collaborators

5 papers

eess.IV2026

End-to-end optimization of sparse ultrasound linear probes

Sergio Urrea, Adrian Basarab, Hervé Liebgott +1

Ultrasound imaging faces a trade-off between image quality and hardware complexity caused by dense transducers. Sparse arrays are one popular solution to mitigate this challenge. T…

eess.IV2026

Efficient Convolutional Forward Model for Passive Acoustic Mapping and Temporal Monitoring

Tatiana Gelvez-Barrera, Barbara Nicolas, Bruno Gilles +2

Passive acoustic mapping (PAM) is a key imaging technique for characterizing cavitation activity in therapeutic ultrasound applications. Recent model-based beamforming algorithms o…

eess.SP2025

Time-Domain Linear Model-based Framework for Passive Acoustic Mapping of Cavitation Activity

Tatiana Gelvez-Barrera, Barbara Nicolas, Denis Kouamé +2

Passive acoustic mapping enables the spatial mapping and temporal monitoring of cavitation activity, playing a crucial role in therapeutic ultrasound applications. Most conventiona…

eess.SP2025

A Weighted Hankel Approach and Cramér-Rao Bound Analysis for Quantitative Acoustic Microscopy Imaging

Lorena Leon, Jonathan Mamou, Denis Kouamé +1

Quantitative acoustic microscopy (QAM) is a cutting-edge imaging modality that leverages very high-frequency ultrasound to characterize the acoustic and mechanical properties of bi…

cs.CV2025

Ultrasound Image Generation using Latent Diffusion Models

Benoit Freiche, Anthony El-Khoury, Ali Nasiri-Sarvi +5

Diffusion models for image generation have been a subject of increasing interest due to their ability to generate diverse, high-quality images. Image generation has immense potenti…