Massimo Salvi

Orcid: 0000-0001-7225-7401

According to our database1, Massimo Salvi authored at least 33 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2025
Artificial intelligence-based suicide prevention and prediction: A systematic review (2019-2023).
Inf. Fusion, 2025

2024
Multi-modality approaches for medical support systems: A systematic review of the last decade.
Inf. Fusion, March, 2024

cyto-Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels.
Int. J. Imaging Syst. Technol., January, 2024

Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals.
Inf. Sci., 2024

Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm.
Expert Syst. Appl., 2024

Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques.
Expert Syst. Appl., 2024

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., 2024

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023).
Comput. Biol. Medicine, 2024

A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology.
Appl. Soft Comput., 2024

Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images.
IEEE Access, 2024

CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images.
IEEE Access, 2024

2023
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase.
Comput. Medical Imaging Graph., October, 2023

Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023).
Comput. Biol. Medicine, October, 2023

YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images.
IEEE Access, 2023

A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images.
IEEE Access, 2023

Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023

2022
Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images.
J. Imaging, 2022

DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks.
Comput. Methods Programs Biomed., 2022

2021
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning.
Comput. Medical Imaging Graph., 2021

The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis.
Comput. Biol. Medicine, 2021

A hybrid deep learning approach for gland segmentation in prostate histopathological images.
Artif. Intell. Medicine, 2021

2020
Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology.
Comput. Methods Programs Biomed., 2020

Fully automated quantitative assessment of hepatic steatosis in liver transplants.
Comput. Biol. Medicine, 2020

A two-dimensional clinical gait analysis protocol based on markerless recordings from a single RGB-Depth camera.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Modellizzazione ed Interpretazione dei Processi Fisiopatologici attraverso Immagini Mediche Multimodali e Multiscala.
PhD thesis, 2019

Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma.
Comput. Biol. Medicine, 2019

Non-invasive analysis of actinic keratosis using a cold stimulation and near-infrared spectroscopy.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Multimodal T2w and DWI Prostate Gland Automated Registration.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Automatic Extraction of Dermatological Parameters from Nevi Using an Inexpensive Smartphone Microscope: A Proof of Concept.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Normal and Triangular Determinantal Representations of Multivariate Polynomials.
CoRR, 2018


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