Optical Fiber Nanotips Coated with Molecular Beacons for DNA Detection. - Ambra Giannetti; Andrea Barucci 001; Franco Cosi; Stefano Pelli; Sara Tombelli; Cosimo Trono; Francesco Baldini (Sensors, 2015)

Magnetic Resonance Spectroscopy Data Analysis for Clinical Applications . (Analyse des données Spectroscopie par résonance magnétique pour les applications cliniques). - Andrea Barucci 001 (2015)

Optical Microbubble Resonators with High Refractive Index Inner Coating for Bio-Sensing Applications: An Analytical Approach. - Andrea Barucci 001; Simone Berneschi; Ambra Giannetti; Francesco Baldini; Alessandro Cosci; Stefano Pelli; Daniele Farnesi; Giancarlo Cesare Righini; Silvia Soria; Gualtiero Nunzi Conti (Sensors, 2016)

Resonance Frequency of Optical Microbubble Resonators: Direct Measurements and Mitigation of Fluctuations. - Alessandro Cosci; Simone Berneschi; Ambra Giannetti; Daniele Farnesi; Franco Cosi; Francesco Baldini; Gualtiero Nunzi Conti; Silvia Soria; Andrea Barucci 001; Giancarlo Righini; Stefano Pelli (Sensors, 2016)

A Review on the Role of Water Diffusion Modeling in Magnetic Resonance Imaging of Prostate Cancer. - Andrea Barucci 001; Daniele Farnesi; Fulvio Ratto; Roberto Pini; Roberto Carpi; Marco Esposito; Maristella Olmastroni; Giovanna Zatelli (COMPENG, 2018)

Exposing Cancer's Complexity Using Radiomics in Clinical Imaging An Investigation on the Role of Histogram Analysis as Imaging Biomarker to Unravel Intra-Tumour Heterogeneity. - Andrea Barucci 001; Daniele Farnesi; Fulvio Ratto; Roberto Pini; Roberto Carpi; Maristella Olmastroni; Massimo Materassi; Chiara Romei; Alessandro Taliani (COMPENG, 2018)

Fractal-Radiomics as Complexity Analysis of CT and MRI Cancer Images. - Andrea Barucci 001; Daniele Farnesi; Fulvio Ratto; Stefano Pelli; Roberto Pini; Roberto Carpi; Marco Esposito; Maristella Olmastroni; Chiara Romei; Alessandro Taliani; Massimo Materassi (COMPENG, 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)

Radiomics to Support Precision Medicine in Oncology. - Sara Colantonio; Andrea Barucci 001; Danila Germanese (ERCIM News, 2019)

A Deep Learning Approach to Ancient Egyptian Hieroglyphs Classification. - Andrea Barucci 001; Costanza Cucci; Massimiliano Franci; Marco Loschiavo; Fabrizio Argenti (IEEE Access, 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)

Exploring the complexity of African populations variability with Machine Learning. - Tommaso Mori; Alessandro Riga; Jacopo Moggi-Cecchi; Chiara Canfailla; Andrea Barucci 001 (COMPENG, 2022)

Efficacy of MRI data harmonization in the age of machine learning. A multicenter study across 36 datasets. - Chiara Marzi; Marco Giannelli; Andrea Barucci 001; Carlo Tessa; Mario Mascalchi; Stefano Diciotti (CoRR, 2022)

Asteroids co-orbital motion classification based on Machine Learning. - Giulia Ciacci; Andrea Barucci 001; Sara Di Ruzza; Elisa Maria Alessi (CoRR, 2023)

Egyptian Hieroglyphs Segmentation with Convolutional Neural Networks. - Tommaso Guidi; Lorenzo Python; Matteo Forasassi; Costanza Cucci; Massimiliano Franci; Fabrizio Argenti; Andrea Barucci 001 (Algorithms, 2023)

Artificial Intelligence-powered fossil shark tooth identification: Unleashing the potential of Convolutional Neural Networks. - Andrea Barucci 001; Giulia Ciacci; Pietro Liò; Tiago Azevedo; Andrea Di Cencio; Marco Merella; Giovanni Bianucci; Giulia Bosio; Simone Casati; Alberto Collareta (CoRR, 2024)