Gabriele Valvano

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Weakly Supervised

Top Venues

DART/FAIR@MICCAI

IEEE Trans. Medical Imaging

Publications

Gabriele Valvano, Antonino Agostino, Giovanni De Magistris, Antonino Graziano, Giacomo Veneri
Controllable Image Synthesis of Industrial Data using Stable Diffusion. WACV (2024)
Gabriele Valvano, Antonino Agostino, Giovanni De Magistris, Antonino Graziano, Giacomo Veneri
Controllable Image Synthesis of Industrial Data Using Stable Diffusion. CoRR (2024)
Ali Youssef, Gabriele Valvano, Giacomo Veneri
Document Layout Analysis with Variational Autoencoders: An Industrial Application. ISMIS (2022)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. CoRR (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts. CoRR (2021)
Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris
Measuring the Biases and Effectiveness of Content-Style Disentanglement. BMVC (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. DART/FAIR@MICCAI (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates. IEEE Trans. Medical Imaging 40 (8) (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. DART/FAIR@MICCAI (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. CoRR (2021)
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates. CoRR (2020)
Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris
Metrics for Exposing the Biases of Content-Style Disentanglement. CoRR (2020)
Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. CoRR (2019)
Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. DART/MIL3ID@MICCAI (2019)
Gabriele Valvano, Nicola Martini, Andrea Leo, Gianmarco Santini, Daniele Della Latta, Emiliano Ricciardi, Dante Chiappino
Training of a Skull-Stripping Neural Network with efficient data augmentation. CoRR (2018)
Gabriele Valvano, Gianmarco Santini, Nicola Martini, Andrea Ripoli, Chiara Iacconi, Dante Chiappino, Daniele Della Latta
Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging. CoRR (2018)
Gianmarco Santini, Lorena M. Zumbo, Nicola Martini, Gabriele Valvano, Andrea Leo, Andrea Ripoli, Francesco Avogliero, Dante Chiappino, Daniele Della Latta
Synthetic contrast enhancement in cardiac CT with Deep Learning. CoRR (2018)