2 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.IV2025
Learning Point Spread Function Invertibility Assessment for Image Deconvolution
Romario Gualdrón-Hurtado, Roman Jacome, Sergio Urrea +2
Deep-learning (DL)-based image deconvolution (ID) has exhibited remarkable recovery performance, surpassing traditional linear methods. However, unlike traditional ID approaches th…