Normal and Triangular Determinantal Representations of Multivariate Polynomials. - Massimo Salvi (CoRR, 2018)

Automatic Extraction of Dermatological Parameters from Nevi Using an Inexpensive Smartphone Microscope: A Proof of Concept. - Kristen M. Meiburger; Federica Veronese; Vanessa Tarantino; Massimo Salvi; Matteo Fadda; Silvia Seoni; Elisa Zavattaro; Bruno De Santi; Nicola Michielli; Paola Savoia; Filippo Molinari (EMBC, 2019)

Multimodal T2w and DWI Prostate Gland Automated Registration. - Bruno De Santi; Massimo Salvi; Valentina Giannini; Kristen M. Meiburger; Nicola Michielli; Silvia Seoni; Daniele Regge; Filippo Molinari (EMBC, 2019)

Non-invasive analysis of actinic keratosis using a cold stimulation and near-infrared spectroscopy. - Silvia Seoni; Federica Veronese; Vanessa Tarantino; Elisa Zavattaro; Massimo Salvi; Nicola Michielli; Bruno De Santi; Filippo Molinari; Paola Savoia; Kristen M. Meiburger (EMBC, 2019)

Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma. - Massimo Salvi; Filippo Molinari; Natalia Dogliani; Martino Bosco (Comput. Biol. Medicine, 2019)

Modellizzazione ed Interpretazione dei Processi Fisiopatologici attraverso Immagini Mediche Multimodali e Multiscala. - Massimo Salvi (2019)

Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks. - Francesco Marzola; Nens van Alfen; Massimo Salvi; Bruno De Santi; Jonne Doorduin; Kristen M. Meiburger (EMBC, 2020)

Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images. - Bruno De Santi; Massimo Salvi; Valentina Giannini; Kristen M. Meiburger; Francesco Marzola; Filippo Russo; Martino Bosco; Filippo Molinari (EMBC, 2020)

A two-dimensional clinical gait analysis protocol based on markerless recordings from a single RGB-Depth camera. - Diletta Balta; Massimo Salvi; Filippo Molinari; Giulio Figari; Gabriele Paolini; Ugo Della Croce; Andrea Cereatti (MeMeA, 2020)

Fully automated quantitative assessment of hepatic steatosis in liver transplants. - Massimo Salvi; Luca Molinaro; Jasna Metovic; Damiano Patrono; Renato Romagnoli; Mauro Papotti; Filippo Molinari (Comput. Biol. Medicine, 2020)

Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology. - Massimo Salvi; Nicola Michielli; Filippo Molinari (Comput. Methods Programs Biomed., 2020)

A hybrid deep learning approach for gland segmentation in prostate histopathological images. - Massimo Salvi; Martino Bosco; Luca Molinaro; Alessandro Gambella; Mauro Papotti; U. Rajendra Acharya; Filippo Molinari (Artif. Intell. Medicine, 2021)

The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis. - Massimo Salvi; U. Rajendra Acharya; Filippo Molinari; Kristen M. Meiburger (Comput. Biol. Medicine, 2021)

Automated assessment of glomerulosclerosis and tubular atrophy using deep learning. - Massimo Salvi; Alessandro Mogetta; Alessandro Gambella; Luca Molinaro; Antonella Barreca; Mauro Papotti; Filippo Molinari (Comput. Medical Imaging Graph., 2021)

DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks. - Massimo Salvi; Francesco Branciforti; Federica Veronese; Elisa Zavattaro; Vanessa Tarantino; Paola Savoia; Kristen M. Meiburger (Comput. Methods Programs Biomed., 2022)

Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images. - Massimo Salvi; Bruno De Santi; Bianca Pop; Martino Bosco; Valentina Giannini; Daniele Regge; Filippo Molinari; Kristen M. Meiburger (J. Imaging, 2022)

Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study. - Francesco Marzola; Kristen M. Meiburger; Filippo Molinari; Massimo Salvi (DSP, 2023)

Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm. - Francesco Marzola; Kristen M. Meiburger; Filippo Molinari; Massimo Salvi (Computer-Aided Diagnosis, 2023)

