Accepting unofficial phase submissions

2024/index.md

@@ -12,6 +12,8 @@ The George B. Moody PhysioNet Challenges are annual competitions that invite par
 
 ## <a name="announcements"></a> Announcements
 
+- <a name="2024.02.29"></a>__February 29, 2024:__ We are [now accepting](https://groups.google.com/g/physionet-challenges/) unofficial phase submissions for the 2023 Challenge. Please read the [submissions instructions](submissions), double check your code, and [submit](https://docs.google.com/forms/d/e/1FAIpQLScFZNXv5rc-KlBxZMBB5IX8jRWHR-hADuheOtRWs5x1XzZo4w/viewform?usp=sf_link) your code when ready.
+
 - <a name="2024.01.25"></a>__January 25, 2024:__ The NIH-funded George B. Moody PhysioNet Challenge 2024 is [now open](https://groups.google.com/g/physionet-challenges/c/PBaLtvnwuRA)! Please read this website for details and share questions and comments on [Challenge forum](https://groups.google.com/g/physionet-challenges/). This year's Challenge is generously sponsored by [MathWorks](https://www.mathworks.com/) and [AWS](https://aws.amazon.com/).
 
 - <a name="2024.01.11"></a>__January 11, 2024:__ The NIH-funded George B. Moody PhysioNet Challenge 2024 will open soon! Please stay tuned for more information.
@@ -155,6 +157,8 @@ For each ECG recording, your algorithm must reconstruct the ECG waveform from th
 
 We implemented example algorithms in [MATLAB](https://github.com/physionetchallenges/matlab-example-2024) and [Python](https://github.com/physionetchallenges/python-example-2024). Other implementation languages will be considered upon request. The code repositories contain details for the examples and other helpful scripts and functions. These examples were not designed to perform well but to provide minimal working examples of how to work with the data for the Challenge task.
 
+Given the computational complexity of generating and training on large numbers of synthetic ECG images, we are asking you to submit your complete code base, including your training code, along with a pre-trained model. We will run your training code on a small subset of the training set to check it for errors, but we will score your pre-trained model on the validation set. At the end of the Challenge, we will re-run your training code on the full training set and score the resulting model on the test set.
+
 ## Submitting your Algorithm
 
 Please use the above [example code](#algorithms) as templates for your submissions.

2024/submissions/index.md

@@ -24,7 +24,7 @@ Similarly to [last year's Challenge](../../2023/), teams must submit both the co
 3. Do not include extra files that are not required to create and run your prediction code, such as the training data.
 4. Follow the instructions for the programming language of your submission.
 5. Share your repository with the `physionetchallengeshelper` user.
-6. Submit your entry using this form (not yet available).
+6. Submit your entry using this [form](https://docs.google.com/forms/d/e/1FAIpQLScFZNXv5rc-KlBxZMBB5IX8jRWHR-hADuheOtRWs5x1XzZo4w/viewform?usp=sf_link).
 7. We will put the scores for successful entries on the validation set on the leaderboard.  The leaderboard will publicly show your team name and scores.
 
 ### <a name="matlab"></a>MATLAB-specific instructions
@@ -37,7 +37,7 @@ Similarly to [last year's Challenge](../../2023/), teams must submit both the co
 6. `team_testing_code.m`: Update this script to load and run your model weights and any parameters from files in your submission.
 7. Confirm that your code compiles and runs in MATLAB R2023b or R2024a (when available).
 8. Push or upload your code to the root/base directory of the master branch of your repository.
-9. We will download your code, compile it using the MATLAB compiler (`mcc -m train_model.m -a .` and `mcc -m run_model.m -a .`), and run it on our machines or Google Cloud.
+9. We will download your code, compile it using the MATLAB compiler (`mcc -m train_model.m -a .` and `mcc -m run_model.m -a .`), and run it on our machines or the cloud.
 
 ### <a name="python"></a>Python-specific instructions
 
@@ -51,7 +51,7 @@ Similarly to [last year's Challenge](../../2023/), teams must submit both the co
 8. `run_model.py`: Do not change this script. It calls your functions from the `team_code.py` script to load and run your trained models to run on the test data. We will not use the `run_model.py` script from your repository, so any change made to this code will not be included.
 9. You can develop your code without Docker, but confirm that you can build a Docker image from your Dockerfile and run your code in Docker.
 10. Push or upload your code to the root/base directory of the master branch of your repository.
-11. We will download your code, build a Docker image from your Dockerfile, and run it on on our machines or Google Cloud.
+11. We will download your code, build a Docker image from your Dockerfile, and run it on on our machines or the cloud.
 
