A Deep Learning Approach For Improved Segmentation Of Lesions Related To Covid-19 Chest CT Scans. - Vlad Vasilescu; Ana Neacsu; Emilie Chouzenoux; Jean-Christophe Pesquet; Corneliu Burileanu (ISBI, 2021)

A Latent Analysis of A Super-Resolved Sentinel-2 Data Cube For Green Urban Infrastructure Health Monitoring. - Corina Vaduva; Daniela Faur; Alexandru-Cosmin Grivei; Vlad Vasilescu; Mihai Datcu (IGARSS, 2023)

Sentinel-2 60-m Band Super-Resolution Using Hybrid CNN-GPR Model. - Vlad Vasilescu; Mihai Datcu; Daniela Faur (IEEE Geosci. Remote. Sens. Lett., 2023)

A CNN-Based Sentinel-2 Image Super-Resolution Method Using Multiobjective Training. - Vlad Vasilescu; Mihai Datcu; Daniela Faur (IEEE Trans. Geosci. Remote. Sens., 2023)

Sentinel 2 super-resolved data cubes - 92 scenes over 2 regions in Switzerland spanning 5 years. - Daniela Faur; Andreea Griparis; Alexandru-Cosmin Grivei; Corina Vaduva; Vlad Vasilescu; Mihai Datcu (IEEE DataPort, 2023)

Are Almost Non-Negative Neural Networks Universal Approximators? - Vlad Vasilescu; Ana Neacsu; Jean-Christophe Pesquet (MLSP, 2024)

ABBA Neural Networks: Coping with Positivity, Expressivity, and Robustness. - Ana Neacsu; Jean-Christophe Pesquet; Vlad Vasilescu; Corneliu Burileanu (SIAM J. Math. Data Sci., 2024)

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing. - Vlad Vasilescu; Ana Neacsu; Daniela Faur (CoRR, 2025)