(3/3) we used the benchmark dataset proposed in Ritsche & Sarto et al. (2025) osf.io/preprints/os... for reproducible and comparable algorithm performance analysis.

@mvfranchi.bsky.social @fabiosartophd.bsky.social @olivierseynnes.bsky.social

(2/3) Compared to a recent publication by Van der Zee et al. we show:

1. Improvement of new DL_Track_US models
2. Higher comparability between both approaches
3. Comparison of four different model types

💡Details in the news section of the docs ⤵
paulritsche.github.io/DL_Track_US/...

🚨 DL_Track_US NEWS 🚨 (1/3)

A new release (v0.3.0) 🎉 including:

✅ information transfer between frames
✅ improved UI with live analysis visualization
✅ installation wizard for easy usage
✅ faster processing

Check out the new docs for more info ⤵ paulritsche.github.io/DL_Track_US/...

⏭️ Next up:

⬆️ increase comparability to MR assessed muscle volume by:

🔍 objectifying calibration methods
🐍 automate image analysis

🚨New Preprint 🚨

3D Ultrasound is…
✅ reliable between sessions for muscle volume
✅ valid for ground truth phantom assessment

🔗 doi.org/10.31219/osf...

🔬Methods docs:
github.com/AurelieSar/3...

@mrifranz.bsky.social
With Michele Pansini, Romina Ledergerber & Oliver Faude

Join us tomorrow, in this year's Love Your Data Week to talk about “Open Data in Musculoskeletal Imaging” presented by @serenabonaretti.bsky.social
@ritpau.bsky.social
and Simone Poncioni
Registration still open:
t.co/C77XLy0jfa
#imaging, #msk, #opendata

🚨 Registration Open! 🚨

Join us in Brescia 🇮🇹 for the INcEPTION Winter School 2025 on HDsEMG!

📅 10th–14th March 2025
📍 In-person only | Limited spots!
✅ No registration fee

Don't miss this opportunity! Find further details here: forms.gle/EY4wNMnbYRn9nT…

UMUD is here to support muscle ultrasound research, but we can't do it alone...

We need YOU to:
🤝 Contribute datasets & annotations
🔬 Test & refine algorithms
💬 Share insights & ideas

Together, we can foster open science and reproducible research in ultrasound imaging 🤗

What else does UMUD include? 🤔

📊 Indexing (so far) 11 datasets with 75,569 images & 2,573 videos from 1,769 participants.
🔍 Detailed metadata for easy dataset exploration: muscle groups, devices, demographics, & more.
💡 Guidance on state-of-the-art automated analysis tools

A Universal Musculoskeletal Ultrasound Database:

📀 Open data
📊 Benchmarks
🧠 Expert-analyzed datasets

@fabiosartophd.bsky.social @olivierseynnes.bsky.social @mrifranz.bsky.social

🌐 web app: universalmuscledatabase.streamlit.app
📜preprint: doi.org/10.31219/osf...

⚠️ DeepACSA News ⚠️

✅ trained with ultrasonography images, automatic muscle CSA analysis works on populations with ACL rupture as well

🔜 Models will be available online.

Amazing efforts from
Beyza Tayfur & Team
and team!

#Muscle #ImageAnalysis #DeepACSA

Article link ⬇️
t.co/8kOW2TdO8J

Join us in the Reproducibilitea Unibasel this Thursday for the next invited talk “Reproducible Research: An Introduction to The Turing Way and Binder” by Sarah Gibson @turingway
Registration: www.eventbrite.com/e/reproducib...

⚠️ #openhdemg news ⚠️

📅Come visit us at the SwissRN congress in Zurich next Monday (10.06).

✅Learn about #openhdemg (github.com/GiacomoValli...) and reproducibility

🖥️Congress program: www.reproducibility.ch

❗️DL_Track_US News ❗️

*DL_Track_US is a software to automatically analyse fascicle behaviour in dynamic ultrasonography scans*

🆕v0.2.1 is now on pypi and available as .exe

Including:
✅Fascicle filtering
✅Mask inspection

⬇️Check it out #SciSky

osf.io/7mjsc/ (the repo is now on OSF)

First Post on #SciSky 🧪

We recently created DeepACSA to automatically analyse muscle ACSA in ultrasonography images 💪

❗ We released a new version ❗

New features:
✅ Labelling of images in GUI
✅ Inspection of Labels in GUI
✅ Restructured GUI

Check it out ⏬
github.com/PaulRitsche/DeepACSA/tree/main

Here’s a recording of a recent talk on how open science practices can improve research reproducibility, in which I begin by describing the events that led to my interest in open science youtu.be/UDaSaE67E3Y?...

I’m Paul 👋🏼 I study muscle architecture using ultrasonography and how it adapts during maturation, ageing or due to training. I try to automate the analysis of (EFOV) muscle ultrasonography because I got tired of clicking on images. I am currently working in 🇨🇭