UltraSam
Foundation model for ultrasound segmentation using large open-access datasets.
Medical imaging · Deep learning · Ultrasound
Deep learning for ultrasound imaging.
I am Adrien Meyer, a PhD student focused on segmentation, annotation, and foundation models for practical clinical imaging workflows.
News
S4M at IPCAI 2026
S4M will be presented at IPCAI 2026 in Japan — let’s chat there!
Selected work
Open research on ultrasound segmentation, promptable models, and faster annotation.
Background
PhD work, engineering experience, and education behind the research projects above.
2022 — Present
PhD student
Deep learning for ultrasound imaging, segmentation, and medical annotation workflows.
2020 — 2022
Research engineer
Institut hospitalo-universitaire, Strasbourg · Deep learning for pancreatic and adrenal lesion analysis in endoscopic ultrasound.
2018 — 2020
Master’s degree in Computer Science
Data Science and Complex Systems · Université de Strasbourg · Graduated with honors.
2015 — 2018
Bachelor’s degree in Mathematics and Computer Science
Université de Strasbourg · Science, technology and health track.
Skills
Python
PyTorch
MMDetection
scikit-learn
Pandas
Git
Scientific writing
Contact
For research questions, collaborations, or code-related discussions.