A Multi-label Architecture for Vision-based Measurement of Intervals of Pain. - Paola Casti; Arianna Mencattini; Maria Colomba Comes; Eugenio Martinelli; Silvia Natoli; Mauro Dauri; Elena Daprati (MeMeA, 2018)

A closed-form solution to the graph total variation problem for continuous emotion profiling in noisy environment. - Shaoling Jing; Xia Mao; Lijiang Chen; Maria Colomba Comes; Arianna Mencattini; Grazia Raguso; Fabien Ringeval; Björn W. Schuller; Corrado Di Natale; Eugenio Martinelli (Speech Commun., 2018)

Learning Cancer-Related Drug Efficacy Exploiting Consensus in Coordinated Motility Within Cell Clusters. - Davide Di Giuseppe; Francesca Corsi; Arianna Mencattini; Maria Colomba Comes; Paola Casti; Corrado Di Natale; Lina Ghibelli; Eugenio Martinelli (IEEE Trans. Biomed. Eng., 2019)

The Influence of Uncertainty Contributions on Deep Learning Architectures in Vision-Based Evaluation Systems. - Giuseppina Callari; Arianna Mencattini; Paola Casti; Maria Colomba Comes; Davide Di Giuseppe; Corrado Di Natale; Innocenzo Sammarco; Antonio Pietroiusti; Andrea Magrini; Giorgio Isidoro Lesci; Marco Luce; Antonio L. Cricenti; et al. (IEEE Trans. Instrum. Meas., 2019)

Calibration of Vision-Based Measurement of Pain Intensity With Multiple Expert Observers. - Paola Casti; Arianna Mencattini; Maria Colomba Comes; Giuseppina Callari; Davide Di Giuseppe; Silvia Natoli; Mauro Dauri; Elena Daprati; Eugenio Martinelli (IEEE Trans. Instrum. Meas., 2019)

A Personalized Assessment Platform for Non-invasive Monitoring of Pain. - Paola Casti; Arianna Mencattini; Joanna Filippi; Michele D'Orazio; Maria Colomba Comes; Davide Di Giuseppe; Eugenio Martinelli (MeMeA, 2020)

A microfluidic device for shape measurement in red blood cells (RBCs). - Arianna Mencattini; Davide Di Giuseppe; Michele D'Orazio; Valeria Rizzuto; M. M. Mañú Pereira; Maria Colomba Comes; Maria José Lopez-Martinez; Josep Samitier; Eugenio Martinelli (MeMeA, 2020)

ADMM-DIPTV: combining Total Variation and Deep Image Prior for image restoration. - Pasquale Cascarano; Andrea Sebastiani; Maria Colomba Comes (CoRR, 2020)

A Camera Sensors-Based System to Study Drug Effects on In Vitro Motility: The Case of PC-3 Prostate Cancer Cells. - Maria Colomba Comes; Arianna Mencattini; Davide Di Giuseppe; Joanna Filippi; Michele D'Orazio; Paola Casti; Francesca Corsi; Lina Ghibelli; Corrado Di Natale; Eugenio Martinelli (Sensors, 2020)

Integrating Machine Learning and Sensors for the Development of Organ-on-Chip Platforms for Medical Diagnosis. - Arianna Mencattini; Davide Di Giuseppe; Paola Casti; Michele D'Orazio; Joanna Filippi; Maria Colomba Comes; Gianni Antonelli; Corrado Di Natale; Eugenio Martinelli (AISEM, 2021)

Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM. - Pasquale Cascarano; Andrea Sebastiani; Maria Colomba Comes; Giorgia Franchini; Federica Porta (ICCSA (Workshops), 2021)

Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments. - Pasquale Cascarano; Maria Colomba Comes; Arianna Mencattini; Maria Carla Parrini; Elena Loli Piccolomini; Eugenio Martinelli (Medical Image Anal., 2021)

Multi-scale generative adversarial network for improved evaluation of cell-cell interactions observed in organ-on-chip experiments. - Maria Colomba Comes; Joanna Filippi; Arianna Mencattini; Paola Casti; Giulia Cerrato; Allan Sauvat; Erika Vacchelli; Adele De Ninno; Davide Di Giuseppe; Michele D'Orazio; Fabrizio Mattei; Giovanna Schiavoni; et al. (Neural Comput. Appl., 2021)

NeuriTES. Monitoring neurite changes through transfer entropy and semantic segmentation in bright-field time-lapse microscopy. - Arianna Mencattini; Alida Spalloni; Paola Casti; Maria Colomba Comes; Davide Di Giuseppe; Gianni Antonelli; Michele D'Orazio; Joanna Filippi; Francesca Corsi; Hervé Isambert; Corrado Di Natale; Patrizia Longone; et al. (Patterns, 2021)

Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death. - Irina Veith; Arianna Mencattini; Valentin Picant; Marco Serra; Marine Leclerc; Maria Colomba Comes; Fathia Mami-Chouaib; Jacques Camonis; Stéphanie Descroix; Hamasseh Shirvani; Fatima Mechta-Grigoriou; Gérard Zalcman; et al. (PLoS Comput. Biol., 2021)

Metrological Characterization of a Pain Detection System Based on Transfer Entropy of Facial Landmarks. - Paola Casti; Arianna Mencattini; Joanna Filippi; Michele D'Orazio; Maria Colomba Comes; Davide Di Giuseppe; Eugenio Martinelli (IEEE Trans. Instrum. Meas., 2021)

DeepCEL0 for 2D single-molecule localization in fluorescence microscopy. - Pasquale Cascarano; Maria Colomba Comes; Andrea Sebastiani; Arianna Mencattini; Elena Loli Piccolomini; Eugenio Martinelli (Bioinform., 2022)

S3-VAE: A novel Supervised-Source-Separation Variational AutoEncoder algorithm to discriminate tumor cell lines in time-lapse microscopy images. - Paola Casti; Sara Cardarelli; Maria Colomba Comes; Michele D'Orazio; Joanna Filippi; Gianni Antonelli; Arianna Mencattini; Corrado Di Natale; Eugenio Martinelli (Expert Syst. Appl., 2023)

Explainable 3D CNN based on baseline breast DCE-MRI to give an early prediction of pathological complete response to neoadjuvant chemotherapy. - Maria Colomba Comes; Annarita Fanizzi; Samantha Bove; Vittorio Didonna; Sergio Diotiaiuti; Federico Fadda; Daniele La Forgia; Francesco Giotta; Agnese Latorre; Annalisa Nardone; Gennaro Palmiotti; Cosmo Maurizio Ressa; et al. (Comput. Biol. Medicine, 2024)

Explainable machine learning for predicting recurrence-free survival in endometrial carcinosarcoma patients. - Samantha Bove; Francesca Arezzo; Gennaro Cormio; Erica Silvestris; Alessia Cafforio; Maria Colomba Comes; Annarita Fanizzi; Giuseppe Accogli; Gerardo Cazzato; Giorgio De Nunzio; Brigida Maiorano; Emanuele Naglieri; et al. (Frontiers Artif. Intell., 2024)