Adam Descarpentries

• Site: Paris
• Group: image processing and pattern recognition

Short Bio

I obtained my Master’s degree in Artificial Intelligence at Université Paris Dauphine PSL in 2021 following the program IASD.

In 2022 I worked as a Research Engineer with Olea Medical, on the subject of Abnormlities Detection and Segmentation in Breast DCE-MRIs, aiming at aiding radiologist report potentious cancerous lesions.

Since february 2023, I am a PhD student working with the IMAGE Team of the LRE, and with GE Healthcare in the Advanced Visualization department. I am working on the subject of Anomaly Detection in Pulmonary Vessels using Few Shot Learning, oriented towards CTEPH detection, with close supervision from Elodie Puybareau (LRE) and Laura Dumont (GE).

Research

My ORCID is 0009-0005-0653-1325.

My main research interests are:

• Computer Vision
• AI for Medicine
• Medical Imaging

Publications

You can check out my digital poster Automatic Enhancing Objects Detection and Segmentation in Breast DCE-MRI at the 2023 International Society for Magnetic Resonance in Medicine (ISMRM) in June.