Automatic Landmarking of Cephalograms by Cellular Neural Networks. - Daniela Giordano; Rosalia Leonardi; Francesco Maiorana; Gabriele Cristaldi; Maria Luisa Distefano (AIME, 2005)

Cellular Neural Networks and Dynamic Enhancement for Cephalometric Landmarks Detection. - Daniela Giordano; Rosalia Leonardi; Francesco Maiorana; Concetto Spampinato (ICAISC, 2006)

An Automatic System for Skeletal Bone Age Measurement by Robust Processing of Carpal and Epiphysial/Metaphysial Bones. - Daniela Giordano; Concetto Spampinato; Giacomo Scarciofalo; Rosalia Leonardi (IEEE Trans. Instrum. Meas., 2010)

A learning tool for assessing skeletal bone age in radiology. - Alberto Faro; Daniela Giordano; Concetto Spampinato; Rosalia Leonardi (CBMS, 2011)

Automatic 3D segmentation of mandible for assessment of facial asymmetry. - Concetto Spampinato; Carmelo Pino; Daniela Giordano; Rosalia Leonardi (MeMeA, 2012)

Effects of monitor size on accuracy and time needed to detect cephalometric radiographs landmarks. - Daniela Giordano; Francesco Maiorana; Rosalia Leonardi (Displays, 2012)

Deep learning for automated skeletal bone age assessment in X-ray images. - Concetto Spampinato; Simone Palazzo; Daniela Giordano; Marco Aldinucci; Rosalia Leonardi (Medical Image Anal., 2017)

Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans. - Francesca Murabito; Simone Palazzo; Federica Proietto Salanitri; Francesco Rundo; Ulas Bagci; Daniela Giordano; Rosalia Leonardi; Concetto Spampinato (ICPR, 2020)

Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans. - Simone Palazzo; Giovanni Bellitto; Luca Prezzavento; Francesco Rundo; Ulas Bagci; Daniela Giordano; Rosalia Leonardi; Concetto Spampinato (ICPR, 2020)