Gianmarco Santini

12 papers B 1Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	Influence of inputs for bone lesion segmentation in longitudinal EMBC Noémie Moreau, Caroline Rousseau, Constance Fourcade, Gianmarco Santini, Ludovic Ferrer, Marie Lacombe, Camille Guillerminet, Mathilde Colombié, Pascal Jézéquel, Mario Campone, Mathieu Rubeaux, Nicolas Normand
2021	B	`conf`	Automatic classification of benign and malignant kidney masses using radiomics. A retrospective study exploiting the KiTS19 dataset. Image Processing Gianmarco Santini, Yvon Nzoughet Obame, Constance Fourcade, Noémie Moreau, Mathieu Rubeaux
2021	—	`conf`	Comparison between threshold-based and deep learning-based bone segmentation on whole-body CT images. Computer-Aided Diagnosis Noémie Moreau, Caroline Rousseau, Constance Fourcade, Gianmarco Santini, Ludovic Ferrer, Marie Lacombe, Camille Guillerminet, Pascal Jézéquel, Mario Campone, Nicolas Normand, Mathieu Rubeaux
2021	J	`jnl`	Deformable Image Registration with Deep Network Priors: a Study on Longitudinal PET Images. CoRR 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
2020	—	`conf`	Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images EMBC Constance Fourcade, Ludovic Ferrer, Gianmarco Santini, Noémie Moreau, Caroline Rousseau, Marie Lacombe, Camille Guillerminet, Mathilde Colombié, Mario Campone, Diana Mateus, Mathieu Rubeaux
2020	—	`conf`	Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer EMBC Noémie Moreau, Caroline Rousseau, Constance Fourcade, Gianmarco Santini, Ludovic Ferrer, Marie Lacombe, Camille Guillerminet, Mario Campone, Mathilde Colombié, Mathieu Rubeaux, Nicolas Normand
2019	—	`—`	Deep learning for medical image analysis. Gianmarco Santini
2019	J	`jnl`	Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge. CoRR Gianmarco Santini, Noémie Moreau, Mathieu Rubeaux
2018	J	`jnl`	Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging. CoRR Gabriele Valvano, Gianmarco Santini, Nicola Martini, Andrea Ripoli, Chiara Iacconi, Dante Chiappino, Daniele Della Latta
2018	J	`jnl`	Synthetic contrast enhancement in cardiac CT with Deep Learning. CoRR Gianmarco Santini, Lorena M. Zumbo, Nicola Martini, Gabriele Valvano, Andrea Leo, Andrea Ripoli, Francesco Avogliero, Dante Chiappino, Daniele Della Latta
2018	J	`jnl`	Training of a Skull-Stripping Neural Network with efficient data augmentation. CoRR Gabriele Valvano, Nicola Martini, Andrea Leo, Gianmarco Santini, Daniele Della Latta, Emiliano Ricciardi, Dante Chiappino
2017	J	`jnl`	An automatic deep learning approach for coronary artery calcium segmentation. CoRR Gianmarco Santini, Daniele Della Latta, Nicola Martini, Giuseppe Valvano, A. Gori, Andrea Ripoli, C. L. Susini, Luigi Landini, Dante Chiappino