Explainable Deep Learning for Alzheimer Disease Classification and Localisation. - Marcello Di Giammarco; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Fabrizio Ravelli; Antonella Santone (AII, 2022)

Deep Learning for Heartbeat Phonocardiogram Signals Explainable Classification. - Mario Cesarelli; Marcello Di Giammarco; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (BIBE, 2022)

Explainable Deep Learning Methodologies for Biomedical Images Classification. - Marcello Di Giammarco; Francesco Mercaldo; Fabio Martinelli; Antonella Santone (ICDCS, 2022)

COVID-19 Detection from Cough Recording by means of Explainable Deep Learning. - Mario Cesarelli; Marcello Di Giammarco; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone; Michele Tavone (ICMLA, 2022)

Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping. - Marcello Di Giammarco; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IJCNN, 2022)

High Grade Brain Cancer Segmentation by means of Deep Learning. - Marcello Di Giammarco; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2022)

Data Poisoning Attacks over Diabetic Retinopathy Images Classification. - Fabio Martinelli; Francesco Mercaldo; Marcello Di Giammarco; Antonella Santone (IEEE Big Data, 2023)

TriAD: A Deep Ensemble Network for Alzheimer Classification and Localization. - Francesco Mercaldo; Marcello Di Giammarco; Fabrizio Ravelli; Fabio Martinelli; Antonella Santone; Mario Cesarelli (IEEE Access, 2023)

Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks. - Francesco Mercaldo; Marcello Di Giammarco; Arianna Apicella; Giacomo Iadarola; Mario Cesarelli; Fabio Martinelli; Antonella Santone (Neural Comput. Appl., 2023)

Reliable Leukemia diagnosis and localization through Explainable Deep Learning. - Marcello Di Giammarco; Benedetta Dukic; Fabio Martinelli; Mario Cesarelli; Fabrizio Ravelli; Antonella Santone; Francesco Mercaldo (IDSTA, 2024)

Alzheimer's Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks. - Francesco Mercaldo; Marcello Di Giammarco; Fabrizio Ravelli; Fabio Martinelli; Antonella Santone; Mario Cesarelli (Int. J. Neural Syst., 2024)

On the Detection of Retinal Image Synthesis Obtained Through Generative Adversarial Network. - Marcello Di Giammarco; Antonella Santone; Mario Cesarelli; Fabio Martinelli; Francesco Mercaldo (BIOSTEC (1), 2025)

Explainable retinal disease classification and localization through Convolutional Neural Networks. - Marcello Di Giammarco; Antonella Santone; Mario Cesarelli; Fabio Martinelli; Francesco Mercaldo (Image Vis. Comput., 2025)

A method for skin lesion detection and localization by means of Deep Learning and reliable prediction explainability. - Marcello Di Giammarco; Antonella Santone; Mario Cesarelli; Fabio Martinelli; Francesco Mercaldo (Image Vis. Comput., 2025)

Explainable Deep Learning for Breast Cancer Classification and Localization. - Marcello Di Giammarco; Camilla Vitulli; Simone Cirnelli; Benedetta Masone; Antonella Santone; Mario Cesarelli; Fabio Martinelli; Francesco Mercaldo (ACM Trans. Comput. Heal., 2025)