Massimo Salvi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Top Venues

Comput. Biol. Medicine

Comput. Methods Programs Biomed.

Publications

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
Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023). Comput. Biol. Medicine 172 (2024)
Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, Massimo Salvi, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya, Nusrat Homaira
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques. Expert Syst. Appl. 255 (2024)
Massimo Salvi, Alessandro Mogetta, U. Raghavendra, Anjan Gudigar, U. Rajendra Acharya, Filippo Molinari
A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology. Appl. Soft Comput. 165 (2024)
Silvia Seoni, Alen Shahini, Kristen M. Meiburger, Francesco Marzola, Giulia Rotunno, U. Rajendra Acharya, Filippo Molinari, Massimo Salvi
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. 250 (2024)
Massimo Salvi, Hui Wen Loh, Silvia Seoni, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya
Multi-modality approaches for medical support systems: A systematic review of the last decade. Inf. Fusion 103 (2024)
Tanweer Ali, Sameena Pathan, Massimo Salvi, Kristen M. Meiburger, Filippo Molinari, U. Rajendra Acharya
CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images. IEEE Access 12 (2024)
Massimo Salvi, Francesco Branciforti, Filippo Molinari, Kristen M. Meiburger
Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm. Expert Syst. Appl. 245 (2024)
Silvia Seoni, Filippo Molinari, U. Rajendra Acharya, Shu Lih Oh, Prabal Datta Barua, Salvador García, Massimo Salvi
Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals. Inf. Sci. 665 (2024)
Massimo Salvi, Nicola Michielli, Kristen M. Meiburger, Cristina Cattelino, Bruna Cotrufo, Matteo Giacosa, Chiara Giovanzana, Filippo Molinari
cyto-Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels. Int. J. Imaging Syst. Technol. 34 (1) (2024)
Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm. Medical Imaging: Computer-Aided Diagnosis (2023)
Silvia Seoni, Jahmunah Vicnesh, Massimo Salvi, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023). Comput. Biol. Medicine 165 (2023)
Massimo Salvi, Claudia Manini, Jose I. López, Dario Fenoglio, Filippo Molinari
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase. Comput. Medical Imaging Graph. 109 (2023)
Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi
Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study. DSP (2023)
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
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images. IEEE Access 11 (2023)
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
YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images. IEEE Access 11 (2023)
Massimo Salvi, Bruno De Santi, Bianca Pop, Martino Bosco, Valentina Giannini, Daniele Regge, Filippo Molinari, Kristen M. Meiburger
Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images. J. Imaging 8 (5) (2022)
Massimo Salvi, Francesco Branciforti, Federica Veronese, Elisa Zavattaro, Vanessa Tarantino, Paola Savoia, Kristen M. Meiburger
DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks. Comput. Methods Programs Biomed. 225 (2022)
Massimo Salvi, Martino Bosco, Luca Molinaro, Alessandro Gambella, Mauro Papotti, U. Rajendra Acharya, Filippo Molinari
A hybrid deep learning approach for gland segmentation in prostate histopathological images. Artif. Intell. Medicine 115 (2021)
Massimo Salvi, Alessandro Mogetta, Alessandro Gambella, Luca Molinaro, Antonella Barreca, Mauro Papotti, Filippo Molinari
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning. Comput. Medical Imaging Graph. 90 (2021)
Massimo Salvi, U. Rajendra Acharya, Filippo Molinari, Kristen M. Meiburger
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis. Comput. Biol. Medicine 128 (2021)
Bruno De Santi, Massimo Salvi, Valentina Giannini, Kristen M. Meiburger, Francesco Marzola, Filippo Russo, Martino Bosco, Filippo Molinari
Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images. EMBC (2020)
Massimo Salvi, Luca Molinaro, Jasna Metovic, Damiano Patrono, Renato Romagnoli, Mauro Papotti, Filippo Molinari
Fully automated quantitative assessment of hepatic steatosis in liver transplants. Comput. Biol. Medicine 123 (2020)
Diletta Balta, Massimo Salvi, Filippo Molinari, Giulio Figari, Gabriele Paolini, Ugo Della Croce, Andrea Cereatti
A two-dimensional clinical gait analysis protocol based on markerless recordings from a single RGB-Depth camera. MeMeA (2020)
Massimo Salvi, Nicola Michielli, Filippo Molinari
Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology. Comput. Methods Programs Biomed. 193 (2020)
Francesco Marzola, Nens van Alfen, Massimo Salvi, Bruno De Santi, Jonne Doorduin, Kristen M. Meiburger
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks. EMBC (2020)
Bruno De Santi, Massimo Salvi, Valentina Giannini, Kristen M. Meiburger, Nicola Michielli, Silvia Seoni, Daniele Regge, Filippo Molinari
Multimodal T2w and DWI Prostate Gland Automated Registration. EMBC (2019)
Massimo Salvi, Filippo Molinari, Natalia Dogliani, Martino Bosco
Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma. Comput. Biol. Medicine 110 (2019)
Silvia Seoni, Federica Veronese, Vanessa Tarantino, Elisa Zavattaro, Massimo Salvi, Nicola Michielli, Bruno De Santi, Filippo Molinari, Paola Savoia, Kristen M. Meiburger
Non-invasive analysis of actinic keratosis using a cold stimulation and near-infrared spectroscopy. EMBC (2019)
Kristen M. Meiburger, Federica Veronese, Vanessa Tarantino, Massimo Salvi, Matteo Fadda, Silvia Seoni, Elisa Zavattaro, Bruno De Santi, Nicola Michielli, Paola Savoia, Filippo Molinari
Automatic Extraction of Dermatological Parameters from Nevi Using an Inexpensive Smartphone Microscope: A Proof of Concept. EMBC (2019)
Massimo Salvi
Normal and Triangular Determinantal Representations of Multivariate Polynomials. CoRR (2018)