical talks
Imaging workflow in daily clinical routine - benefits and pitfalls of
advanced brain tumor imaging.
Prof. Roland Wiest, Bern University Hospital
PROMISE talk (12:30): Clinical aspects of prostate imaging.
Francois Cornud MD. Paris
13:00-15:00 Lunch and poster session
15:00-15:30 Challenge results and discussion
15:30-16:00 Coffee break
16:00-17:00 Joint PROMISE and BRATS discussion on metrics and clinical relevance


List of accepted papers

Context-sensitive Classification Forests for Segmentation of Brain Tumor Tissues
D. Zikic, B. Glocker, E. Konukoglu, J. Shotton, A. Criminisi, D. H. Ye, C. Demiralp, O. M. Thomas, T. Das, R. Jena, and S. J. Price
Segmentation of Brain Tumor Images Based on Integrated Hierarchical Classification and Regularization
S. Bauer, T. Fejes, J. Slotboom, R. Wiest, L.-P. Nolte, and M. Reyes
Spatial Decision Forests for Glioma Segmentation in Multi-Channel MR Images
E. Geremia, B. H. Menze, and N. Ayache
Multimodal Brain Tumor Segmentation Using the "Tumor-cut" Method on the BraTS Dataset
A. Hamamci and G. Unal
Brain Tumor Segmentation Based on GMM and Active Contour Method with a Model-aware Edge Map
L. Zhao, W. Wu, and J.J. Corso
Probabilistic Gabor and Markov Random Fields Segmentation of Brain Tumours in MRI Volumes
N. K. Subbanna and T. Arbel
Hybrid Clustering and Logistic Regression for Multi-Modal Brain Tumor Segmentation
H.-C. Shin
Hierarchical Random Walker for Multimodal Brain Tumor Segmentation
Y. Xiao and J. Hu
Automatic Brain Tumor Segmentation Based on a Coupled Global-Local Intensity Bayesian Model
X. Tomas-Fernandez, and S. K. Warfield
Segmenting Glioma in Multi-Modal Images Using a Generative Model for Brain Lesion Segmentation
B. H. Menze, K. Van Leemput, D. Lashkari, M.-A. Weber, N. Ayache, and P. Golland
Segmenting Glioma in Multi-Modal Images Using a Generative-Discriminative Model for Brain Lesion Segmentation
B. H. Menze, E. Geremia, N. Ayache, and G. Szekely
Multi-modal Brain Tumor Segmentation via Latent Atlases
T. Riklin Raviv, K. Van Leemput, and B. H. Menze


Brain tumor images