 ### <a name="docker"></a> Docker-specific FAQs
 

_config.yml

@@ -3,7 +3,7 @@ logo: /assets/img/physionet-cinc.gif
 logo_after_2015: /assets/img/ecg-ml.gif
 description: George B. Moody PhysioNet Challenge
 grantnotice: <p>Supported by the <a href="https://www.nibib.nih.gov/">National Institute of Biomedical Imaging and Bioengineering (NIBIB)</a> under NIH grant number R01EB030362.</p> <p>© PhysioNet Challenges. Website content licensed under the <a href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International Public License.</a></p>
-quicklinks: <div id="quicklinks"><b>Quick links for this year's Challenge:</b><ul><li><a href="https://forms.gle/baopm4U2Z2dmju777">Registration form</a></li><li>Example <a href="https://github.com/physionetchallenges/matlab-example-2024">MATLAB</a> and <a href="https://github.com/physionetchallenges/python-example-2024">Python</a> models and <a href="https://github.com/physionetchallenges/evaluation-2024">scoring</a> code</li><li>Submission <a href="https://physionetchallenges.org/2024/submissions/">instructions</a></li><li><a href="https://physionetchallenges.org/2024/leaderboard/">Leaderboard</a>, <a href="https://physionetchallenges.org/2024/results/">results</a>, and <a href="https://physionetchallenges.org/2024/papers/">papers</a></li><li><a href="https://groups.google.com/forum/#!forum/physionet-challenges">Public discussion forum</a></li><li><a href="https://physionetchallenges.org/2024/#rules">Rules and deadlines</a></li><li><a href="https://physionetchallenges.org/2024/faq/">Current</a> and <a href="https://physionetchallenges.org/faq/">general FAQs</a></li><li><a href="https://physionetchallenges.org/about/">About</a></li></ul> Please post questions and comments in the forum. However, if your question reveals information about your entry, then please email info at physionetchallenge.org. We may post parts of our reply publicly if we feel that all Challengers should benefit from it. We will not answer emails about the Challenge to any other address.</div>
+quicklinks: <div id="quicklinks"><b>Quick links for this year's Challenge:</b><ul><li><a href="https://forms.gle/baopm4U2Z2dmju777">Registration form</a></li><li>Example <a href="https://github.com/physionetchallenges/matlab-example-2024">MATLAB</a> and <a href="https://github.com/physionetchallenges/python-example-2024">Python</a> submissions and <a href="https://github.com/physionetchallenges/evaluation-2024">scoring</a> code</li><li>Submission <a href="https://physionetchallenges.org/2024/submissions/">instructions</a> and <a href="https://docs.google.com/forms/d/e/1FAIpQLScFZNXv5rc-KlBxZMBB5IX8jRWHR-hADuheOtRWs5x1XzZo4w/viewform?usp=sf_link">form</a></li><li><a href="https://physionetchallenges.org/2024/leaderboard/">Leaderboard</a>, <a href="https://physionetchallenges.org/2024/results/">results</a>, and <a href="https://physionetchallenges.org/2024/papers/">papers</a></li><li><a href="https://groups.google.com/forum/#!forum/physionet-challenges">Public discussion forum</a></li><li><a href="https://physionetchallenges.org/2024/#rules">Rules and deadlines</a></li><li><a href="https://physionetchallenges.org/2024/faq/">Current</a> and <a href="https://physionetchallenges.org/faq/">general FAQs</a></li><li><a href="https://physionetchallenges.org/about/">About</a></li></ul> Please post questions and comments in the forum. However, if your question reveals information about your entry, then please email info at physionetchallenge.org. We may post parts of our reply publicly if we feel that all Challengers should benefit from it. We will not answer emails about the Challenge to any other address.</div>
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index.md

@@ -14,6 +14,8 @@ Please check the below links for information about [current](#current) and [past
 
 ## <a name="news"></a> Select News
 
+- <a name="2024.02.29"></a>__February 29, 2024:__ We are [now accepting](https://groups.google.com/g/physionet-challenges/) unofficial phase submissions for the 2023 Challenge. Please read the [submissions instructions](2024/submissions), double check your code, and [submit](https://docs.google.com/forms/d/e/1FAIpQLScFZNXv5rc-KlBxZMBB5IX8jRWHR-hADuheOtRWs5x1XzZo4w/viewform?usp=sf_link) your code when ready.
+
 - <a name="2024.01.25"></a>__January 25, 2024:__ The NIH-funded George B. Moody PhysioNet Challenge 2024 is [now open](https://groups.google.com/g/physionet-challenges/c/PBaLtvnwuRA)! Please read this website for details and share questions and comments on [Challenge forum](https://groups.google.com/g/physionet-challenges/). This year's Challenge is generously sponsored by [MathWorks](https://www.mathworks.com/) and [AWS](https://aws.amazon.com/).
 
 - <a name="2023.10.10"></a>__October 10, 2023:__ The winners of the 2023 Challenge were announced on 4 October 2023 at [CinC 2023](https://cinc2023.org) in Atlanta, GA, USA. Congratulations, teams! See the [results](2023/results) and [papers](2023/papers) as well as the [full announcement](https://groups.google.com/g/physionet-challenges/c/9FRZp9wbnKo) for the final steps in this year's Challenge.