Fast convergence for spectral clustering. - Marco Aiello 003; F. Andreozzi; Ezio Catanzariti; Francesco Isgrò; Matteo Santoro (ICIAP, 2007)

Multisite longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging of healthy elderly subjects. - Jorge Jovicich; Moira Marizzoni; Beatriz Bosch; David Bartrés-Faz; Jennifer Arnold; Jens Benninghoff; Jens Wiltfang; Luca Roccatagliata; Agnese Picco; Flavio Nobili; Olivier Blin; Stephanie Bombois; et al. (NeuroImage, 2014)

Relationship between simultaneously acquired resting-state regional cerebral glucose metabolism and functional MRI: A PET/MR hybrid scanner study. - Marco Aiello 003; Elena Salvatore; Arnaud Cachia; Sabina Pappatà; Carlo Cavaliere; Anna Prinster; Emanuele Nicolai; Marco Salvatore; Jean-Claude Baron; Mario Quarantelli (NeuroImage, 2015)

Longitudinal reproducibility of default-mode network connectivity in healthy elderly participants: A multicentric resting-state fMRI study. - Jorge Jovicich; Ludovico Minati; Moira Marizzoni; Rocco Marchitelli; Roser Sala-Llonch; David Bartrés-Faz; Jennifer Arnold; Jens Benninghoff; Ute Fiedler; Luca Roccatagliata; Agnese Picco; Flavio Nobili; et al. (NeuroImage, 2016)

Simultaneous resting-state FDG-PET/fMRI in Alzheimer Disease: Relationship between glucose metabolism and intrinsic activity. - Rocco Marchitelli; Marco Aiello 003; Arnaud Cachia; Mario Quarantelli; Carlo Cavaliere; Alfredo Postiglione; Gioacchino Tedeschi; Patrizia Montella; Graziella Milan; Marco Salvatore; Elena Salvatore; Jean-Claude Baron; et al. (NeuroImage, 2018)

A random initialization deep neural network for discriminating malignant breast cancer lesions. - Andrea Duggento; Manuel Scimeca; Nicoletta Urbano; Elena Bonanno; Marco Aiello 003; Carlo Cavaliere; Giuseppe Leonardo Cascella; Davide Cascella; Giovanni Conte; Maria Guerrisi; Nicola Toschi (EMBC, 2019)

A network performance view of a biobanking system for diagnostic images. - Giusy Esposito; Giulio Pagliari; Gianluca Coppola; Marco Aiello 003; Marco Salvatore; Giuseppe Aceto; Antonio Pescapè (ISCC, 2020)

Amygdalar nuclei and hippocampal subfields on MRI: Test-retest reliability of automated volumetry across different MRI sites and vendors. - Giulia Quattrini; Michela Pievani; Jorge Jovicich; Marco Aiello 003; Núria Bargalló; Frederik Barkhof; David Bartrés-Faz; Alberto Beltramello; Francesca Benedetta Pizzini; Olivier Blin; Régis Bordet; Massimo Caulo; et al. (NeuroImage, 2020)

Structural Brain Network Reproducibility: Influence of Different Diffusion Acquisition and Tractography Reconstruction Schemes on Graph Metrics. - Pasquale Borrelli; Carlo Cavaliere; Marco Salvatore; Jorge Jovicich; Marco Aiello 003 (Brain Connect., 2022)

Variability of regional glucose metabolism and the topology of functional networks in the human brain. - Alessandro Palombit; Erica Silvestri; Tommaso Volpi; Marco Aiello 003; Diego Cecchin; Alessandra Bertoldo; Maurizio Corbetta (NeuroImage, 2022)

A Two-Step Feature Selection Radiomic Approach to Predict Molecular Outcomes in Breast Cancer. - Valentina Brancato; Nadia Brancati; Giusy Esposito; Massimo La Rosa; Carlo Cavaliere; Ciro Allarà; Valeria Romeo; Giuseppe De Pietro; Marco Salvatore; Marco Aiello 003; Mara Sangiovanni (Sensors, 2023)

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. - Luuk H. Boulogne; Julian Lorenz; Daniel Kienzle; Robin Schön; Katja Ludwig; Rainer Lienhart; Simon Jégou; Guang Li; Cong Chen; Qi Wang; Derik Shi; Mayug Maniparambil; et al. (Medical Image Anal., 2024)

Unveiling key pathomic features for automated diagnosis and Gleason grade estimation in prostate cancer. - Valentina Brancato; Mario Verdicchio; Carlo Cavaliere; Francesco Isgrò; Marco Salvatore; Marco Aiello 003 (BMC Medical Imaging, 2025)