Prognostic prediction of therapeutic response in depression using high-field MR imaging. - Qiyong Gong; Qizhu Wu; Cristina Scarpazza; Su Lui; Zhiyun Jia; Andre F. Marquand; Xiaoqi Huang; Philip K. McGuire; Andrea Mechelli (NeuroImage, 2011)

When the single matters more than the group: Very high false positive rates in single case Voxel Based Morphometry. - Cristina Scarpazza; Giuseppe Sartori; Maria Stefania De Simone; Andrea Mechelli (NeuroImage, 2013)

Psychiatric Disorders Classification with 3D Convolutional Neural Networks. - Stefano Campese; Ivano Lauriola; Cristina Scarpazza; Giuseppe Sartori; Fabio Aiolli (INNSBDDL, 2019)

Using Blink Rate to Detect Deception: A Study to Validate an Automatic Blink Detector and a New Dataset of Videos from Liars and Truth-Tellers. - Merylin Monaro; Pasquale Capuozzo; Federica Ragucci; Antonio Maffei; Antonietta Curci; Cristina Scarpazza; Alessandro Angrilli; Giuseppe Sartori (HCI (3), 2020)

Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners. - Rafael Garcia-Dias; Cristina Scarpazza; Lea Baecker; Sandra Vieira; Walter H. L. Pinaya; Aiden P. Corvin; Alberto Redolfi; Barnaby Nelson; Benedicto Crespo-Facorro; Colm McDonald; Diana Tordesillas-Gutiérrez; Dara M. Cannon; et al. (NeuroImage, 2020)

From ATOM to GradiATOM: Cortical gradients support time and space processing as revealed by a meta-analysis of neuroimaging studies. - Giorgia Cona; Martin Wiener 002; Cristina Scarpazza (NeuroImage, 2021)

Face the Truth: Interpretable Emotion Genuineness Detection. - Matteo Cardaioli; Alessio Miolla; Mauro Conti; Giuseppe Sartori; Merylin Monaro; Cristina Scarpazza; Nicolò Navarin (IJCNN, 2022)

Detecting deception through facial expressions in a dataset of videotaped interviews: A comparison between human judges and machine learning models. - Merylin Monaro; Stéphanie Maldera; Cristina Scarpazza; Giuseppe Sartori; Nicolò Navarin (Comput. Hum. Behav., 2022)