Chest X-Rays Image Classification from $ beta{-}$ Variational Autoencoders Latent Features. - Leonardo Crespi; Daniele Loiacono; Arturo Chiti (SSCI, 2021)

Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation? - Leonardo Crespi; Daniele Loiacono; Pierandrea Sartori (IJCNN, 2022)

Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images. - Leonardo Crespi; Mattia Portanti; Daniele Loiacono (CBMS, 2023)

Ensemble Methods for Multi-Organ Segmentation in CT series. - Leonardo Crespi; Paolo Roncaglioni; Damiano Dei; Ciro Franzese; Nicola Lambri; Daniele Loiacono; Pietro Mancosu; Marta Scorsetti (CBMS, 2023)

Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIs. - Leonardo Crespi; Samuele Camnasio; Damiano Dei; Nicola Lambri; Pietro Mancosu; Marta Scorsetti; Daniele Loiacono (CoRR, 2024)

ARTInp: CBCT-to-CT Image Inpainting and Image Translation in Radiotherapy. - Ricardo Coimbra Brioso; Leonardo Crespi; Andrea Seghetto; Damiano Dei; Nicola Lambri; Pietro Mancosu; Marta Scorsetti; Daniele Loiacono (CoRR, 2025)