Subject: Re: [AUDITORY] ABRpresto: an algorithm for ABR thresholding From: Luke Shaheen <lukeshaheen@xxxxxxxx> Date: Mon, 21 Apr 2025 15:31:15 -0400--0000000000009112d806334ee98f Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable Hello again, ABRpresto is now published in its final version. We made a few improvements to give measurements of the confidence in the threshold judgement and suggest forther improvements. Feel free to use and improve upon: https://authors.elsevier.com/a/1kzTr1M5IZn-v4 <https://kwnsfk27.r.eu-west-1.awstrack.me/L0/https:%2F%2Fauthors.elsevier.c= om%2Fa%2F1kzTr1M5IZn-v4/1/01020196597d99a8-d013d092-ad83-4fad-a223-20ec9e39= e8b8-000000/zw8sgPxjae-YvJjVzC3oVm2mM9Q=3D422> https://www.sciencedirect.com/science/article/pii/S0378595525000772 -Luke Shaheen On Fri, Nov 8, 2024 at 10:40=E2=80=AFAM Luke Shaheen <lukeshaheen@xxxxxxxx= > wrote: > Hi colleagues, > > We are excited to share with the community ABRpresto, an algorithm for > generating ABR thresholds by cross-correlation of resampled subaverages. > This algorithm has worked well for us at Decibel/Regeneron, and we would > love to see it used more broadly. Along with the algorithm we are also > publishing a large dataset of single-trial ABR data with a table of > corresponding thresholds picked by expert human raters. > > Please distribute and feel free to contact us with any questions or > comments. > > Shaheen, L. A., Buran, B. N., Suthakar, K., Koehler, S. D., & Chung, Y. > (2024). *ABRpresto: An algorithm for automatic thresholding of the > Auditory Brainstem Response using resampled cross-correlation across > subaverages*. bioRxiv. https://doi.org/10.1101/2024.10.31.621303 > ABRpresto code <https://github.com/Regeneron-RGM/ABRpresto> > ABRpresto single-trial data <https://zenodo.org/records/13987792> > > Cheers, > Luke Shaheen > LukeShaheen@xxxxxxxx > > > --0000000000009112d806334ee98f Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div>Hello again,</div><div><br></div><div>ABRpresto is no= w published in its final version. We made a few improvements to give measur= ements of the confidence in the threshold judgement and suggest forther imp= rovements. Feel free to use and improve upon:=C2=A0 <br></div><div><a href= =3D"https://kwnsfk27.r.eu-west-1.awstrack.me/L0/https:%2F%2Fauthors.elsevie= r.com%2Fa%2F1kzTr1M5IZn-v4/1/01020196597d99a8-d013d092-ad83-4fad-a223-20ec9= e39e8b8-000000/zw8sgPxjae-YvJjVzC3oVm2mM9Q=3D422" style=3D"color:rgb(0,115,= 152)" target=3D"_blank">https://authors.elsevier.com/a/1kzTr1M5IZn-v4</a> <br><a href=3D"https://www.sciencedirect.com/science/article/pii/S037859552= 5000772">https://www.sciencedirect.com/science/article/pii/S037859552500077= 2</a></div><div><br></div><div>-Luke Shaheen</div></div><br><div class=3D"g= mail_quote gmail_quote_container"><div dir=3D"ltr" class=3D"gmail_attr">On = Fri, Nov 8, 2024 at 10:40=E2=80=AFAM Luke Shaheen <<a href=3D"mailto:luk= eshaheen@xxxxxxxx">lukeshaheen@xxxxxxxx</a>> wrote:<br></div><blockquo= te class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;border-left:1px = solid rgb(204,204,204);padding-left:1ex"><div dir=3D"ltr"><div>Hi colleague= s,</div><div><br></div><div>We are excited to share with the community ABRp= resto, an algorithm for=20 generating ABR thresholds by cross-correlation of resampled subaverages. T= his algorithm has worked well for us at Decibel/Regeneron, and we would lov= e to see it used more broadly. Along with the algorithm we are also publish= ing a large dataset of single-trial ABR data with a table of corresponding = thresholds picked by expert human raters.</div><div><br></div><div>Please d= istribute and feel free to contact us with any questions or comments.</div>= <div><br></div><div> <div style=3D"line-height:2;margin-left:2em"> </div><div style=3D"line-height:2"><div>Shaheen, L. A., Buran, B. N., Sut= hakar, K., Koehler, S. D., & Chung, Y. (2024). <i>ABRpresto: An algorit= hm for automatic thresholding of the Auditory Brainstem Response using resa= mpled cross-correlation across subaverages</i>. bioRxiv. <a href=3D"https:/= /doi.org/10.1101/2024.10.31.621303" target=3D"_blank">https://doi.org/10.11= 01/2024.10.31.621303</a></div><div><a href=3D"https://github.com/Regeneron-= RGM/ABRpresto" target=3D"_blank">ABRpresto code</a></div></div></div><div><= a href=3D"https://zenodo.org/records/13987792" target=3D"_blank">ABRpresto = single-trial data</a></div><div><br></div><div>Cheers,</div><div>Luke Shahe= en</div><div><a href=3D"mailto:LukeShaheen@xxxxxxxx" target=3D"_blank">Luk= eShaheen@xxxxxxxx</a><br></div><div><br></div><div><br> </div></div> </blockquote></div> --0000000000009112d806334ee98f--