NCI-MICCAI Workshop: COMPUTATIONAL CLINICAL DECISION SUPPORT AND PRECISION MEDICINE IN BRAIN CANCER: THE VALUE OF OPEN SCIENCE GRAND CHALLENGES
Sunday, September 14, 2014 - 8:00 am - 12:00 PM,
Workshop and challenges will be held at the Joseph B. Martin Conference Center at Harvard Medical School (HMS), 77 Avenue Louis Pasteur, Boston, MA in room 216. MICCAI will provide buses between Kresge Auditorium at MIT and the Martin Conference Center at HMS in the morning (departing at 7:00am and at 7:30am) and in the evening (departing at 5:15pm). Alternatively, you can use public transportation or taxi. If not already registered, you will have to register at the Kresge Auditorium and then go to the Martin Conference Center. There will be not on-site registration at this location.
The purpose of this workshop is to consider basic requirements and current resources for open science development of systems in support of computational precision medicine in brain tumor diagnosis and treatment planning. Topics of interest include open science approach to validation and bench marking of algorithms in quantitative imaging, biomedical informatics and their integration, and related open archives and cloud-based computing. We will consider the role of computational challenge competitions though MICCAI in benchmarking and validation of tools and algorithms for precision medicine and clinical decision support in brain tumor diagnosis and therapy.
The morning Brain workshop will be followed in the afternoon by Brain Tumor Imaging (BraTS) and Digital Pathology Challenges. The afternoon challenge sessions will include presentations by organizers and top winners of each challenge.
S-17 | MICCAI Computational Decision Support in Brain Cancer Cluster of Events |
S-W17 | Computational Clinical Decision Support and Precision Medicine in Brain Cancer-BrainTumor |
| Chairs: K. Farahani (NCI), L. Clarke (NCI), C. Jaffe (Boston U) |
7:00 | Registration and Coffee |
8:00 | K. Farahani (NCI)-Welcome Introduction |
8:05 | D.Gutman (Emory)-The Cancer Digital Slide Archive: An Online Resource for Integrative Digital Pathology |
8:25 | A. Tannenbaum (Stony Brook)-Tumor Margin Delineation |
8:45 | R. Colen (MD Anderson)-Imaging Genomics, Imaging-omics and Big Data |
9:05 | H. Aerts (Harvard)-Radiomics: Getting Our ‘Omics from Imaging |
9:25 | W. Wells (Brigham&Women’s, Harvard)-Uncertainty Management in Image Processing |
9:45 | Panel Discussion- Moderator: J. Saltz (Stony Brook) |
10:05 | Coffee |
10:30 | T. Syeda-Mahmood (IBM)-Advances in tumor segmentation for disease assessment |
10:50 | S. Mercer (Microsoft Research)-Using CodaLab for Algorithmic Competition and Experimentation |
11:10 | J. Freymann, J. Kirby (NCI/Leidos) The Cancer Imaging Archive |
11:30 | Panel Discussion – Moderator: B. Menze (UTM) |
11:50 | C. Jaffe(Boston U) - Conclusion |
S-C17A | Brain Tumor Image Segmentation Challenge-BRATS |
| Chairs: M. Reyes (U. Bern), J. Kalpathy-Cramer (MGH, Harvard), B. Menze (TUM) |
1:15 | Presentation by Chairs: Multi-modal Image Segmentation and Classification of Brain Tumors |
1:45 | Presentations by top 3 challenge winners (10 min each) |
2:15 | General Discussion |
3:00 | Coffee |
S-C17B | Digital Pathology Classification and Segmentation Challenge |
| Chairs: T. Kurc (Stony Brook), J. Davis (Stony Brook), J. Saltz (Stony Brook) |
3:30 | Presentation(s) by Chairs: Multi-scale, Multi-modal Imaging in Cancer Research and Imaging Quantification |
4:00 | Presentations by top 3 challenge winners (10 min each) |
4:30 | General Discussion and Wrap-up |