Stiffness and Compliance of Kinematic Chains in Motion. - Claudia Caudai (2009)

Evaluating Hebbian Self-Organizing Memories for Lexical Representation and Access. - Claudia Marzi; Marcello Ferro; Claudia Caudai; Vito Pirrelli (LREC, 2012)

Inferring 3D chromatin structure using a multiscale approach based on quaternions. - Claudia Caudai; Emanuele Salerno; Monica Zoppè; Anna Tonazzini (BMC Bioinform., 2015)

Computational Estimation of Chromosome Structure. - Claudia Caudai; Emanuele Salerno (ERCIM News, 2016)

Parallelizable Strategy for the Estimation of the 3D Structure of Biological Macromolecules. - Claudia Caudai; Monica Zoppè; Emanuele Salerno; Ivan Merelli; Anna Tonazzini (PDP, 2018)

Radiomics to Predict Prostate CancerAggressiveness: A Preliminary Study. - Danila Germanese; Elena Bertelli; Simone Agostini; Laura Mercatelli; Sara Colantonio; Vittorio Miele; Maria Antonietta Pascali; Claudia Caudai; Nicola Zoppetti; Roberto Carpi; Andrea Barucci 001 (BIBE, 2019)

May Radiomic Data Predict Prostate Cancer Aggressiveness? - Danila Germanese; Sara Colantonio; Claudia Caudai; Maria Antonietta Pascali; Andrea Barucci 001; Nicola Zoppetti; Simone Agostini; Elena Bertelli; Laura Mercatelli; Vittorio Miele; Roberto Carpi (CAIP Workshops, 2019)

ChromStruct 4: A Python Code to Estimate the Chromatin Structure from Hi-C Data. - Claudia Caudai; Emanuele Salerno; Monica Zoppè; Ivan Merelli; Anna Tonazzini (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Estimation of the Spatial Chromatin Structure Based on a Multiresolution Bead-Chain Model. - Claudia Caudai; Emanuele Salerno; Monica Zoppè; Anna Tonazzini (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

A Deep Learning Approach for Hepatic Steatosis Estimation from Ultrasound Imaging. - Sara Colantonio; Antonio Salvati; Claudia Caudai; Ferruccio Bonino; Laura De Rosa; Maria Antonietta Pascali; Danila Germanese; Maurizia Rossana Brunetto; Francesco Faita (ICCCI (CCIS Volume), 2021)

Data Models for an Imaging Bio-bank for Colorectal, Prostate and Gastric Cancer: the NAVIGATOR Project. - Andrea Berti; Gianluca Carloni; Sara Colantonio; Maria Antonietta Pascali; Paolo Manghi; Pasquale Pagano; Rossana Buongiorno; Eva Pachetti; Claudia Caudai; Domenico Di Gangi; Emanuele Carlini; Zeno Falaschi; et al. (BHI, 2022)

Medical Waste Sorting: A Computer Vision Approach For Assisted Primary Sorting. - Antonio Bruno; Claudia Caudai; Giuseppe Riccardo Leone; Massimo Martinelli; Davide Moroni; F. Crotti (ICASSP Workshops, 2023)

Exploring the potentials and challenges of Artificial Intelligence in supporting clinical diagnostics and remote assistance for the health and well-being of individuals. - Andrea Berti; Rossana Buongiorno; Gianluca Carloni; Claudia Caudai; Giulio Del Corso; Danila Germanese; Eva Pachetti; Maria Antonietta Pascali; Sara Colantonio (Ital-IA, 2023)

Complementing Hi-C information for 3D chromatin reconstruction by ChromStruct. - Claudia Caudai; Emanuele Salerno (Frontiers Bioinform., 2023)

From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment. - Andrea Berti; Rossana Buongiorno; Gianluca Carloni; Claudia Caudai; Francesco Conti 004; Giulio Del Corso; Danila Germanese; Davide Moroni; Eva Pachetti; Maria Antonietta Pascali; Sara Colantonio (Ital-IA, 2024)

Advancing Sustainability: Research Initiatives at the Signals and Images Lab. - Antonio Bruno; Claudia Caudai; Francesco Conti 004; Massimo Martinelli; Giuseppe Riccardo Leone; Massimo Magrini; Davide Moroni; Ch Muhammad Awais; Oscar Papini; Maria Antonietta Pascali; Gabriele Pieri; Marco Reggiannini; et al. (Ital-IA, 2024)

Data and System Traceability for Transparent AI in Medical Imaging. - Sara Colantonio; Andrea Berti; Gianluca Carloni; Claudia Caudai; Giulio Del Corso; Danila Germanese; Eva Pachetti; Maria Antonietta Pascali; Varvara Kalokyri; Haridimos Kondylakis; Charalampos Kalantzopoulos; Nikolaos S. Tachos; et al. (SEBD, 2024)

Shedding light on uncertainties in machine learning: formal derivation and optimal model selection. - Giulio Del Corso; Sara Colantonio; Claudia Caudai (J. Frankl. Inst., 2025)