Massimo Salvi

57 papers Journal 47Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A novel approach using deep belief network patterns and attention binary decomposition for automated community emotion detection.
Biomed. Signal Process. Control.
Arif Metehan Yildiz, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Massimo Salvi, Ru-San Tan, U. Rajendra Acharya
2026 J jnl
Advances in digital health: Multimodal intelligence and translational impact.
Comput. Methods Programs Biomed.
Arkadiusz Gertych, Massimo Salvi, Massimo Mischi
2026 J jnl
Shifting the Focus of Digital Pathology: The Raising Relevance of Pre-Processing Phase Over Model Complexity.
IET Image Process.
Massimo Salvi, Nicola Michielli, Alessandro Mogetta, Alessandro Gambella, Abdulkadir Sengür, Filippo Molinari, Arkadiusz Gertych
2026 J jnl
ShortNeXt: A novel method for accurate classification of colorectal cancer histopathology images.
Comput. Vis. Image Underst.
Prabal Datta Barua, Burak Tasci, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Filippo Molinari, Massimo Salvi, U. Rajendra Acharya
2026 J jnl
SlideInspect: From Pixel-Level Artifact Detection to Actionable Quality Metrics in Digital Pathology.
Int. J. Imaging Syst. Technol.
Manuela Scotto, Roberta Patti, Vincenzo L' Imperio, Filippo Fraggetta, Filippo Molinari, Massimo Salvi
2026 J jnl
Uncertainty-aware semi-supervised learning for neurosurgical navigation.
Appl. Soft Comput.
Francesco Nitti, Silvia Seoni, Alberto Morello, Lorenzo Dolci, Amedeo Piazza, Vincenzo Esposito, Luigi Rosito, Diego Garbossa, Fabio Cofano, Abdulkadir Sengür, Massimo Salvi
2025 J jnl
A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification.
IEEE Access
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, U. Rajendra Acharya
2025 J jnl
A systematic review for artificial intelligence-driven assistive technologies to support children with neurodevelopmental disorders.
Inf. Fusion
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
2025 J jnl
Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013-2024).
IEEE Access
Jahmunah Vicnesh, Massimo Salvi, Yuki Hagiwara, Hah Yan Yee, Hasan Saeed Mir, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya
2025 J jnl
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review.
WIREs Data. Mining. Knowl. Discov.
Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, Arbil Chakma, Massimo Salvi, Silvia Seoni, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya
2025 J jnl
Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review.
Environ. Model. Softw.
Sreeni Chadalavada, Oliver Faust, Massimo Salvi, Silvia Seoni, Nawin Raj, U. Raghavendra, Anjan Gudigar, Prabal Datta Barua, Filippo Molinari, Udyavara Rajendra Acharya
2025 J jnl
Artificial intelligence-based suicide prevention and prediction: A systematic review (2019-2023).
Inf. Fusion
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
2025 J jnl
Augmented reality simulation framework for minimally invasive orthopedic surgery.
Comput. Biol. Medicine
Antonio Cangelosi, Giacomo Riberi, Paolo Titolo, Massimo Salvi, Filippo Molinari, Luca Ulrich, Enrico Vezzetti, Marco Agus, Corrado Calì
2025 J jnl
Deep learning-driven glioblastoma diagnosis from histopathological images via single-cell segmentation and morphological analysis.
Mach. Learn. Sci. Technol.
Gonzalo Rosa-Olmeda, Sara Hiller-Vallina, Manuel Villa, Massimo Salvi, Ricardo Gargini, Miguel Chavarrías
2025 J jnl
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare.
Int. J. Medical Informatics
Massimo Salvi, Silvia Seoni, Andrea Campagner, Arkadiusz Gertych, U. Rajendra Acharya, Filippo Molinari, Federico Cabitza
2025 J jnl
Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications.
IEEE Access
Anirudh Atmakuru, Subrata Chakraborty, Massimo Salvi, Oliver Faust, Prabal Datta Barua, Makiko Kobayashi, Ru-San Tan, Filippo Molinari, Abdul Hafeez-Baig, U. Rajendra Acharya
2025 J jnl
FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection.
Biomed. Signal Process. Control.
Ilknur Tuncer, Abdul Hafeez-Baig, Prabal Datta Barua, Rena Hajiyeva, Massimo Salvi, Sengul Dogan, Turker Tuncer, U. Rajendra Acharya
2025 J jnl
MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG Signals.
