Experience. Philippe Delachartre has 30 years of experience in ultrasound image processing and has contributed to more than 100 publications. He was coordinator of 6 projects over the last 6 years:

[P1] ANR LabCom AtysCrea with Atys Medical, 2014-17, 300 keuros.

[P2] Rhone Alpes ARC region project 6 thesis and support, 2013-16, 100 keuros, image denoising.

[P3] Contract with Institut Pierre Fabre Toulouse, 2016-18, 45 keuros.

[P4] Lyon University/Labex Celya contract with the labtau, 2017, "Segmentation of 3D images of the prostate by convolutional neural networks", 21 keuros.

[P5] Rhone Alpes Auvergne, thesis and support, 2019-24, 180 keuros, Emboli characterization by robotized transcranial Doppler and deep learning.

[P6] Labex Celya Lyon, PhD thesis and support, 2021-24, 130 keuros, Anomaly detection and segmentation in 3D ultrasound imaging using weakly supervised or unsupervised approaches.

CAREMB 2019 - 2024

Emboli detection is a major topic in stroke prevention. This project is based on a transcranial Doppler that allows long sessions of monitoring of the middle cerebral artery (MCA), on ambulatory patients, using a robotic probe. This project has two objectives. (1) Optimize Doppler signal quality throughout the monitoring sessions by controlling the positioning of the Doppler probe in relation to the MCA. (2) The development of a tool to assist in the characterization and classification of emboli by deep learning methods.