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Gabriele Valvano
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2020 – today
- 2024
- [c6]Gabriele Valvano, Antonino Agostino, Giovanni De Magistris, Antonino Graziano, Giacomo Veneri
:
Controllable Image Synthesis of Industrial Data using Stable Diffusion. WACV 2024: 5342-5351 - [i10]Gabriele Valvano, Antonino Agostino, Giovanni De Magistris, Antonino Graziano, Giacomo Veneri
:
Controllable Image Synthesis of Industrial Data Using Stable Diffusion. CoRR abs/2401.03152 (2024) - 2022
- [c5]Ali Youssef
, Gabriele Valvano
, Giacomo Veneri
:
Document Layout Analysis with Variational Autoencoders: An Industrial Application. ISMIS 2022: 477-486 - 2021
- [j1]Gabriele Valvano
, Andrea Leo
, Sotirios A. Tsaftaris
:
Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates. IEEE Trans. Medical Imaging 40(8): 1990-2001 (2021) - [c4]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: 124 - [c3]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. DART/FAIR@MICCAI 2021: 14-24 - [c2]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. DART/FAIR@MICCAI 2021: 68-78 - [i9]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning. CoRR abs/2108.11900 (2021) - [i8]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts. CoRR abs/2108.11926 (2021) - [i7]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training. CoRR abs/2108.12280 (2021) - 2020
- [i6]Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris:
Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates. CoRR abs/2007.01152 (2020) - [i5]Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Metrics for Exposing the Biases of Content-Style Disentanglement. CoRR abs/2008.12378 (2020)
2010 – 2019
- 2019
- [c1]Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris:
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. DART/MIL3ID@MICCAI 2019: 11-19 - [i4]Gabriele Valvano
, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris:
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. CoRR abs/1908.11330 (2019) - 2018
- [i3]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 abs/1807.01779 (2018) - [i2]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 abs/1809.03788 (2018) - [i1]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 abs/1810.10853 (2018)
Coauthor Index

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