A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images. - Mahesh Anil Inamdar; U. Raghavendra; Anjan Gudigar; Sarvesh Bhandary; Massimo Salvi; Ravinesh C. Deo; Prabal Datta Barua; Edward J. Ciaccio; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2023)

YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images. - Vidhya V.; U. Raghavendra; Anjan Gudigar; Sudipta Basak; Sankalp Mallappa; Ajay Hegde; Girish R. Menon; Prabal Datta Barua; Massimo Salvi; Edward J. Ciaccio; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2023)

Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023). - Silvia Seoni; Jahmunah Vicnesh; Massimo Salvi; Prabal Datta Barua; Filippo Molinari; U. Rajendra Acharya (Comput. Biol. Medicine, 2023)

Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase. - Massimo Salvi; Claudia Manini; Jose I. López; Dario Fenoglio; Filippo Molinari (Comput. Medical Imaging Graph., 2023)

CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images. - Tanweer Ali; Sameena Pathan; Massimo Salvi; Kristen M. Meiburger; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2024)

Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images. - Massimo Salvi; Kristen M. Meiburger; Filippo Molinari (IEEE Access, 2024)

A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology. - Massimo Salvi; Alessandro Mogetta; U. Raghavendra; Anjan Gudigar; U. Rajendra Acharya; Filippo Molinari (Appl. Soft Comput., 2024)

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023). - Anjan Gudigar; Nahrizul Adib Kadri; U. Raghavendra; Jyothi Samanth; M. Maithri; Mahesh Anil Inamdar; Mukund A. Prabhu; Ajay Hegde; Massimo Salvi; Chai Hong Yeong; Prabal Datta Barua; Filippo Molinari; et al. (Comput. Biol. Medicine, 2024)

All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems. - Silvia Seoni; Alen Shahini; Kristen M. Meiburger; Francesco Marzola; Giulia Rotunno; U. Rajendra Acharya; Filippo Molinari; Massimo Salvi (Comput. Methods Programs Biomed., 2024)

Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques. - Anirudh Atmakuru; Subrata Chakraborty; Oliver Faust; Massimo Salvi; Prabal Datta Barua; Filippo Molinari; U. Rajendra Acharya; Nusrat Homaira (Expert Syst. Appl., 2024)

Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm. - Massimo Salvi; Francesco Branciforti; Filippo Molinari; Kristen M. Meiburger (Expert Syst. Appl., 2024)

Hybrid Wavelet-Deep Learning Framework for Fluorescence Microscopy Images Enhancement. - Francesco Branciforti; Maura Maggiore; Kristen M. Meiburger; Tania Pannellini; Massimo Salvi (Int. J. Imaging Syst. Technol., 2024)

Computational Synthesis of Histological Stains: A Step Toward Virtual Enhanced Digital Pathology. - Massimo Salvi; Nicola Michielli; Lorenzo Salamone; Alessandro Mogetta; Alessandro Gambella; Luca Molinaro; Mauro Papotti; Filippo Molinari (Int. J. Imaging Syst. Technol., 2024)

Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals. - Silvia Seoni; Filippo Molinari; U. Rajendra Acharya; Shu Lih Oh; Prabal Datta Barua; Salvador García 001; Massimo Salvi (Inf. Sci., 2024)

Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013-2023). - Massimo Salvi; Madhav R. Acharya; Silvia Seoni; Oliver Faust; Ru-San Tan; Prabal Datta Barua; Salvador García 001; Filippo Molinari; U. Rajendra Acharya (WIREs Data. Mining. Knowl. Discov., 2024)

cyto-Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels. - Massimo Salvi; Nicola Michielli; Kristen M. Meiburger; Cristina Cattelino; Bruna Cotrufo; Matteo Giacosa; Chiara Giovanzana; Filippo Molinari (Int. J. Imaging Syst. Technol., 2024)

Multi-modality approaches for medical support systems: A systematic review of the last decade. - Massimo Salvi; Hui Wen Loh; Silvia Seoni; Prabal Datta Barua; Salvador García 001; Filippo Molinari; U. Rajendra Acharya (Inf. Fusion, 2024)

Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications. - Anirudh Atmakuru; Subrata Chakraborty; Massimo Salvi; Oliver Faust; Prabal Datta Barua; Makiko Kobayashi; Ru-San Tan; Filippo Molinari; Abdul Hafeez-Baig; U. Rajendra Acharya (IEEE Access, 2025)

A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification. - Mahesh Anil Inamdar; Anjan Gudigar; U. Raghavendra; Massimo Salvi; Raja Rizal Azman Bin Raja Aman; Nadia Fareeda Muhammad Gowdh; Izzah Amirah Binti Mohd Ahir; Mohd Salahuddin Bin Kamaruddin; Khairul Azmi Abdul Kadir; Filippo Molinari; Ajay Hegde; Girish R. Menon; et al. (IEEE Access, 2025)

MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG Signals. - M. Maithri; U. Raghavendra; Anjan Gudigar; Samir Kumar Praharaj; Karthikeyan Sriram; Massimo Salvi; Chai Hong Yeong; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2025)

Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013-2024). - Jahmunah Vicnesh; Massimo Salvi; Yuki Hagiwara; Hah Yan Yee; Hasan Saeed Mir; Prabal Datta Barua; Subrata Chakraborty; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2025)

FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection. - Ilknur Tuncer; Abdul Hafeez-Baig; Prabal Datta Barua; Rena Hajiyeva; Massimo Salvi; Sengul Dogan; Turker Tuncer; U. Rajendra Acharya (Biomed. Signal Process. Control., 2025)

Augmented reality simulation framework for minimally invasive orthopedic surgery. - Antonio Cangelosi; Giacomo Riberi; Paolo Titolo; Massimo Salvi; Filippo Molinari; Luca Ulrich; Enrico Vezzetti; Marco Agus; Corrado Calì (Comput. Biol. Medicine, 2025)

Semantic-driven synthesis of histological images with controllable cellular distributions. - Alen Shahini; Alessandro Gambella; Filippo Molinari; Massimo Salvi (Comput. Methods Programs Biomed., 2025)

Parametric kernels for artifact mitigation in patch-based image aggregation using generative models. - Nicola Michielli; Francesco Marzola; Francesco Branciforti; Kristen M. Meiburger; Alessandro Gambella; Massimo Salvi (Comput. Vis. Image Underst., 2025)

Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review. - Sreeni Chadalavada; Oliver Faust; Massimo Salvi; Silvia Seoni; Nawin Raj; U. Raghavendra; Anjan Gudigar; Prabal Datta Barua; Filippo Molinari; Udyavara Rajendra Acharya (Environ. Model. Softw., 2025)

Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare. - Massimo Salvi; Silvia Seoni; Andrea Campagner; Arkadiusz Gertych; U. Rajendra Acharya; Filippo Molinari; Federico Cabitza (Int. J. Medical Informatics, 2025)

Artificial intelligence-based suicide prevention and prediction: A systematic review (2019-2023). - Anirudh Atmakuru; Alen Shahini; Subrata Chakraborty; Silvia Seoni; Massimo Salvi; Abdul Hafeez-Baig; Sadaf Rashid; Ru-San Tan; Prabal Datta Barua; Filippo Molinari; U. Rajendra Acharya (Inf. Fusion, 2025)

A systematic review for artificial intelligence-driven assistive technologies to support children with neurodevelopmental disorders. - Alen Shahini; Aditya Prabhakara Kamath; Ekta Sharma; Massimo Salvi; Ru-San Tan; Siuly Siuly; Silvia Seoni; Rahul Ganguly; Aruna Devi; Ravinesh C. Deo; Prabal Datta Barua; U. Rajendra Acharya (Inf. Fusion, 2025)

Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review. - Samiul Based Shuvo; Syed Samiul Alam; Syeda Umme Ayman; Arbil Chakma; Massimo Salvi; Silvia Seoni; Prabal Datta Barua; Filippo Molinari; U. Rajendra Acharya (WIREs Data. Mining. Knowl. Discov., 2025)