Work

I am part of the MYRIAD team (CREATIS).

My research activity aims to improve patient care through effective interaction between clinicians and deep learning methods (sparse neural networks, weak supervision and interactive annotation methods).

Publications (link to scholar profile)

Mohamed TAMRAOUI (PhD student): Sparse array 3D ultrasound imaging
Ludmilla PENARRUBIA (PhD student): Quantification of pulmonary aeration in CT scans of patients with acute respiratory distress syndrome
Yamil VINDAS (PhD student): Weakly-supervised learning for emboli characterization with Transcranial Doppler (TCD) monitoring
Coolearning (collaboration with Bamdad Sabbagh) : brings interactivity to the tensorflow/playground with MIDI controllers.
2D sparse array design optimization and operating strategy for real-time 3D ultrasound imaging