An automatic deep learning approach for coronary artery calcium segmentation. - Gianmarco Santini; Daniele Della Latta; Nicola Martini; Giuseppe Valvano; A. Gori; Andrea Ripoli; C. L. Susini; Luigi Landini; Dante Chiappino (CoRR, 2017)

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)

Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge. - Gianmarco Santini; Noémie Moreau; Mathieu Rubeaux (CoRR, 2019)

Deep learning for medical image analysis. - Gianmarco Santini (2019)

Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images*. - Constance Fourcade; Ludovic Ferrer; Gianmarco Santini; Noémie Moreau; Caroline Rousseau; Marie Lacombe; Camille Guillerminet; Mathilde Colombié; Mario Campone; Diana Mateus; Mathieu Rubeaux (EMBC, 2020)

Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer*. - Noémie Moreau; Caroline Rousseau; Constance Fourcade; Gianmarco Santini; Ludovic Ferrer; Marie Lacombe; Camille Guillerminet; Mario Campone; Mathilde Colombié; Mathieu Rubeaux; Nicolas Normand (EMBC, 2020)

Comparison between threshold-based and deep learning-based bone segmentation on whole-body CT images. - Noémie Moreau; Caroline Rousseau; Constance Fourcade; Gianmarco Santini; Ludovic Ferrer; Marie Lacombe; Camille Guillerminet; Pascal Jézéquel; Mario Campone; Nicolas Normand; Mathieu Rubeaux (Computer-Aided Diagnosis, 2021)

Automatic classification of benign and malignant kidney masses using radiomics. A retrospective study exploiting the KiTS19 dataset. - Gianmarco Santini; Yvon Nzoughet Obame; Constance Fourcade; Noémie Moreau; Mathieu Rubeaux (Image Processing, 2021)

Deformable Image Registration with Deep Network Priors: a Study on Longitudinal PET Images. - Constance Fourcade; Ludovic Ferrer; Noémie Moreau; Gianmarco Santini; Aishlinn Brennan; Caroline Rousseau; Marie Lacombe; Vincent Fleury; Mathilde Colombié; Pascal Jézéquel; Mario Campone; Mathieu Rubeaux; et al. (CoRR, 2021)

Influence of inputs for bone lesion segmentation in longitudinal 18F-FDG PET/CT imaging studies. - Noémie Moreau; Caroline Rousseau; Constance Fourcade; Gianmarco Santini; Ludovic Ferrer; Marie Lacombe; Camille Guillerminet; Mathilde Colombié; Pascal Jézéquel; Mario Campone; Mathieu Rubeaux; Nicolas Normand (EMBC, 2022)