Gianmarco Santini

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 11

Top Topics

Deformable Image Registration

Convolutional Neural Networks

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Processing

Publications

Noémie Moreau, Caroline Rousseau, Constance Fourcade, Gianmarco Santini, Ludovic Ferrer, Marie Lacombe, Camille Guillerminet, Mathilde Colombié, Pascal Jézéquel, Mario Campone, Mathieu Rubeaux, Nicolas Normand
F-FDG PET/CT imaging studies. EMBC (2022)
Gianmarco Santini, Yvon Nzoughet Obame, Constance Fourcade, Noémie Moreau, Mathieu Rubeaux
Automatic classification of benign and malignant kidney masses using radiomics. A retrospective study exploiting the KiTS19 dataset. Medical Imaging: Image Processing (2021)
Noémie Moreau, Caroline Rousseau, Constance Fourcade, Gianmarco Santini, Ludovic Ferrer, Marie Lacombe, Camille Guillerminet, Pascal Jézéquel, Mario Campone, Nicolas Normand, Mathieu Rubeaux
Comparison between threshold-based and deep learning-based bone segmentation on whole-body CT images. Medical Imaging: Computer-Aided Diagnosis (2021)
Constance Fourcade, Ludovic Ferrer, Noémie Moreau, Gianmarco Santini, Aishlinn Brennan, Caroline Rousseau, Marie Lacombe, Vincent Fleury, Mathilde Colombié, Pascal Jézéquel, Mario Campone, Mathieu Rubeaux, Diana Mateus
Deformable Image Registration with Deep Network Priors: a Study on Longitudinal PET Images. CoRR (2021)
Noémie Moreau, Caroline Rousseau, Constance Fourcade, Gianmarco Santini, Ludovic Ferrer, Marie Lacombe, Camille Guillerminet, Mario Campone, Mathilde Colombié, Mathieu Rubeaux, Nicolas Normand
. EMBC (2020)
Constance Fourcade, Ludovic Ferrer, Gianmarco Santini, Noémie Moreau, Caroline Rousseau, Marie Lacombe, Camille Guillerminet, Mathilde Colombié, Mario Campone, Diana Mateus, Mathieu Rubeaux
. EMBC (2020)
Gianmarco Santini, Noémi Moreau, Mathieu Rubeaux
Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge. CoRR (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)
Gianmarco Santini, Daniele Della Latta, Nicola Martini, Giuseppe Valvano, A. Gori, Andrea Ripoli, C. L. Susini, Luigi Landini, Dante Chiappino
An automatic deep learning approach for coronary artery calcium segmentation. CoRR (2017)