Automating Lung Cancer Identification in PET/CT Imaging. - Eleonora D'Arnese; Emanuele Del Sozzo; Arturo Chiti; Tanya Y. Berger-Wolf; Marco D. Santambrogio (RTSI, 2018)

Recurrence-specific supervised graph clustering for subtyping Hodgkin Lymphoma radiomic phenotypes. - Lara Cavinato; Noemi Gozzi; Martina Sollini; Carmelo Carlo-Stella; Arturo Chiti; Francesca Ieva (EMBC, 2021)

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

Early Experiences on using Triplet Networks for Histological Subtype Classification in Non-Small Cell Lung Cancer. - Fatih Aksu; Fabrizia Gelardi; Arturo Chiti; Paolo Soda (CBMS, 2023)

Explainable domain transfer of distant supervised cancer subtyping model via imaging-based rules extraction. - Lara Cavinato; Noemi Gozzi; Martina Sollini; Margarita Kirienko; Carmelo Carlo-Stella; Chiara Rusconi; Arturo Chiti; Francesca Ieva (Artif. Intell. Medicine, 2023)

Mapping Tumor Heterogeneity via Local Entropy Assessment: Making Biomarkers Visible. - Guido Costa; Lara Cavinato; Francesco Fiz; Martina Sollini; Arturo Chiti; Guido Torzilli; Francesca Ieva; Luca Viganò 004 (J. Digit. Imaging, 2023)

Toward a Multimodal Deep Learning Approach for Histological Subtype Classification in NSCLC. - Fatih Aksu; Fabrizia Gelardi; Arturo Chiti; Paolo Soda (BIBM, 2024)

Enhancing NSCLC Histological Subtype Classification: A Federated Learning Approach Using Triplet Loss. - Fatih Aksu; Ermanno Cordelli; Fabrizia Gelardi; Arturo Chiti; Paolo Soda (ICPR (Workshops and Challenges, 2), 2024)

NSCLC histological subtype classification from CT scans using generalist 3D medical foundation models. - Fatih Aksu; Fabrizia Gelardi; Arturo Chiti; Paolo Soda (ICHI, 2025)

Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET. - Fatih Aksu; Fabrizia Gelardi; Arturo Chiti; Paolo Soda (Pattern Recognit. Lett., 2025)