Glad to announce a $50,000 Data Challenge on ECG image digitization, organized by our PhysioNet Challenge team and Kaggle, expanding on the 2024 G.B. Moody PhysioNet Challenge on ECG image digitization. Learn more and participate:
https://t.co/zuFLFcUABK
#ECG#Kaggle#PhysioNet
We are excited to announce the opening of the George B. Moody PhysioNet Challenge 2025. This year, the challenge focuses on developing algorithms to identify Chagas disease using electrocardiograms (ECGs).
Chagas disease affects over 6.5 million people worldwide, with a significantly higher prevalence in the Global South. It is often detected through serological testing, which is limited in availability. Using ECGs for automated detection can help prioritize testing and improve treatment efforts.
Participants will work with initial training data from the CODE-15% dataset, with additional data to be shared as the challenge progresses. Example entries and scoring code are available in both MATLAB and Python to help teams get started. As usual, the challenge is divided into two stages: an unofficial phase for community feedback and an official phase. This year's challenge will conclude in Brazil at the annual Computing in Cardiology conference, where winners will be announced. Additional prizes are available to encourage participation from teams in the Global South.
Learn more and register at https://t.co/Ub6O25NV4n.
Excited to announce the George B. Moody PhysioNet Challenge 2024, focused on digitizing and classifying electrocardiograms (ECGs) from images and scanned papers! Read more and join the unofficial phase today: https://t.co/mfPzSgdInE
@emorybmi@CinC_tweets
@zhang_yueting @gabrielpeyre Indeed, a linear systems equivalent to the central limit theorem is that the cascade of many linear systems bahaves like a single Gaussian-shaped impulse response, which is also Gaussian in the frequency domain :)
@StephaneDeny @MBCarr0 @gabrielpeyre Yes - we just need robust measures for gaussianity, which is basically what the different flavors of classical ICA algorithms boil down to. Of course, there's a different approach based on the joint approximate diagonalization of eigenmatrices, like JADE and SOBI. Fun stuff!
Congrats to the 15 orgs selected for grant funding + other support through @Googleorg’s AI for the #GlobalGoals Impact Challenge. Each is working to solve global challenges with AI, from expanding access to maternal health to improving food systems + more
https://t.co/jU3S0hiFnb
Thanks to the community support, Passive-Brain-Audition is now among the top 32 #ARPAHDash Bracket ideas. Read more and vote for the second round here: https://t.co/JoMUD8XDAJ
#ployplexus#ARPAH#emoryuniversity
Our *Passive-Brain-Audition* idea is selected among the #ARPAHDash ideas. We proposed to develop an AI technology for early detection of brain aging and dementia from brain wave responses to environmental and memorable sounds during daily life. Please vote if you like the idea!
Our *Passive-Brain-Audition* idea is selected among the #ARPAHDash ideas. We proposed to develop an AI technology for early detection of brain aging and dementia from brain wave responses to environmental and memorable sounds during daily life. Please vote if you like the idea!
Check out the amazing #ARPAHDash ideas that made it into our brackets!
Who will be the winner? You help decide! $15k goes to the champ! https://t.co/qt7g2waRwE
@martinmbauer Very interesting. What's the interpretation of this curve? Since R, volume and surface areas have dimensions, each point of the curve has a different dimension and we can't compare them without unit normalization. Or maybe I'm missing something.