IEEE Access
M. Maithri, U. Raghavendra, Anjan Gudigar, Samir Kumar Praharaj, Karthikeyan Sriram, Massimo Salvi, Chai Hong Yeong, Filippo Molinari, U. Rajendra Acharya
2025 — conf
Momaku: A Retinal Image Annotation Platform.
ICIAP (2)
Michele Cannito, Anna Maria Llopart, Nerea Ferrara, Massimo Salvi, Alicia Serra, Arnau Valls, Oscar Camara, Adrian Galdran
2025 J jnl
Parametric kernels for artifact mitigation in patch-based image aggregation using generative models.
Comput. Vis. Image Underst.
Nicola Michielli, Francesco Marzola, Francesco Branciforti, Kristen M. Meiburger, Alessandro Gambella, Massimo Salvi
2025 J jnl
Real-time beat-to-beat pulse wave velocity estimation: a quality-driven approach using laser Doppler vibrometry.
Medical Biol. Eng. Comput.
Silvia Seoni, Patrick Segers, Simeon Beeckman, Massimo Salvi, Marco Romanelli, Smriti Badhwar, Rosa Maria Bruno, Yanlu Li, Soren Aasmul, Nilesh Madhu, Filippo Molinari, Umberto Morbiducci
2025 J jnl
Semantic-driven synthesis of histological images with controllable cellular distributions.
Comput. Methods Programs Biomed.
Alen Shahini, Alessandro Gambella, Filippo Molinari, Massimo Salvi
2024 J jnl
A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology.
Appl. Soft Comput.
Massimo Salvi, Alessandro Mogetta, U. Raghavendra, Anjan Gudigar, U. Rajendra Acharya, Filippo Molinari
2024 J jnl
All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems.
Comput. Methods Programs Biomed.
Silvia Seoni, Alen Shahini, Kristen M. Meiburger, Francesco Marzola, Giulia Rotunno, U. Rajendra Acharya, Filippo Molinari, Massimo Salvi
2024 J jnl
Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals.
Inf. Sci.
Silvia Seoni, Filippo Molinari, U. Rajendra Acharya, Shu Lih Oh, Prabal Datta Barua, Salvador García, Massimo Salvi
2024 J jnl
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013-2023).
WIREs Data. Mining. Knowl. Discov.
Massimo Salvi, Madhav R. Acharya, Silvia Seoni, Oliver Faust, Ru-San Tan, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya
2024 J jnl
Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023).
Comput. Biol. Medicine
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, U. Rajendra Acharya
2024 J jnl
CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images.
IEEE Access
Tanweer Ali, Sameena Pathan, Massimo Salvi, Kristen M. Meiburger, Filippo Molinari, U. Rajendra Acharya
2024 J jnl
Computational Synthesis of Histological Stains: A Step Toward Virtual Enhanced Digital Pathology.
Int. J. Imaging Syst. Technol.
Massimo Salvi, Nicola Michielli, Lorenzo Salamone, Alessandro Mogetta, Alessandro Gambella, Luca Molinaro, Mauro Papotti, Filippo Molinari
2024 J jnl
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques.
Expert Syst. Appl.
Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, Massimo Salvi, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya, Nusrat Homaira
2024 J jnl
Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm.
Expert Syst. Appl.
Massimo Salvi, Francesco Branciforti, Filippo Molinari, Kristen M. Meiburger
2024 J jnl
Hybrid Wavelet-Deep Learning Framework for Fluorescence Microscopy Images Enhancement.
Int. J. Imaging Syst. Technol.
Francesco Branciforti, Maura Maggiore, Kristen M. Meiburger, Tania Pannellini, Massimo Salvi
2024 J jnl
Multi-modality approaches for medical support systems: A systematic review of the last decade.
Inf. Fusion
Massimo Salvi, Hui Wen Loh, Silvia Seoni, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya
2024 J jnl
Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images.
IEEE Access
Massimo Salvi, Kristen M. Meiburger, Filippo Molinari
2024 J jnl
cyto-Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels.
Int. J. Imaging Syst. Technol.
Massimo Salvi, Nicola Michielli, Kristen M. Meiburger, Cristina Cattelino, Bruna Cotrufo, Matteo Giacosa, Chiara Giovanzana, Filippo Molinari
2023 J jnl
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images.
