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Forwarded from DLeX: AI Python (🐻🦏🐋🦅🐕 Meysam Asgari)
Can you predict fluid intelligence from T1-weighed MRI?
The ABCD Neurocognitive Prediction Challenge (ABCD-NP-Challenge 2019; https://sibis.sri.com/abcd-np-challenge) invites researchers to submit their method for predicting fluid intelligence from T1-weighed MRI (about 8.5K subjects in total, age 9-10 years). The data of 4.1k individuals are provided for training. The accuracy of each method will be assessed on its predicted fluid intelligence scores of the remaining 4.4K children, whose actual scores will be revealed after the challenge deadline. Downloading the data requires approval by NIH NDAR, which will require sign off by the institution you are affiliated with. So start the application process (https://sibis.sri.com/abcd-np-challenge/assets/docs/abcd-np-challenge-getting_data_access.pdf) early. Please also sign up to the mailing list (https://mailman.ucsd.edu/mailman/listinfo/abcd-npc-l) to receive updates about the challenge.
Important Dates:
Feb 15, 2019: Team Registration Deadline
Mar 10, 2019: Submit Results and Code
Mar 17, 2019: Submit Manuscript
Oct 2019: Meeting (in conjugation with MICCAI 2019, Shenzhen, China -http://www.miccai2019.org)
For more information, please visit http://sibis.sri.com/abcd-np-challenge
Organizers:
Wes Thompson, University of California – San Diego
Kilian M. Pohl, SRI International
Co-Chairs:
Ehsan Adeli, Stanford University
Bennett A. Landman, Vanderbilt University
Marius G. Linguraru, Children's National Health System
Susan F. Tapert, University of California – San Diego
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python
The ABCD Neurocognitive Prediction Challenge (ABCD-NP-Challenge 2019; https://sibis.sri.com/abcd-np-challenge) invites researchers to submit their method for predicting fluid intelligence from T1-weighed MRI (about 8.5K subjects in total, age 9-10 years). The data of 4.1k individuals are provided for training. The accuracy of each method will be assessed on its predicted fluid intelligence scores of the remaining 4.4K children, whose actual scores will be revealed after the challenge deadline. Downloading the data requires approval by NIH NDAR, which will require sign off by the institution you are affiliated with. So start the application process (https://sibis.sri.com/abcd-np-challenge/assets/docs/abcd-np-challenge-getting_data_access.pdf) early. Please also sign up to the mailing list (https://mailman.ucsd.edu/mailman/listinfo/abcd-npc-l) to receive updates about the challenge.
Important Dates:
Feb 15, 2019: Team Registration Deadline
Mar 10, 2019: Submit Results and Code
Mar 17, 2019: Submit Manuscript
Oct 2019: Meeting (in conjugation with MICCAI 2019, Shenzhen, China -http://www.miccai2019.org)
For more information, please visit http://sibis.sri.com/abcd-np-challenge
Organizers:
Wes Thompson, University of California – San Diego
Kilian M. Pohl, SRI International
Co-Chairs:
Ehsan Adeli, Stanford University
Bennett A. Landman, Vanderbilt University
Marius G. Linguraru, Children's National Health System
Susan F. Tapert, University of California – San Diego
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
❇️ @AI_Python