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Seizure detection challenge (2025)
This is the submission form for the seizure detection challenge organized by
The International Conference on Artificial Intelligence in Epilepsy and Other Neurological Disorders
(2025) in collaboration with
EPFL
,
ETH
and partners.
The description of the challenge along with submission instructions are available on the
epilepsybenchmarks.com website
.
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* Indicates required question
Email
*
Your email
Algorithm description
Algorithm name
*
A short and descriptive name for your algorithm.
Your answer
Docker image
*
Docker image can be stored on
Docker Hub
or on any other
image registry
. The image must be publicly accessible.
Your answer
List of authors & affiliation
*
List of authors as a bullet list with their respective affiliation between brackets. E.g.
John Doe (ESL, EPFL)
Alice Blackwood (IIS, ETH)
Your answer
Abstract
*
Abstract that describes your algorithm. We recommend the following structure for abstracts:
A clear description of the
algorithm, and/or ML model
including assumptions and parameters.
A description of the input data of the algorithm specifying sampling frequency, and number of channels.
A description of the training data.
An explanation of any training data that were excluded, and all pre-processing steps.
An analysis of measured performance on
the publicly available datasets
An analysis of the complexity (time, space, sample size) of any algorithm.
Your answer
License
*
Apache License 2.0
GNU GPLv3
MIT License
Other:
Datasets used for training
*
A list of all datasets you used for training your algorithm.
Physionet CHB-MIT Scalp EEG dataset
Physionet Siena Scalp EEG dataset
Temple University Seizure Corpus
Temple University EEG Corpus
KU Leuven SeizeIT1
Other:
Required
Algorithm source code
While this is not compulsory, we
encourage
you to share your algorithm source code including both the
training and inference
.
Your answer
Algorithm publication
If your algorithm has
already been published
, could you share the
DOI
of the publication?
Your answer
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