@MuyinatuBell
Bisi Bell
3 years
The first ever internationally crowd-sourced database of raw ultrasound channel data + integrated beamforming and eval code is now available as a major outcome of the 2020 Challenge on Ultrasound Beamforming with Deep Learning. ✅ ✅
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@MuyinatuBell
Bisi Bell
3 years
CUBDL outcomes & contributions include: ✅Database of ultrasound channel data ✅Network descriptions and trained network weights from CUBDL winners ✅PyTorch DAS beamformer ✅Optimized phantom sound speeds ✅Evaluation code that integrates all of the above
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@Atar_1990
Safeer Hyder
3 years
@MuyinatuBell @AlycenWiacek @IEEE_UFFC_Soc Highly appreciate the whole idea and implementation. Do the submission beamformer codes are accessible on the site?
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@MuyinatuBell
Bisi Bell
3 years
@Atar_1990 @AlycenWiacek @IEEE_UFFC_Soc Thank you and yes they are! The trained network weights of the CUBDL winners are now included with the PyTorch DAS beamformer available with the code release.
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@HassanRivaz
Hassan Rivaz
3 years
@MuyinatuBell @IEEE_UFFC_Soc @AlycenWiacek Very cool thanks to you and the co-organizers!
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@MuyinatuBell
Bisi Bell
3 years
@HassanRivaz @IEEE_UFFC_Soc @AlycenWiacek Thanks!! I’m also glad that your group was able to participate in the challenge!
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