Synthetic contrast enhancement in cardiac CT with Deep Learning. - Gianmarco Santini; Lorena M. Zumbo; Nicola Martini; Gabriele Valvano; Andrea Leo; Andrea Ripoli; Francesco Avogliero; Dante Chiappino; Daniele Della Latta (CoRR, 2018)

Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging. - Gabriele Valvano; Gianmarco Santini; Nicola Martini; Andrea Ripoli; Chiara Iacconi; Dante Chiappino; Daniele Della Latta (CoRR, 2018)

Training of a Skull-Stripping Neural Network with efficient data augmentation. - Gabriele Valvano; Nicola Martini; Andrea Leo; Gianmarco Santini; Daniele Della Latta; Emiliano Ricciardi; Dante Chiappino (CoRR, 2018)

Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. - Gabriele Valvano; Agisilaos Chartsias; Andrea Leo; Sotirios A. Tsaftaris (DART/MIL3ID@MICCAI, 2019)

Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (CoRR, 2020)

Metrics for Exposing the Biases of Content-Style Disentanglement. - Xiao Liu 037; Spyridon Thermos; Gabriele Valvano; Agisilaos Chartsias; Alison O'Neil; Sotirios A. Tsaftaris (CoRR, 2020)

Measuring the Biases and Effectiveness of Content-Style Disentanglement. - Xiao Liu 037; Spyridon Thermos; Gabriele Valvano; Agisilaos Chartsias; Alison Q. O'Neil; Sotirios A. Tsaftaris (BMVC, 2021)

Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (DART/FAIR@MICCAI, 2021)

Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (DART/FAIR@MICCAI, 2021)

Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (CoRR, 2021)

Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates. - Gabriele Valvano; Andrea Leo; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2021)

Document Layout Analysis with Variational Autoencoders: An Industrial Application. - Ali Youssef; Gabriele Valvano; Giacomo Veneri (ISMIS, 2022)

Controllable Image Synthesis of Industrial Data using Stable Diffusion. - Gabriele Valvano; Antonino Agostino; Giovanni De Magistris; Antonino Graziano; Giacomo Veneri (WACV, 2024)