IEEE Access
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
2023 J jnl
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023).
Comput. Biol. Medicine
Silvia Seoni, Jahmunah Vicnesh, Massimo Salvi, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya
2023 — conf
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm.
Computer-Aided Diagnosis
Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi
2023 J jnl
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase.
Comput. Medical Imaging Graph.
Massimo Salvi, Claudia Manini, Jose I. López, Dario Fenoglio, Filippo Molinari
2023 — conf
Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study.
DSP
Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi
2023 J jnl
YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images.
IEEE Access
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
2022 J jnl
DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks.
Comput. Methods Programs Biomed.
Massimo Salvi, Francesco Branciforti, Federica Veronese, Elisa Zavattaro, Vanessa Tarantino, Paola Savoia, Kristen M. Meiburger
2022 J jnl
Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images.
J. Imaging
Massimo Salvi, Bruno De Santi, Bianca Pop, Martino Bosco, Valentina Giannini, Daniele Regge, Filippo Molinari, Kristen M. Meiburger
2021 J jnl
A hybrid deep learning approach for gland segmentation in prostate histopathological images.
Artif. Intell. Medicine
Massimo Salvi, Martino Bosco, Luca Molinaro, Alessandro Gambella, Mauro Papotti, U. Rajendra Acharya, Filippo Molinari
2021 J jnl
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning.
Comput. Medical Imaging Graph.
Massimo Salvi, Alessandro Mogetta, Alessandro Gambella, Luca Molinaro, Antonella Barreca, Mauro Papotti, Filippo Molinari
2021 J jnl
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis.
Comput. Biol. Medicine
Massimo Salvi, U. Rajendra Acharya, Filippo Molinari, Kristen M. Meiburger
2020 — conf
A two-dimensional clinical gait analysis protocol based on markerless recordings from a single RGB-Depth camera.
MeMeA
Diletta Balta, Massimo Salvi, Filippo Molinari, Giulio Figari, Gabriele Paolini, Ugo Della Croce, Andrea Cereatti
2020 — conf
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks.
EMBC
Francesco Marzola, Nens van Alfen, Massimo Salvi, Bruno De Santi, Jonne Doorduin, Kristen M. Meiburger
2020 — conf
Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images.
EMBC
Bruno De Santi, Massimo Salvi, Valentina Giannini, Kristen M. Meiburger, Francesco Marzola, Filippo Russo, Martino Bosco, Filippo Molinari
2020 J jnl
Fully automated quantitative assessment of hepatic steatosis in liver transplants.
Comput. Biol. Medicine
Massimo Salvi, Luca Molinaro, Jasna Metovic, Damiano Patrono, Renato Romagnoli, Mauro Papotti, Filippo Molinari
2020 J jnl
Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology.
Comput. Methods Programs Biomed.
Massimo Salvi, Nicola Michielli, Filippo Molinari
2019 — conf
Automatic Extraction of Dermatological Parameters from Nevi Using an Inexpensive Smartphone Microscope: A Proof of Concept.
EMBC
Kristen M. Meiburger, Federica Veronese, Vanessa Tarantino, Massimo Salvi, Matteo Fadda, Silvia Seoni, Elisa Zavattaro, Bruno De Santi, Nicola Michielli, Paola Savoia, Filippo Molinari
2019 J jnl
Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma.
Comput. Biol. Medicine
Massimo Salvi, Filippo Molinari, Natalia Dogliani, Martino Bosco
2019 — —
Modellizzazione ed Interpretazione dei Processi Fisiopatologici attraverso Immagini Mediche Multimodali e Multiscala.
Massimo Salvi
2019 — conf
Multimodal T2w and DWI Prostate Gland Automated Registration.
EMBC
Bruno De Santi, Massimo Salvi, Valentina Giannini, Kristen M. Meiburger, Nicola Michielli, Silvia Seoni, Daniele Regge, Filippo Molinari
2019 — conf
Non-invasive analysis of actinic keratosis using a cold stimulation and near-infrared spectroscopy.
EMBC
Silvia Seoni, Federica Veronese, Vanessa Tarantino, Elisa Zavattaro, Massimo Salvi, Nicola Michielli, Bruno De Santi, Filippo Molinari, Paola Savoia, Kristen M. Meiburger
2018 J jnl
Normal and Triangular Determinantal Representations of Multivariate Polynomials.
CoRR
Massimo Salvi